Learning organizations are ready for anything. They're effective, efficient, responsive and committed to continuous quality improvement. Find out how they do it.

Has anyone ever told you that you need to have a clear goal in order to achieve something or get better? According to Process learning, the opposite is true. The best surfers are not those that train to win a prize, but those that play with the waves every day because they love it. Process Learning argues that to get better at something, focus on the process of learning and not the outcome, the product.

Support our channel with a small donation at http://www.patreon.com/sprouts

Find the whole script here: https://docs.google.com/docume....nt/d/1FWWVEf0hU0btYL

What is Machine Learning?
Traditional programming requires human to define set of instructions
which requires a tons of code and leave a plenty of room for error.
With machine learning, we just need data, a tons of data to be precise.
Lucky for us, thanks to internet and smartphones, we have a tons of data.
In machine learning, instead of following hard coded instructions, a program can learn from data or adapt its behavior according to experience.

We can divide Machine Learning into three broad categories.
Supervised learning, Unsupervised learning and Reinforcement learning.

Please Like and Subscribe for more weekly videos!

Follow me on Twitter: https://twitter.com/thecompscirocks
Follow me on Instagram: https://www.instagram.com/thecompscirocks/
Follow me on Facebook: https://www.facebook.com/thecompscirocks/

Some sources & further reading:
https://www.mathworks.com/solu....tions/machine-learni
http://www.r2d3.us/visual-intr....o-to-machine-learnin
https://en.wikipedia.org/wiki/Machine_learning
https://en.wikipedia.org/wiki/Supervised_learning
https://en.wikipedia.org/wiki/....Unsupervised_learnin
https://en.wikipedia.org/wiki/Cluster_analysis
https://en.wikipedia.org/wiki/....Reinforcement_learni

Professor Daniel Willingham describes research showing that learning styles are a myth.
Added closed captions!
For more info, see this link: http://www.danielwillingham.co....m/learning-styles-fa

A brief overview of 4 learning theories:
Behaviourism
Constructivism
Social Constructivism
Connectivism

Неожиданный результат после сборки tazoyota.
Сварил кастомные регулируемые рычаги.
Мой инст @bratkoivan
вк https://vk.com/id2438877

INSTAGRAM MotohunterZ
https://www.instagram.com/motohunterz/
Džeka Riepas
http://dzekariepas.lv
Riga Customs
https://www.rigacustoms.lv
28479298
АНИСИЯ
https://www.youtube.com/channe....l/UCdzlLmm2n11x_8Bnn
Слепинки ТОП БЛОГЕР
https://www.instagram.com/slepenky/
Мастер по Жигам
28203016

МЕРЧ ЗДЕСЬ(наклейки,худи,футболки,кепки)
https://www.yourmerch.org

Cooperative Learning Demo

I spent a week watching German Netflix so you don't have to. Here are my top eight TV shows to binge on if you are learning German!

I would love to make another one of these about German films. Got an idea for one I should feature? Let me know in the comments!

---
More from me
https://www.instagram.com/tomcrewther/
https://twitter.com/tomcrewther

---
My Kit (for camera nerds)

Big camera - http://amzn.to/2HxOSW3
Little camera - http://amzn.to/2o9YxKv
24mm lens - http://amzn.to/2ocXt8O
50mm lens - http://amzn.to/2HwX0WH
Microphone - http://amzn.to/2FfJo1l
Big tripod - http://amzn.to/2HwXSKX
Little tripod - http://amzn.to/2FeSGe0
Tiny tripod - http://amzn.to/2HvbvdL
Phone stabiliser - http://amzn.to/2obUeOy
Drone - http://amzn.to/2HuL4F9

Cambridge mathematical reading list: https://www.maths.cam.ac.uk/si....tes/www.maths.cam.ac

GENERAL
Flatland – Edwin Abbott
Fermat's last theorem – Simon Singh
A Mathematician’s Apology - G.H. Hardy

CALCULUS
Early transcendentals – James Stewart
Calculus – Michael Spivak

LINEAR ALGEBRA
Elementary Linear Algebra – Howard Anton

DIFFERENTIAL EQUATIONS:
Partial Differential Equations an introduction – Walter Strauss
James Nearing, Mathematical Tools for Physics: http://www.physics.miami.edu/~nearing/mathmethods/

COMPLEX ANALYSIS:
Visual complex analysis – Tristian Needham

OTHER
Principles of mathematical analysis – Walter Rudin
Analysis I – Terence Tao
Algebraic topology – Allen Hatcher
Mathematical methods in the physical sciences – Mary Boas
Abstract algebra – Dummit and Foote
Discrete math and applications – Kenneth Rosen
How to think like a mathematician - Houston

This video is not sponsored but I recommend learning concepts on Brilliant who have sponsored other videos of mine https://brilliant.org/tibees

See also the John Baez page for leaning math: http://math.ucr.edu/home/baez/books.html#math

Please subscribe ❤ https://www.youtube.com/user/tibees?s...

Twitter: https://twitter.com/TobyHendy
Instagram: https://www.instagram.com/tibees_/

View full lesson: http://ed.ted.com/lessons/lear....ning-from-smallpox-h

For most of human history, we have sought to treat and cure diseases. But only in recent decades did it become possible to ensure that a particular disease never threatens humanity again. Julie Garon and Walter A. Orenstein detail how the story of smallpox – the first and only disease to be permanently eliminated – shows how disease eradication can happen, and why it is so difficult to achieve.

