❤️ THANKS FOR WATCHING FAM LOVE U ❤️

VIDEO WITH JAMIE PAIGE:
https://www.youtube.com/watch?v=Ex-N_MB6iUc

FOLLOW JAMIE!
https://www.youtube.com/channe....l/UCzqyss12CyV4jZtrh
https://www.instagram.com/jamiepaigebeauty/?hl=en

KATIE JANE HUGHES:
https://www.instagram.com/katiejanehughes/?hl=en

---------------------------------------------------------------------------------------------

COME SAY HELLO!

INSTAGRAM @allanaramaa
https://www.instagram.com/allanaramaa/
TWITTER @allanaramaa
https://twitter.com/allanaramaa
Spotify @ allanaramaa

For business inquiries, email me at allanaramaa@gmail.com

---------------------------------------------------------------------------------------------

PRODUCTS USED:

Marc Jacobs Blacquer Highliner
http://bit.ly/2UdHIzA
VB Tweed Smokey Eye Brick
https://bit.ly/2ktEF6s
VB Mink Lid Lustre
https://bit.ly/2kv6sn4
Kiko Milano 02 glitter shower
http://bit.ly/2mUZ99g
Tom Ford Badass Black Mascara
http://bit.ly/2VG6ERN
KKW 1.5 Nude Liner
https://bit.ly/2yBWTsT
Revlon 700 HD Sand Gel Lip Color
https://bit.ly/2owK2U8

MAKEUP ON MY FACE THAT I DIDN'T SHOW:
*Vichy Mineral 89 Face Serum
http://bit.ly/2lHHu3X
Chanel Les Beiges Water-Fresh Tint
http://bit.ly/32IiZVA
Westman Atelier Foundation shade III
http://bit.ly/32MAoMw
RMS Un Cover-Up Concealer Shade 22
http://bit.ly/2I4cenr
Tom Ford Shade and Illuminate
http://bit.ly/2YZLuj0
*Benefit Hoola Bronzer
http://bit.ly/2HAxpgr
Lilah B Bronzing Duo
http://bit.ly/2TmPI1F
MAC Whisper of Gilt Highlighter
http://bit.ly/2HLlkFf
Juice Beauty 04 Flush Cream Blush
http://bit.ly/2kQxKEI
*Benefit Precisely My Brow Pencil
http://bit.ly/2EIBw92
*Hourglass Blonde Arch Brow Gel
http://bit.ly/2JuK0WK

*Items denoted with * are gifted items

---------------------------------------------------------------------------------------------

Top: Zara

Estee Lalonde x Daisy Earrings (gifted)
http://bit.ly/2mY3gkX

Lisa Gozlan rings
https://www.lisagozlan.com/collections/rings

David Yurman Pure Form Duo
http://bit.ly/2VPc1OD

---------------------------------------------------------------------------------------------

Edits: DEJAN THE MAN XO

FTC: This video is not sponsored and some of the above links are affiliate links. Items denoted with * are gifted items XO

Ryan Pretend Play School Last Day Learning and Test Day!!!! It's Last Day of school as Ryan and Daddy learn healthy choices for food, body parts, learn colors and more! Fun Kids Pretend Play video!!!

Daniels Pavļuts received his Bachelour of Arts degree in Piano Performance at the Latvian Music academy, but his Master's in Public Administration (MPA) at Harvard University.

Daniels is a former secretary of state at the Ministry of Culture, has worked at various establishments as the board member and has served in several administrations. Held a private consultancy practice. In 2011 became the Minister of Economics in Valdis Dombrovskis government.

About TEDx, x = independently organized event
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.*
(*Subject to certain rules and regulations)

Listen English Everyday | How to understand native English speakers | Short Story
Please LIKE, COMMENT, SUBSCRIBE and SHARE as this really helps me out :)

What is the best programming language to learn for machine learning? There are a lot options, and a lot of opinions on this. I'm going to describe the top 3, using code, animations, and data to validate my point. We'll learn about tensorflow.js, several python libraries, and why C++ compiles code so fast. All of that in just 8 minutes, enjoy!

Code for this video:
https://github.com/llSourcell/....Best-Programming-Lan

Please Subscribe! And like. And comment. That's what keeps me going.

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology

This video is apart of my Machine Learning Journey course:
https://github.com/llSourcell/Machine...

