3:30 Deep Learning: Machine Learning via Large-scale Brain Simulations

51:03 Q&A

Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/3bhmLce

Andrew Ng
Adjunct Professor of Computer Science
https://www.andrewng.org/

To follow along with the course schedule and syllabus, visit:
http://cs229.stanford.edu/syllabus-autumn2018.html

To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit:
http://learn.stanford.edu/AI.html

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

How is a total beginner supposed to get started learning machine learning? I’m going to describe a 3 month curriculum to help you go from beginner to well-versed in machine learning. Its an accelerated learning plan, something i’d create for myself if I were to get started today, but I’m going to open source it for you guys. This curriculum will cover all the math concepts, the machine learning theory, and the deep learning theory to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video!

Curriculum from this video:
https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months

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Month 1

Week 1 Linear Algebra
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
Week 2 Calculus
https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
Week 3
https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2
Week 4 Algorithms
https://www.coursera.org/courses?languages=en&query=Algorithm%20design%20and%20analysis

Month 2

Week 1
learn python for data science
https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU
Math of Intelligence
https://www.youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
Intro to Tensorflow
https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV

Week 2
Intro to ML (Udacity)
https://eu.udacity.com/course/intro-to-machine-learning–ud120

Week 3-4
ML Project Ideas
https://github.com/NirantK/awesome-project-ideas

Month 3 (Deep Learning)

Week 1
Intro to Deep Learning
https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3

Week 2
Deep Learning by Fast.AI
http://course.fast.ai/

Week 3-4
Re-implement DL projects from my github
https://github.com/llSourcell?tab=repositories

ML people to follow on Twitter:
https://www.quora.com/Who-should-I-follow-on-Twitter-to-get-useful-and-reliable-machine-learning-information

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As machine learning systems enter the open world, their accountability becomes a high priority problem. Accountability requires deep understanding of system behavior and its failures. Characterization of failures and shortcomings is particularly complex for systems composed of multiple machine learned components. In this talk, I will discuss our work on troubleshooting and in-depth failure analysis for such systems. First, I will present a methodology for applying counterfactual analysis with humans in the loop for the purpose of understanding which component fixes are the most effective ones for a given system architecture. Second, I will describe the functionalities and tools that we have built for detailed system performance analysis and prediction. Both works will be illustrated via a real-world case study example of a machine learning pipeline for image captioning.

👉Know what is corona, what is machine learning,how machine learning technology can be used to fight corona, corona virus predictions and lot more.
#fightingcovid19withmachinelearning #covid19 #covid19outbreakprediction #machinelearning #covid19technology

🔥🔥Intellipaat Machine Learning course: https://www.youtube.com/watch?v=4gqZLajDWh8

#fightingcovid19withmachinelearning #covid19 #covid19outbreakprediction #machinelearning #covid19technology

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

🔗 Watch Machine Learning video tutorials here: https://intellipaat.com/blog/tutorial/machine-learning-tutorial/

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⭐ Get Machine Learning cheat sheet here: https://intellipaat.com/blog/tutorial/machine-learning-tutorial/mllib-cheat-sheet/

Interested to learn machine learning still more? Please check similar machine learning blog here: https://intellipaat.com/blog/tutorial/machine-learning-tutorial/

Are you looking for something more? Enroll in our machine learning full course and become a certified professional (https://intellipaat.com/machine-learning-certification-training-course/). It is a 32 hrs instructor led machine learning training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this machine learning video, Like us and Subscribe to our channel for more similar machine learning videos and free tutorials.
Got any questions about machine learning? Ask us in the comment section below.
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——————————
Why should you watch this machine learning video?

Machine learning is one of the fastest growing arms of the domain of artificial intelligence. It has far reaching consequences and in the next couple of years we will be seeing every industry deploying the principles of artificial intelligence, machine learning and deep learning technologies at scale.

Why machine learning is important?

