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We play Baldi's Basics in education and learning in real life homeschool edition!

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Music: es

#TY3F #TY3Family

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Thanks For Watching! Make Today An Adventure and GO PLAY!
-The Adventurers
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The Duke University School of Medicine has begun incorporating team-based learning into its medical curriculum to help better prepare future physicians for the changing landscape of health care, which will become increasingly team-based and collaborative.

Ein Gespräch über virtuelle Hochschulen, Alternativen zur klassischen Vorlesung und das Modell "Inverted Classroom". Interview mit Prof. Dr. Jörn Loviscach vom Fachbereich Ingenieurwissenschaften und Mathematik an der Fachhochschule Bielefeld.

Mehr Videos zum Thema:

Jan Philipp Schmidt: MOOCs - Digitale Lernwelten
http://www.youtube.com/watch?v=ygKaaOXtn-M

MOOC-Wettbewerb: Stimmen aus der Expertenjury
http://www.youtube.com/watch?v=OTtVXZx8CDg

Massive Open Online Courses - Experimente wagen
http://www.youtube.com/watch?v=FdqdYctrFUY

Massive Open Online Courses - Alte Lernstrukturen bröckeln
http://www.youtube.com/watch?v=HMF7GvGYHxs

iversity: Open Courses
http://www.youtube.com/watch?v=U9n1wvEzUiE

Markus Albers: Internet? Renaissance des Unternehmertums!
https://www.youtube.com/watch?v=1B5csjIIIdQ

Felix Schaumburg: Schule wird digital
https://www.youtube.com/watch?v=dby6JV_04Hc

Gregory R. Crane: Humanities Go Digital
https://www.youtube.com/watch?v=M4VS2Pwmzrs

Harper Reed: Talking about Privacy
https://www.youtube.com/watch?v=wS8QfsyrLKo

Kathrin Passig: Das Internet jenseits üblicher Projektionen
https://www.youtube.com/watch?v=NCB_OalbLH4

Henning Kagermann: Die digitale Gesellschaft
https://www.youtube.com/watch?v=2N5jnYxqG_k


Jede pro Woche neu beim Stifterverband:
Die Zukunftsmacher und ihre Visionen für
Bildung und Ausbildung, Forschung und Technik.

Interview: Corina Niebuhr
für den Bildungskanal des Stifterverbandes
http://www.stifterverband.info/

Blended Learning combines the best of personalized online learning with face-to-face onsite support and hands-on application. Through the flex and rotational models, students are given some control over the time, place, path and pace. Part two in a five part DLN Smart Series video collection.

Learn German phrases, With Sleep Learning. Easily learn 100 phrases using advanced binaural beats specifically meant for sleep learning. Learn German language for beginners or any level.

To use, simply listen to this video with headphones on, Just before you are going to sleep, whilst you are awake repeat the German phrases in your head, and remain focussed on these words and meanings as you drift slowly off to sleep. Your subconscious mind will then do the rest. The brain does have the ability to absorb information whilst your 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.

★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 words and meanings out loud if possible
- Visualise the German words and phrases in your head.
- Leave on as you fall asleep
- Repeat the words you remember throughout your day
- Do this for 30 days to see massive results

★Video Description★:

This German phrases video is specifically designed to help you learn new German words and phrases as you are falling asleep and remember them when you wake up. It’s suitable for anyone wanting to learn German , from beginners through to people wanting to recap on what they already know. 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 awoke 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★:

- 100 Key German Phrases:
We have used 100 German phrases in this video, the sole purpose of these phrases is to give you just about enough of a vocabulary to be able to have a very basic conversation but more importantly survive if travelling. The phrases are best suited for a traveller or tourist simply looking to be able to ask for basic things and find important places whilst in Germany. The English phrase or word is said once then the German translation repeated three times.

- 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 words 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.

- 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 world is filled with things that most of us are able to understand and react to without much thought… a stop sign partially covered by snow is still a stop sign… a chair that’s five times bigger than usual, is still a place to sit. But for computers, the world is often messy and complicated. Google engineers and researchers discuss how machine learning is beginning to make computers, and many of the things we use them for (maps, search, recommending videos, translations), better. http://www.tensorflow.org

Google engineers and researcher (in order of appearance): Blaise Aguera Y Arcas, Greg Corrado, John Giannandrea, Peter Norvig, Jeff Dean, Geoffrey Hinton, Anna Patterson.