More Learning Resources:
https://www.youtube.com/watch?v=T5pRlIbr6gg&vl=en
https://learnpythonthehardway.org/
https://github.com/tensorflow/tfjs-examples
https://blog.bitsrc.io/11-java....script-machine-learn
https://www.youtube.com/watch?v=1cHx1baKqq0
http://www.cplusplus.com/doc/tutorial/

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

Sign up for the next course at The School of AI:
https://www.theschool.ai

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!

The belief in learning styles is so widespread, it is considered to be common sense. Few people ever challenge this belief, which has been deeply ingrained in our educational system. Teachers are routinely told that in order to be effective educators, they must identify & cater to individual students' learning styles; it is estimated that around 90% of students believe that they have a specific learning style but research suggests that learning styles don't actually exist! This presentation focuses on debunking this myth via research findings, explaining how/why the belief in learning styles is problematic, and examining the reasons why the belief persists despite the lack of evidence.


Dr. Tesia Marshik is an Assistant Professor of Psychology at the University of Wisconsin-La Crosse. Her research interests in educational psychology include student motivation, self-regulation, and teacher-student relationships.



This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Transfer learning is a statistical technique that's been getting more attention lately that enables you to reuse a model for a different task than what it was trained for. In this episode, I’m going to show you how to use transfer learning to predict instances of gold deposits using publicly available satellite imagery. We'll discuss the 4 different mathematical ways to frame the transfer learning problem, then look into how a U-Net architecture works. The U-Net is really popular for image segmentation and classification tasks on sites like Kaggle, so knowing how it works will be a useful skill. Enjoy!

Code for this video:
https://github.com/llSourcell/mapo

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval

Goldspot:
https://goldspot.ca/

Natural Language Processing:
https://www.youtube.com/watch?v=bDxFvr1gpSU

Convolutional Neural Networks:
https://www.youtube.com/watch?v=FTr3n7uBIuE

Watch Me Build an AI Startup:
https://www.youtube.com/watch?v=NzmoPqte4V4

Make Money with Tensorflow 2.0:
https://www.youtube.com/watch?v=WS9Nckd2kq0

Watch the first episode of my podcast:
https://www.youtube.com/watch?v=IWAe_mdTslc

Biotechnology:
https://www.youtube.com/watch?v=FTr3n7uBIuE

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!

Join us at the School of AI:
https://theschool.ai/

Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

And please support me on Patreon:
https://www.patreon.com/user?u=3191693

Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.

Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.

In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.

________________________

Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2....014-03-NN-Manifolds-

You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/....karpathy/convnetjs/d

Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D

The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB

Subscribe if you would like to see more of these! - http://www.youtube.com/subscri....ption_center?add_use

Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu

Károly Zsolnai-Fehér's links:
Patreon → https://www.patreon.com/TwoMinutePapers
Facebook → https://www.facebook.com/TwoMinutePapers/
Twitter → https://twitter.com/karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/

When 50,000 of Mark Rober's 3 million YouTube subscribers participated in a basic coding challenge, the data all pointed to what Rober has dubbed the Super Mario Effect. The YouTube star and former NASA engineer describes how this data-backed mindset for life gamification has stuck with him along his journey, and how it impacts the ways he helps (or tricks) his viewers into learning science, engineering, and design. Mark Rober has made a career out of engineering, entertainment, and education. After completing degrees in mechanical engineering from Brigham Young University and the University of Southern California, Rober joined NASA’s Jet Propulsion Laboratory in 2004. In his nine years as a NASA engineer, seven of which were on the Mars rover Curiosity team, Rober worked on both the Descent Stage (the jet pack that lowered the Rover to the surface) and some hardware on the Rover top deck for collecting samples. In 2011, Rober’s iPad-based Halloween costume helped launch both his creative costume company, Digital Dudz, and his YouTube channel, which now boasts 3 million subscribers and 400 million views. His videos focus on creative ideas and science- and engineering-based pranks and activities. Rober is a regular guest on "Jimmy Kimmel Live!". Today, he does research and development work for a large technology company in Northern California, where he lives with his wife and son. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms for reinforcement learning including Q-Learning, policy gradients, and Actor-Critic. We show how deep reinforcement learning has been used to play Atari games and to achieve super-human Go performance in AlphaGo.