Machine learning might just be one of the most important fields of science that we are just moving towards. It differs from other science in the sense that this is one of the one domains where the input and output are not directly correlated and neither do we provide the input for every task that the machine will perform. It is more about mimicking how humans think and solving real world problems like humans without actually the intervention of humans. It focuses on developing computer programs that can be taught to grown and change when exposed to data.
——————————
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Please write us to sales@intellipaat.com, or call us at: +91- 7847955955

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Neal Jean, Michael Xie, Stefano Ermon, Matt Davis, Marshall Burke, David Lobell
“Combining satellite imagery and machine learning to predict poverty”
Stanford University Depts of Computer Science and Earth Systems Science
CompSust-2016
4th International Conference on
Computational Sustainability
July 7, 2016
3:30 PM, Machine and Statistical Learning for Conservation, Poverty, Energy, and Climate
http://www.compsust.net/compsust-2016/program.php

In this tutorial, you will learn how to create a Machine Learning Linear Regression Model using Python. You will be analyzing a house price predication dataset for finding out the price of a house on different parameters. You will do Exploratory Data Analysis, split the training and testing data, Model Evaluation and Predictions.

Blog and Dataset – https://studygyaan.com/data-science-ml/linear-regression-machine-learning-project-for-house-price-prediction

Coronavirus (Covid-19) has become the most buzzed topic these days. Its outbreak has taken the world by storm. In this video, we’ll see what Coronavirus is, how did it emerge, and what are its symptoms. Then, we will see what has been its impact so far and analyze the outbreak of Coronavirus across various regions, visualize them using charts and graphs, and predict the number of upcoming confirmed cases using the Linear Regression model in Python. Finally, we’ll look at the various safety measures that you can take to save yourself from getting attacked by Coronavirus.

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

To access the slides, click here: https://www.slideshare.net/Simplilearn/coronavirus-outbreak-prediction-using-machine-learning-covid19-outbreak-prediction-simplilearn/Simplilearn/coronavirus-outbreak-prediction-using-machine-learning-covid19-outbreak-prediction-simplilearn

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://www.simplilearn.com/machine-learning-career-guide-pdf?utm_campaign=Coronavirus-outbreak-prediction-sHWKN5dakPw&utm_medium=Tutorials&utm_source=youtube

You can also go through the Slides here: https://goo.gl/m5Txob

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearning #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Machine-Learning-Tutorial-DWsJc1xnOZo&utm_medium=Tutorials&utm_source=youtube

About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.

We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Coronavirus-outbreak-prediction-sHWKN5dakPw&utm_medium=Tutorials&utm_source=youtube

For more updates on courses and tips follow us on:
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We invest heavily in machine learning to continually improve our member experience and optimize the Netflix service end-to-end. As researchers, we innovate using machine learning in many areas where we research, design, implement, evaluate, and productionalize models and algorithms through both offline experiments and online A/B testing.

Cloud Tensor Processing Units (TPUs ) enable machine learning engineers and researchers to accelerate TensorFlow workloads with Google-designed supercomputers on Google Cloud Platform. This talk will include the latest Cloud TPU performance numbers and survey the many different ways you can use a Cloud TPU today – for image classification, object detection, machine translation, language modeling, sentiment analysis, speech recognition, and more. You’ll also get a sneak peak at the road ahead.

Rate this session by signing-in on the I/O website here → https://goo.gl/5HcnkN

Watch more GCP sessions from I/O ’18 here → https://goo.gl/qw2mR1
See all the sessions from Google I/O ’18 here → https://goo.gl/q1Tr8x

Subscribe to the Google Cloud Platform channel → https://goo.gl/S0AS51

#io18 #GoogleIO #GoogleIO2018

Is it possible to use machine learning without needing to code? The answer is yes! Uber’s AI lab recently open sourced python library called Ludwig that they’ve been using internally for 2 years. The tagline is that it allows anyone to use deep learning without coding. It will require some configuration and unix commands to setup, but I’ll show you how in this video. I’ll also talk about other code-free tools like Azure ML Studio, DataRobot, and DeepCognition. Enjoy!