Lesson by Julie Garon and Walter A. Orenstein, animation by TOGETHER.

This video discusses the need for 21st Century Learning and proposes the use of Inquiry-Based Learning as a suitable pedagogy.

It was created for the Inspiring Science Education Project as part of a series of videos to promote the use of Inquiry-Based Learning.

http://inspiringscience.eu

The idea of learning styles is widespread throughout the field of pedagogy and people are often categorized according to their learning style. However, in scientific research, there has been no credible evidence that supports the existence of learning styles. This video defines learning styles theory, talks about some previous research in the field of pedagogy and explains why there is no true basis behind the idea of learning styles. In addition, Dr. Joseph Kim, an associate professor of psychology, neuroscience and behaviour at McMaster University, speaks about the non-existence of learning styles.

This video was created by fourth year McMaster students interested in education and knowledge translation: Dana Abu-Jazar, Ana Kovacevic, Amber Kayed, Jasleen Khaira, Babak Nouhi, Simranpal Dhanju, Ria Oommen, and Nisha Gajaria.

Copyright McMaster University 2014

References:

Kratzig, Gregory, and Katherine Arbuthnott. "Perceptual Learning Style and Learning Proficiency: A Test of the Hypothesis." Journal of Educational Psychology (2006).

Salomon, Gavriel. "Television Is "easy" and Print Is "tough": The Differential Investment of Mental Effort in Learning as a Function of Perceptions and Attributions." Journal of Educational Psychology 76.4 (1984).

21st Century Learning Enviroments

Please Subscribes My Channel about SPORTS: https://www.youtube.com/channe....l/UCc6wA_iu7whaqD9uY Thanks for watching! Share and Subscribes.

Learning comes from experience, that's a fact. But what kind of experience makes you want to learn and helps you achieve your goals? And how do you design such an experience?

That's wat Learning Experience Design is about!

But what is it exactly? Here's the definition of Niels Floor, director of Shapers:

"Learning Experience Design (LX design) is the process of creating learning experiences that enable the learner to achieve the desired learning outcome in a human centered and goal oriented way." - Niels Floor

That's a lot to take in, so this video breaks the definition down into 3 parts:

- Experience: What you create is an experience.
- Design: LX design is a design discipline.
- Learning: The experience that you design serves a clear purpose, learning!

And there you have it. This is Learning Experience Design.

Want to know more about Learning Experience Design?
Check out www.learningexperiencedesign.com

Or do you need some help with your LX design?
Shapers would love to help out. Check www.shapers.eu

Matthew Peterson, CEO of MIND Research Institute, speaks at TEDx Orange Coast, explaining how words are great barriers to learning for a majority of students. His own struggles with dyslexia and inspiration from Albert Einstein led him to ask the question: can we teach math without words?

MIND Research Institute has created a visual approach to learning and teaching math with its ST Math Software. Through visual math games that are interactive with visual feedback, students learn math with amazing results. ST Math software utilizes years of neuroscience research that teaches kids how to excel in math problem solving utilizing the students spatial temporal reasoning abilities in a language independent visually driven software platform.

Matthew's cutting-edge teaching methods are currently benefiting over 1,200,000 students in 3,200 schools across the United States.

Learn more and play ST Math: https://www.stmath.com/

-----------

About MIND:
MIND Research Institute is a social benefit organization dedicated to ensuring that all students are mathematically equipped to solve the world's most challenging problems.

Learn more about MIND Research Institute: http://www.mindresearch.org

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

Join the learning community on social media!
MIND Twitter: https://twitter.com/mind_research
ST Math Twitter: https://twitter.com/jijimath
Facebook: https://www.facebook.com/JiJiMath/
Pinterest: https://www.pinterest.com/jijimath/
LinkedIn: https://www.linkedin.com/compa....ny/mind-research-ins

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on linear regression, gradient descent, and normal equations and discusses how they relate to machine learning.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CCS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Produced by the Royal Society, more info can be found at https://royalsociety.org/topic....s-policy/projects/ma

Brian Edward Cox is physicist who serves as professor of particle physics in the School of Physics and Astronomy at the University of Manchester. He is best known to the public as the presenter of science programmes, especially the Wonders of... series and for popular science books, such as Why Does E=mc²? and The Quantum Universe. He has been the author or co-author of over 950 scientific publications.

Recorded: February 2017

In this poignant, funny follow-up to his fabled 2006 talk, Sir Ken Robinson makes the case for a radical shift from standardized schools to personalized learning -- creating conditions where kids' natural talents can flourish.

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. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate.

Follow us on Twitter
http://www.twitter.com/tednews

Checkout our Facebook page for TED exclusives
https://www.facebook.com/TED

Listen to podcast version here: https://goo.gl/pBtTm0 - Good Life Project founder, Jonathan Fields, interviews The First 20 Hours author, Josh Kaufman about accelerated learning and getting good at any skill in 20 hours.

If you'd prefer to listen to this and the entire library of Good Life Project as a podcast, just go to http://bit.do/goodlife to subscribe at iTunes.

Source - http://serious-science.org/videos/1136

Harvard University Prof. Eric Mazur on difficulties of beginners, teaching each other, and making sense of information