Keywords: Reinforcement learning, RL, Markov decision process, MDP, Q-Learning, policy gradients, REINFORCE, actor-critic, Atari games, AlphaGo

Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017

--------------------------------------------------------------------------------------

Convolutional Neural Networks for Visual Recognition

Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

Website:
http://cs231n.stanford.edu/

For additional learning opportunities please visit:
http://online.stanford.edu/

This talk was given at a local TEDx event, produced independently of the TED Conferences. Blended Learning has become a catch phrase-- a buzzword for using technology in the classroom. The idea is used to describe the education system's response to the need for 21st century skills, a solution to the budget crisis in schools, and a beacon of hope for the transformation of education through individual interventions. In my talk I sharpen the idea of blended learning and offer some insight on potential successes and pitfalls of implementing a true blended model. Blended learning has enormous potential but it is not a panacea for the woes of education. Drawing on my experience in a blended classroom and as an administrator my goal is to contribute to the debate that is currently happening in our school districts, in our schools, and in our media over the incorporation of technology in education.

Monique is currently teaching in the Education Department at Ithaca College, training the newest generation of future teachers as they prepare to inspire their students. Education is her career and passion. Last year she was part of the founding team at Alpha: Blanca Alvarado Middle School, a blended learning charter school in San Jose which is integrating technology to innovate on the middle school curriculum. Prior to that she was an assistant principal, taught math and science, coached volleyball, and created an Outdoor Education Program for middle school students. Monique received her MEd in School Leadership from Harvard University and her BS in Human Development from Cornell University.

About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.

INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-learning-basics-slides
Playlist: http://bit.ly/deep-learning-playlist
Blog post: https://link.medium.com/TkE476jw2T

OUTLINE:
0:00 - Introduction
0:53 - Deep learning in one slide
4:55 - History of ideas and tools
9:43 - Simple example in TensorFlow
11:36 - TensorFlow in one slide
13:32 - Deep learning is representation learning
16:02 - Why deep learning (and why not)
22:00 - Challenges for supervised learning
38:27 - Key low-level concepts
46:15 - Higher-level methods
1:06:00 - Toward artificial general intelligence

CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
- LinkedIn: https://www.linkedin.com/in/lexfridman
- Facebook: https://www.facebook.com/lexfridman
- Instagram: https://www.instagram.com/lexfridman

What is LinkedIn Learning? How good is it? Is it worth the cost? What's all included on the platform? I'll be answering these questions and showing you how to use LinkedIn Learning in this video.

I've spent over 20+ hours on the platform now and have a lot to say about it. Press play to find out if lynda.com is right for you.

Listen To English Conversation. Improve your English by listening to this English Conversation video. This video uses powerful binaural beats and sleep learning technology to help you improve your English speaking ability. It will help you recognise familiar words and teach you how basic English sentences are formed and used. It will also help you learn by totally immersing you in the English language which is proving to be hugely popular and successful. This audio features multiple dialogues of every day English conversation. This video uses advanced binaural beats to help you learn and recognise new words, as well as reinforcing English words you already know and helping you establish how these words are used in general every day conversation.

★How To Use Most Successfully★
- Listen to this video with headphones.
- Listen to this video as you are going to sleep
- Try and clear your mind of all other thoughts
- Repeat the sentences and words out loud if possible
- Visualise the sentences in your head.
- Leave on as you fall asleep
- Repeat the sentences you remember throughout your day
- Try and use parts of the conversation in your daily life
- Do this for 30 days to see massive results

★Video Description★:

This English Conversation video is designed specifically to help you learn English. Listening to English conversation and hearing English conversation being spoken is proving to be an extremely popular learning method, as it is a great way of immersing yourself in a language you are trying to learn. It is great for helping you learn new English words, but more importantly recognising how certain words you have learnt are used in sentences, and in general English conservation. The brain does have the ability to absorb information whilst you’re asleep, as you may know from experience when real sounds from reality have entered your dream and woke you up. This works under a similar principle however the binaural beats ensure you are not woken up and that it is only the learning part of your brain that is listening to the video. Your brain has an optimal frequency for learning, (when you are totally focussed and absorb information easily), your brain also has a perfect frequency for remembering newly processed information and finally there is a frequency of the brain that allows your subconscious to absorb information whilst you sleep. When you then understand that binaural beats can put your brain at any frequency you want, it then becomes clear how this actually works. You are using binaural beats to basically get the most out of your brain.