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

Please Subscribe! And Like. And comment. Thats what keeps me going.

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More learning resources:
https://uber.github.io/ludwig/
https://azure.microsoft.com/en-us/services/machine-learning-studio/
https://www.datarobot.com/
https://deepcognition.ai/

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

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#MachineLearning #SirajRaval

Guillaume Laforge in conversation with Google’s Senior Fellow Jeff Dean for Devoxx BE 2016.

Artificial Intelligence in Hindi | Free Course by Google | Machine Learning | Career, Scope

Google Free Course – https://ai.google/education/

EDUCATIONAL VIDEOS [हिंदी में ]
►Countries where Education is free for Indians | दुनिया के ऐसे देश जहां Education फ्री है✔https://www.youtube.com/watch?v=qDNG6H5qRA0&t=2s
► Right Attitude Motivation For Students | Power of Positive thinking in hindi ✔ https://www.youtube.com/watch?v=cmVvZb6b5VE
► What is Investment Banking in HINDI || Investment Banker ? ✔ https://www.youtube.com/watch?v=tMYVaPFG4Kw
► Fastest and Easiest Way to Learn English || ENGLISH Sikhne ka Aasan tarika ✔ https://www.youtube.com/watch?v=GF5OHAZcW0k
► How to Get Education LOAN in INDIA 2017 ✔ https://www.youtube.com/watch?v=DoluUHBZ1zw.
► MBA INDIA VS MBA ABROAD – WHICH IS BEST ? ✔ https://www.youtube.com/watch?v=ufgd8pkvtjE
► Highest Paying Jobs in India 2017✔ https://www.youtube.com/watch?v=zAa0w1eufLs

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Peter Norvig, Research Director at Google, in conversation with Toby Walsh, UNSW Scientia Professor of Artificial Intelligence.

Subscribe to AboutUNSW if you are a current or prospective student https://www.youtube.com/user/UNSWCommunity

About UNSW is the place to explore what’s on offer at UNSW Sydney (the University of New South Wales), a powerhouse of cutting-edge research and teaching in the Asia-Pacific based in Sydney.

For more information: www.unsw.edu.au
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Twitter @unsw

This presentation took place at the RE•WORK Deep Learning Summit in San Francisco on 28-29 January 2016: https://re-work.co/events/deep-learning-sanfran-2016

Multimodal Question Answering for Language and Vision

Deep Learning has made tremendous breakthroughs possible in visual understanding and speech recognition. Ostensibly, this is not the case in natural language processing (NLP) and higher level reasoning. However, it only appears that way because there are so many different tasks in NLP and no single one of them, by itself, captures the complexity of language. I will talk about dynamic memory networks for question answering. This model architecture and task combination can solve a wide variety of visual and NLP problems, including those that require reasoning.

Richard Socher is the CEO and founder of MetaMind, a startup that seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision.

He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 “Magic Grant” from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.

In this episode: Learning LETTERS with TuTiTu’!
Teaching Toddlers the ABC in a Fun and memorable way!

TuTiTu Preschool is a series for children making their first steps into numbers, letters, shapes, colors, and more. Each episode will teach your toddler one of the basic building blocks of knowledge using vivid colors, fun and engaging animation and exciting music!

Facebook – https://www.facebook.com/TuTiTuTV
Pinterest – http://www.pinterest.com/tutitutv
Twitter – https://twitter.com/TuTiTuTV

Production & Animation: Twist Animation Ltd.
Production Designers: Tal Gamliel, Yossi Dahan
TuTiTu’S Theme Song: Lyrics: Sarit Ido Schechter, Music: Sarit Ido Schechter and Tal Gamliel,
Musical Arrangement: Uri Kariv
Vocals: Yael Shoshana Cohen
Sound engineering: Gil Landau