More on Machine Learning at Google :
Blog: http://research.google.com/pub....s/ArtificialIntellig
G+ page: https://plus.google.com/+ResearchatGoogle
Twitter: https://twitter.com/googleresearch
Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18

For the past 2 years we have experimented with a new format - Created communication and dialogue tools by drawing - AND filming. With over 25 client and project videos out, we are now proud to present our two latest videos. They aim at explaining our own field: Visual Thinking and Graphic Facilitation.

They are short introductions to different aspects of our methodology.

the first video explains 7 basic elements on how you can learn to draw almost anything when working with people.

The second video show what tools we suggest you bring along when facilitating graphically.

Stay tuned for more.

During a hearing Monday before testimony began in the first day of Amber Guyger's murder trial, state District Judge Tammy Kemp was visibly upset to learn that Dallas County District Attorney John Creuzot had taken part in an interview about the case on TV the night before.

Guyger's defense attorneys questioned whether Creuzot violated a gag order by discussing the case in an interview with KDFW-TV (Channel 4). The gag order prevents prosecutors and the defense from speaking publicly about the case.

Read more - https://www.dallasnews.com/new....s/courts/2019/09/23/

Subscribe:
https://www.youtube.com/user/t....dmnvid?sub_confirmat

Watch more videos like this
https://www.youtube.com/user/tdmnvid

Learn More:
Website: http://www.dallasnews.com/
Twitter: https://twitter.com/search?q=the%20dallas%20morning%20news&src=tyah
Facebook: https://www.facebook.com/dalla....smorningnews/?ref=ay

Go to http://www.knewton.com to learn how Knewton's Adaptive Learning Platform brings personalized learning to students worldwide, every day.

Ерошина Анастасия

Young chimps learn how to use tools from watching and imitating others.

Visit our website at http://www.janegoodall.org/

Join Gecko in Gecko's Real Vehicles with this awesome educational compilation of all your favourite emergency vehicles!

Love Toddler Fun Learning and Gecko's Garage? You can watch all of our videos over on our app. Watch ad free and download for offline viewing. Click here to download http://apple.co/2t5dDla

Like us on Facebook http://www.facebook.com/toddlerfunlearning

Visit us at http://www.toddlerfunlearning.com

Toddler Fun Learning makes fun, free and educational videos, nursery rhymes, stories and songs for toddlers all over the world.

Making of Hustlers: Conquering the Pole
How I learned to pole dance for Hustlers

We were born to flex. #HustlersMovie

Starring Jennifer Lopez, Constance Wu, Julia Stiles, Keke Palmer, Lili Reinhart, Lizzo and Cardi B.

Hustlers follows a crew of savvy former strip club employees who band together to turn the tables on their Wall Street clients. The film was inspired by the article published by New York Magazine entitled “The Hustlers at Scores” written by Jessica Pressler.

Coming Soon to Theaters
SUBSCRIBE: http://stxent.co/Subscribe

Connect with Hustlers Online:
FACEBOOK: www.facebook.com/HustlersMovie
TWITTER: www.twitter.com/HustlersMovie
INSTAGRAM: www.instagram.com/HustlersMovie
#HustlersMovie

Watch more Original Content from JLO ▶ https://www.youtube.com/Jennifer Lopez

Follow JLO:
Twitter: https://twitter.com/jlo
Instagram: https://www.instagram.com/jlo/
Facebook: https://www.facebook.com/jenniferlopez/
Soundcloud: https://soundcloud.com/jenniferlopez
Spotify: https://lnk.to/JLOSpotify

With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just what they are and how they work. Soon you'll understand why they are such a powerful tool!

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

Deep Learning is primarily about neural networks, where a network is an interconnected web of nodes and edges. Neural nets were designed to perform complex tasks, such as the task of placing objects into categories based on a few attributes. This process, known as classification, is the focus of our series.