★Main Features★:

- English Conversation
In this video we use every day English conversation. It uses daily/ typical conversations between 2 English speaking people. This is a great way to help familiarise yourself with the English language and give you a good chance to learn and remember new English words. We use typical English conversation which is suitable for all levels of English speakers, from beginner through to advanced.
This will obviously help with studying for exams like, SAT, IELTS, TOEFL and Cambridge CAE and CPE. This video is great for helping you improve you own English speaking ability and perhaps identify how to use certain words and English phrases you are already familiar with and not quite sure how to use correctly.

- Binaural Beats:
Binaural beats used are: Theta 8.0 Hz, Delta 4.0 Hz, Delta 3.0 Hz. These binaural beats are claimed to improve learning, encourage sleep learning, improve our ability to remember specific places and finally to improve memory and help process newly absorbed information. The combination of these 3 specific frequencies is hugely powerful. There are played in the correct order allowing for complete processing, understanding and most importantly memorising.

- Soothing Music:
Soothing background music, there is some very soft music playing in the background just to distract from the sounds of the binaural beats and to ensure you are not distracted from the words you are learning.

- Subtitles:
Subtitles have been included in this English video due to popular demand.

- HD Images:
The images are there as a nice background, only 1 image is used as not to drain your battery or cause any buffering issues, we realise in this video actual images aren’t that important as it is more about what is being said than what you can see.

Warning:
Please remember first and foremost Theta/Delta waves are associated with sleep like states, so it is not advisable to use this video whilst driving.

Credits:
Adrift by Christopher Lloyd Clarke. http://www.christopherlloydclarke.com.

The only barrier to learning a language is memory. - The process of language learning is the process of forming memories. Nothing more, nothing less. If you understand that, and you understand how memories are formed, then you can make progress in a way you've never dreamed possible before. Gabriel Wyner is an author, opera singer and polyglot based in Chicago. After reaching fluency in German in 14 weeks with the help of the immersive Middlebury Language Schools, he fell in love with the process of language learning, going on to spend two months in intensive Italian courses in Perugia, Italy. Searching for ways to bring the immersion experience into the home, he began to develop a system that rapidly builds fluency in short, daily sessions. In 2010, his efforts paid off. He learned French to fluency in 5 months, and then Russian in 10 months.

Born in Los Angeles, he graduated summa cum laude in 2007 from the University of Southern California with dual degrees in Mechanical Engineering and Vocal Arts Performance, and was awarded the Renaissance Scholar’s prize for excellence in unrelated disciplines. He then moved to Vienna to pursue triple Master’s degrees at the Konservatorium Wien in Opera, Lieder and Voice, and graduated with honors in 2011.

Currently learning Japanese, he's learned Hungarian and Spanish over the last few years. His book on language learning – Fluent Forever: How to learn any language fast and never forget it – was published on August 5, 2014 (Harmony/Random House). His most recent project has been the development of a new language learning tool, which became the most successful Kickstarter for an app in history in September of 2017. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

For More information Please visit
https://www.appliedaicourse.com

We've had a lot of you guys requesting more affordable project boat tours, and this one definitely qualifies. The Bayfield 36 is a great boat model for a couple to own, refit, and cruise aboard. It's a cutter-rigged, full-keeled, go-anywhere bluewater cruiser at a realistic price point, and it has a bath tub! We love the design, but our two biggest complaints are engine access and the location of the chart table. No boat is perfect though, so we still believe the positives outweigh the negatives and it's a great boat for the money.

-----------------------------------------------------------------------------------------------------------------------------------------------

Sailing Soulianis' Boat Buying Dashboard:

http://sailingsoulianis.com/sh....op/ltl-boat-buying-d


-----------------------------------------------------------------------------------------------------------------------------------------------

Asking price: $24,500

You can find more information along with the broker's contact info here:

https://www.yachtworld.com/boa....ts/1988/bayfield-36-

-----------------------------------------------------------------------------------------------------------------------------------------------

Please consider joining our Patreon crew:
https://www.patreon.com/learningthelines

Facebook: https://www.facebook.com/learningthelines/

Instagram: https://www.instagram.com/learningthelines/

-----------------------------------------------------------------------------------------------------------------------------------------------

Learning the Lines is a channel about us, an average couple in our 20's, with big dreams to be sailing the world by the time we're in our 30's. We're not afraid to jump into anything, put in the work, and learn as we go. For this reason our channel is very DIY focused, with the goal to show anyone watching that a lot is possible if you're not afraid to make some mistakes along the way.

Please leave a like and comment if you've enjoyed the video, and subscribe if you haven't already.