Category: Preschool

MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
January 2020

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00 – Introduction
4:14 – Course information
8:10 – Why deep learning?
11:01 – The perceptron
13:07 – Activation functions
15:32 – Perceptron example
18:54 – From perceptrons to neural networks
25:23 – Applying neural networks
28:16 – Loss functions
31:14 – Training and gradient descent
35:13 – Backpropagation
39:25 – Setting the learning rate
43:43 – Batched gradient descent
46:46 – Regularization: dropout and early stopping
51:58 – Summary

Subscribe to @stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

Meet Lisa Steiner, a marine biologist who has spent her life and career trying to better understand sperm whales—and as a self-described “technophobe”—as she embraces machine learning models created by CapGemini. In the middle of the Atlantic Ocean, technology is helping Lisa do what she loves: understand more about these massive marine mammals so that they stand a better chance at survival.

The Big Idea is a short documentary series that seeks out people who look at the world differently—as they experiment with novel approaches to reinventing industries and lives, not the least of which are their own. There’s a whole world out there that’s ready to be reshaped. All it takes is one big idea.

Learn more:
Building a winning solution – using AI to help identify and track whale population – https://bit.ly/3tSdW2j
Using AI to protect whales – http://bit.ly/3tuZih4

Subscribe:
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#AWS #MachineLearning #TheBigIdea

Don’t forget to turn on the subtitles

Rebecca Winthrop, co-director of the Center for Universal Education at The Brookings Institution, and Emilia Ahvenjärvi, Science and Education Attaché at the Embassy of Finland in Buenos Aires talk about risks and opportunities in education.

enlightED is the great world conference on education, innovation and technology, which dedicated its third edition to reflecting, with the help of international experts, on the challenges that the Covid-19 has posed to learning and work, and to proposing solutions. Organised by Fundación Telefónica, IE University, Fundación Santillana and South Summit.

Find out more at: enlighted.education

The future will see artificial intelligent systems
acting in the same environment as humans,
in areas as diverse as driving, assistive technology, and health care. In this scenario, both machines and decision making systems should follow some form of moral values and ethical principles, appropriate to where they will act but always aligned to humans.

Computer Scientist, Professor of Computer Science at the University of Padua, FRANCESCA ROSSI has spent her sabbatical year at the Radcliffe Institute for Advanced Study at Harvard University. She specialized in Artificial Intelligence, and in particular, in the use of preferences to customize decision support systems.
Francesca has published more than 170 scientific papers on these issues and on ethical issues which are unavoidable in the development of Artificial Intelligence. Francesca presides some of the most prestigious institutions in the field of AI.

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

Launchpad Accelerator Engineer Bootcamp 2018 → http://bit.ly/2G1w5py

Peter Norvig is a Director of Research at Google; previously he directed Google’s core search
algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading
textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000
students, helping to kick off the current round of massive open online classes. Peter is a Fellow of
AAAI, ACM, the California Academy of Science and the American Academy of Arts & Sciences.

About Launchpad Accelerator:
Launchpad Accelerator is an acceleration program for the world’s top startups. Founders work closely with Google and Alphabet product teams and experts to solve specific technical challenges and optimize their businesses for growth with machine learning. Accelerator Startups are selected to be a part of the four month product acceleration program. Each startup is paired with a Google product manager to accelerate their product development, working alongside Google’s ML research and development teams. Learn more at → https://goo.gl/qFTrKD

About Accelerator’s Engineering Bootcamp:
Accelerator’s Engineering Bootcamp brings together each startup’s project team for a four-day event in San Francisco to learn best practices in experimenting, building, and implementing advanced tech within their startup. The teams are composed of Founders and VPs along with developers, data scientists, and product managers.