Classification involves taking a set of objects and some data features that describe them, and placing them into categories. This is done by a classifier which takes the data features as input and assigns a value (typically between 0 and 1) to each object; this is called firing or activation; a high score means one class and a low score means another. There are many different types of classifiers such as Logistic Regression, Support Vector Machine (SVM), and Naïve Bayes. If you have used any of these tools before, which one is your favorite? Please comment.

Neural nets are highly structured networks, and have three kinds of layers - an input, an output, and so called hidden layers, which refer to any layers between the input and the output layers. Each node (also called a neuron) in the hidden and output layers has a classifier. The input neurons first receive the data features of the object. After processing the data, they send their output to the first hidden layer. The hidden layer processes this output and sends the results to the next hidden layer. This continues until the data reaches the final output layer, where the output value determines the object's classification. This entire process is known as Forward Propagation, or Forward prop. The scores at the output layer determine which class a set of inputs belongs to.

Links:
Michael Nielsen's book - http://neuralnetworksanddeeplearning.com/
Andrew Ng Machine Learning - https://www.coursera.org/learn/machine-learning
Andrew Ng Deep Learning - https://www.coursera.org/speci....alizations/deep-lear

Have you worked with neural nets before? If not, is this clear so far? Please comment.
Neural nets are sometimes called a Multilayer Perceptron or MLP. This is a little confusing since the perceptron refers to one of the original neural networks, which had limited activation capabilities. However, the term has stuck - your typical vanilla neural net is referred to as an MLP.

Before a neuron fires its output to the next neuron in the network, it must first process the input. To do so, it performs a basic calculation with the input and two other numbers, referred to as the weight and the bias. These two numbers are changed as the neural network is trained on a set of test samples. If the accuracy is low, the weight and bias numbers are tweaked slightly until the accuracy slowly improves. Once the neural network is properly trained, its accuracy can be as high as 95%.


Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Developers, start your engines! This virtual workshop will provide developers of all skill levels an opportunity to get hands-on with AWS DeepRacer. Learn about the basics of machine learning and reinforcement learning (a machine learning technique, ideal for autonomous driving). During the workshop, you will build a reinforcement learning model and submit that model to the AWS DeepRacer League for a chance to win a trip to re:Invent 2019.

Learning Objectives:
- Learn the basics of machine learning
- Build a reinforcement learning model
- Learn how to get started with AWS DeepRacer and participate in the league

Best Toy Food Learning Video With Baby Shimmer's High Chair Shimmer and Shine with Toy Genie. This is the best toy food learning video. What did baby Shimmer eat? Learn fruits, vegetables, and desserts using Shopkins.

Aprender alimentos en inglés video para niños pequeños y preescolar. Comidas, frutas, y vegetales.

Subscribe Here: http://www.youtube.com/subscri....ption_center?add_use


Here are some links to my other videos that you may like:

Best Learning Video Colors and Numbers Shrek Eats Too Much Candy Rotten Teeth: https://youtu.be/BnRiQDDNqdk

LEARN COLORS Shrek Eats Gumballs Brush Teeth: https://youtu.be/DrCP6BnurTw

Gumball Banks LEARN Colors and Numbers with Gumballs: https://youtu.be/ydfqEG8uXO0

Here are more of my videos in playlists:

Mickey Mouse Club House Friends and Disney Tsum Tsum Playlist: https://www.youtube.com/watch?v=H-dN4zNFmaM&list=PL8yauLj_sBJCRdwghIqXPNosIriV7WPjH

Disney Princess and Disney Toys Playlist: https://www.youtube.com/watch?v=LUquV7eqQak&list=PL8yauLj_sBJBReHXHVFlmtlRt_Ba1lCUl

My Little Pony Surprises, Playsets, and Dolls Playlist: https://www.youtube.com/watch?v=yMFEc1P7_OM&list=PL8yauLj_sBJDqN2e0kB3AHJS9EpaD16fI

Best Learning Video ABC123 Colors and Numbers Kids Preschool Learn With Toys and Play Doh Playlist: https://www.youtube.com/watch?v=nqYEXjvQMNg&list=PL8yauLj_sBJCKxWXXyG11aD5VpIqn8Jbv