*See my latest video, ENGLISH VOCABULARY: DRIVING → https://youtu.be/Qomnr1EoqT4 *

If you’re learning English and looking specifically for how to learn English speaking, here I give you an in-depth tutorial. Spoken English is a skill that students learn alongside of their more traditional studies. In this video I take you through one of my one-of-a-kind Ben Franklin exercises. We’ll use a movie clip to do a thorough analysis of the spoken English used and I’ll show you how to improve your spoken English as we go. I’ve developed this process for learning English over the last 10 years and my students have always loved it! If you’re looking for a fun and unique approach for learning English I think you’ll benefit greatly. Helping English students learn how to improve their English has been my passion for years and I’m excited to help you!

Sign up for Rachel's FREE 10-day mini-course in Accent Reduction and mailing list: http://www.RachelsEnglish.com/newsletter

New to Rachel's English? Where to Start Playlist: https://www.youtube.com/playli....st?list=PLrqHrGoMJdT

Get Rachel's Book: http://RachelsEnglish.com/book
SUBSCRIBE!: http://bit.ly/RE_sub,
Fan! http://bit.ly/RE_FB
Follow! http://www.twitter.com/Rachels_English

Improve your American Accent / spoken English at Rachel's English with video-based lessons and exercises. Rachel uses real life English conversation as the basis for teaching how to speak English and how to sound American -- improve listening comprehension skills. Study English vocabulary and English phrases such as phrasal verbs, as well as common expressions in English. Learn American idioms and American slang.

Cải thiện nói tiếng Anh Mỹ / 改善美式英語的發音 / 미국 영어 발음 향상 / アメリカ英語の話し言葉のアクセントを向上させる / Улучшение произношения американского английского языка / Meningkatkan berbicara bahasa Inggris Amerika / Melhore sua pronúncia do inglês americano / Mejora tu pronunciación en Inglés Americano / बात अमेरिकी अंग्रेजी में सुधार تحسين لهجتك الأمريكية الإنجليزية / שפר את המבטא האמריקאי שלך / Améliorez votre prononciation en anglais américain / Migliora la tua pronuncia in inglese americano

...with Rachel's English!

Searching a image when you know the name is possible.
But if you want to search for a name if you have only image or logo then what ?
Google has a feature called google goggle.
This feature helps you detect the name of the logo.
This software works on Artificial Intelligence.

Trainer: Navin Reddy

Editing Monitors :
https://amzn.to/2RfKWgL
https://amzn.to/2Q665JW
https://amzn.to/2OUP21a.

Editing Laptop :
ASUS ROG Strix - (new version) https://amzn.to/2RhumwO

Camera : https://amzn.to/2OR56AV
lens : https://amzn.to/2JihtQo

Mics
https://amzn.to/2RlIe9F
https://amzn.to/2yDkx5F

Check out our website: http://www.telusko.com

Follow Telusko on Twitter: https://twitter.com/navinreddy20

Follow on Facebook:
Telusko : https://www.facebook.com/teluskolearnings
Navin Reddy : https://www.facebook.com/navintelusko

Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20

Subscribe to our other channel:
Navin Reddy : https://www.youtube.com/channe....l/UCxmkk8bMSOF-UBF43
Telusko Hindi :
https://www.youtube.com/channe....l/UCitzw4ROeTVGRRLnC

Subscribe to the channel and learn Programming in easy way.

Java Tutorial for Beginners : https://goo.gl/p10QfB

Scala Tutorials for Java Developers : https://goo.gl/8H1aE5

C Tutorial Playlist : https://goo.gl/8v92pu

Android Tutorial for Beginners Playlist : https://goo.gl/MzlIUJ

XML Tutorial : https://goo.gl/Eo79do

Design Patterns in Java : https://goo.gl/Kd2MWE

Java Servlet : https://goo.gl/R5nHp8

Hibernate Tutorial :https://goo.gl/N5ONYg

Spring MVC Tutorial : https://goo.gl/9ubbG2

OpenShift Tutorial for Beginners : https://goo.gl/s58BQH

Spring Framework with Maven : https://goo.gl/MaEluO

Sql Tutorial for Beginners : https://goo.gl/x3PrTg

String Handling in Java : https://goo.gl/zUdPwa

Array in Java : https://goo.gl/uXTaUy

Socket Programming in Java : https://goo.gl/jlMEbg

Exception Handling in Java : https://goo.gl/N4NbAW

Regards,
Navin Reddy

Home page: https://www.3blue1brown.com/
Brought to you by you: http://3b1b.co/nn1-thanks
Additional funding provided by Amplify Partners

For any early-stage ML entrepreneurs, Amplify would love to hear from you: 3blue1brown@amplifypartners.com

Full playlist: http://3b1b.co/neural-networks

Typo correction: At 14:45, the last index on the bias vector is n, when it's supposed to in fact be a k. Thanks for the sharp eyes that caught that!

For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning: https://goo.gl/Zmczdy

There are two neat things about this book. First, it's available for free, so consider joining me in making a donation Nielsen's way if you get something out of it. And second, it's centered around walking through some code and data which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
https://github.com/mnielsen/ne....ural-networks-and-de

I also highly recommend Chris Olah's blog: http://colah.github.io/

For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/i8D90DkCLhI
https://youtu.be/bxe2T-V8XRs

For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville.

Also, the publication Distill is just utterly beautiful: https://distill.pub/

Lion photo by Kevin Pluck

------------------
Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim

If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.

Music by Vincent Rubinetti.
Download the music on Bandcamp:
https://vincerubinetti.bandcam....p.com/album/the-musi

Stream the music on Spotify:
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people.
------------------

3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).

If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended

Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Home page: https://www.3blue1brown.com/
Brought to you by you: http://3b1b.co/nn2-thanks
And by Amplify Partners.

For any early stage ML startup founders, Amplify Partners would love to hear from you via 3blue1brown@amplifypartners.com

To learn more, I highly recommend the book by Michael Nielsen
http://neuralnetworksanddeeplearning.com/
The book walks through the code behind the example in these videos, which you can find here:
https://github.com/mnielsen/ne....ural-networks-and-de

MNIST database:
http://yann.lecun.com/exdb/mnist/

Also check out Chris Olah's blog:
http://colah.github.io/
His post on Neural networks and topology is particular beautiful, but honestly all of the stuff there is great.

And if you like that, you'll *love* the publications at distill:
https://distill.pub/

For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/i8D90DkCLhI
https://youtu.be/bxe2T-V8XRs

"But I've already voraciously consumed Nielsen's, Olah's and Welch's works", I hear you say. Well well, look at you then. That being the case, I might recommend that you continue on with the book "Deep Learning" by Goodfellow, Bengio, and Courville.

Thanks to Lisha Li (@lishali88) for her contributions at the end, and for letting me pick her brain so much about the material. Here are the articles she referenced at the end:
https://arxiv.org/abs/1611.03530
https://arxiv.org/abs/1706.05394
https://arxiv.org/abs/1412.0233

Music by Vincent Rubinetti:
https://vincerubinetti.bandcam....p.com/album/the-musi

------------------

3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).

If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended

Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Daphne Koller is enticing top universities to put their most intriguing courses online for free -- not just as a service, but as a way to research how people learn. With Coursera (cofounded by Andrew Ng), each keystroke, quiz, peer-to-peer discussion and self-graded assignment builds an unprecedented pool of data on how knowledge is processed.

With Coursera, Daphne Koller and co-founder Andrew Ng are bringing courses from top colleges online, free, for anyone who wants to take them. Bio:
http://www.ted.com/speakers/daphne_koller.html

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, global issues, the arts and more. Find closed captions and translated subtitles in a variety of languages at http://www.ted.com/translate.

Follow TED on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED

If you have questions or comments about this or other TED videos, please go to http://support.ted.com

(** Python Data Science Training: https://www.edureka.co/python **)
In this video on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session:

1. Introduction to Machine Learning

2. Types of Machine Learning

3. Supervised vs Unsupervised vs Reinforcement learning

4. Use Cases

Python Training Playlist: https://goo.gl/Na1p9G
Python Blog Series: https://bit.ly/2RVzcVE

- - - - - - - - - - - - - - - - -

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

- - - - - - - - - - - - - - - - -

How it Works?

1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!


- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Data Science Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Data Science Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR.



During our Python Certification Training, our instructors will help you to:



1. Master the basic and advanced concepts of Python

2. Gain insight into the 'Roles' played by a Machine Learning Engineer

3. Automate data analysis using python

4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application

5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn

6. Explain Time Series and it’s related concepts

7. Perform Text Mining and Sentimental analysis

8. Gain expertise to handle business in the future, living the present

9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands-on Project Experience

- - - - - - - - - - - - - - - - - - -



Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.

Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.

Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

For online Data Science training, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.