Paw Patrol Surprises with Play Doh and Learning Playlist: https://www.youtube.com/watch?v=nqYEXjvQMNg&list=PL8yauLj_sBJC94Mr-kxqznpPSUP12-9DW

Blind Bags, Blind Baskets, Mystery Boxes, Surprise Eggs Playlist: https://www.youtube.com/watch?v=hiAH0iLOJq4&list=PL8yauLj_sBJAzX_EqBbiphR-mzobRgBCO

Fashems and Mashems Playlist: https://www.youtube.com/watch?v=tedYS4WATGE&list=PL8yauLj_sBJA7pYu8JQY8UZ7E3ZaJggDq


Please share this video of Best Toy Food Learning Video With Baby Shimmer's High Chair Shimmer and Shine: https://youtu.be/X0LZpPTqv9c

Music: YouTube

Thank you for watching my videos,

Toy Genie Surprises

Please support my channel by liking, subscribing, and sharing my videos. :)

Learning How to Act Normal - Hildur Guðnadóttir (From: Joker)
Avail Now: https://lnk.to/jokerID

#Joker #HildurGuðnadóttir #JokerMovie

Tracklisting
1. Hoyt's Office
2. Defeated Clown
3. Following Sophie
4. Penny in the Hospital
5. Young Penny
6. Meeting Bruce Wayne
7. Hiding in the Fridge
8. A Bad Comedian
9. Arthur Comes to Sophie
10. Looking for Answers
11. Penny Taken to the Hospital
12. Subway
13. Bathroom Dance
14. Learning How to Act Normal
15. Confession
16. Escape from the Train
17. Call Me Joker

Follow Us:
Facebook: https://www.facebook.com/WaterTowerMusic/
Twitter: https://twitter.com/watertowermusic
Instagram: https://www.instagram.com/watertowermusic/

After devoting himself to learning a new skill every single week for 52 weeks, Stephen shares invaluable advice to learning anything. In this comedic talk, Stephen explores how we can motivate ourselves to pursue our ambitions and ultimately, follow through on our commitments.


A native to Edmonton, Stephen is currently pursuing a degree in psychology from the University of Alberta. In addition to his studies, Stephen has led a variety of entrepreneurial ventures and passion projects to learn from direct experience. 52skillz is a project where he commits himself to learning a new skill every week of the year, for an entire year. The goal of the project is to inspire individuals of all ages to take action in learning and developing new skills in an entertaining and humour filled way.

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

Yann LeCun
Director of AI Research at Facebook, Professor of Computer Science, New York University

November 18, 2016

Abstract
The rapid progress of AI in the last few years are largely the result of advances in deep learning and neural nets, combined with the availability of large datasets and fast GPUs. We now have systems that can recognize images with an accuracy that rivals that of humans. This will lead to revolutions in several domains such as autonomous transportation and medical image understanding. But all of these systems currently use supervised learning in which the machine is trained with inputs labeled by humans. The challenge of the next several years is to let machines learn from raw, unlabeled data, such as video or text. This is known as unsupervised learning. AI systems today do not possess "common sense", which humans and animals acquire by observing the world, acting in it, and understanding the physical constraints of it. Some of us see unsupervised learning as the key towards machines with common sense. Approaches to unsupervised learning will be reviewed. This presentation assumes some familiarity with the basic concepts of deep learning.


Speaker Biography
Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department. He received the Electrical Engineer Diploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty. His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition. LeCun has been on the editorial board of IJCV, IEEE PAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics, and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural Network Pioneer Award.

This new, drag-and-drop workflow capability in Azure Machine Learning service simplifies the process of building, testing, and deploying machine learning models for customers who prefer a visual experience to a coding experience. This new capability brings the familiarity of what we already provide in our popular Azure Machine Learning Studio with significant improvements to ease the user experience.

Get started:
Try our Quickstart: https://docs.microsoft.com/en-....us/azure/machine-lea
Or try a tutorial: https://docs.microsoft.com/en-....us/azure/machine-lea