Watch more in this playlist → http://bit.ly/2G1w5py
Subscribe to Launchpad to learn all about startups → http://bit.ly/Launchpad9

AWS provides a number of different machine learning products (https://amzn.to/2IbHEb3) that you or your business can leverage. Learn about the three layers of the machine learning stack. Experts who are comfortable building and training their own machine learning models can take advantage of AWS’s Framework & Interfaces layer. Developers and data scientists can leverage AWS’s ML Platforms layer using Amazon SageMaker to build, train, and deploy machine learning models without having specialized expertise in ML or having to think about the infrastructure like you would at the Framework & Interface layer. Developers who want to make calls to APIs to add machine learning services to their applications without building and training their own models can take advantage of the Application Services layer. Simply call APIs to perform image processing, voice recognition, video processing, speech synthesis, or other machine learning services. Start taking advantage of machine learning on AWS today like the NFL, Netflix, Zillow, and other large businesses have!

Documentary about Artificial Intelligence (AI), Big Data, Robots, Robotics, Machine Learning and any more digital economy topics: Forward Thinking – March of the Machines: The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intelligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.

Forward Thinking: March of the Machines – Episode 1
Stars: Dafydd Rees, Alastair Bates
Genres: Documentary | News

The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.

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COPYRIGHT: All of the films published by us are legally licensed. We have acquired the rights (at least for specific territories) from the rightholders by contract. If you have questions please send an email to: info@amogo.de, Amogo Networx – The AVOD Channel Network, www.amogo-networx.com.

Dan Fagella talks to Jason Barnard and they provide you with a 5 minute definition Artificial Intelligence and Machine Learning.
If you want to understand, in simple terms, what all the fuss is about, watch this 5 minute explanation in the form of an intelligent and enjoyable conversation between Dan and Jason.

What are Artificial Intelligence and Machine Learning?
Artificial Intelligence is a technology where a computer aims to perform tasks that otherwise a human would need to do. What is considered to be Artificial Intelligence changes over time – what was considered to be AI in 1980, is no longer considered to be AI today (watch the video for Dan Faggella’s brilliant explanation).
Machine learning is a subset of AI where humans provide a computer with vast amounts of information and give it a task to perform. The machine automatically learns and improves its performance in completing the task from experience without being explicitly programmed, even finding new and better ways to complete to task that a human would not have thought of or predicted.

Read the transcript here https://kalicube.pro/faq/seo-glossary/explanation-of-artificial-intelligence-and-machine-learning/

My biggest pet peeve in machine learning: loudmouths saying unsupervised learning is free of humans and human bias. You couldn’t be more wrong if you tried!

Learn more:
Unsupervised learning intro: http://bit.ly/quaesita_unsupervised
AI bias: http://bit.ly/quaesita_aibias
Human supervision: http://bit.ly/quaesita_drugs
It’s analytics, not machine learning: http://bit.ly/quaesita_datasci

SASTRA Day 4, Session 01 ATAL AICTE FDP on AI,ML u0026DL 2020 09 16 at 20 42 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

SASTRA Day 5, Session 01 ATAL AICTE FDP on AI,ML u0026DL 2020 09 17 at 20 35 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

SASTRA Day 4, Session 04 ATAL AICTE FDP on AI,ML u0026DL 2020 09 17 at 02 45 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

Gyrus is a globally recognized award-winning LMS platform used by millions of professionals across more than 25 countries. A truly futuristic LMS, powered by Artificial Intelligence and Machine Learning.

With our multitenant environment support, exceptional user experience, holistic features, flexibility to create customized workflows, multiple languages, Gyrus is the LMS partner of choice for some of the leading enterprises in the industry.

#LearningManagement #LMS #LMSPlatform #EnterpriseLearning #CloudLMS #LeadingLMS

TuTiTu Preschool is a series for children making their first steps into numbers, letters, shapes and more. Each episode will teach your toddler one of the basic building blocks of knowledge using vivid colors, fun and engaging animation and exciting music!

FREE games – http://tutitu.tv/playground/
Facebook – https://www.facebook.com/TuTiTuTV
Pinterest – http://www.pinterest.com/tutitutv
Twitter – https://twitter.com/TuTiTuTV

In this episode: What’s fun, colorful and floats in the sky? It’s TuTiTu’s ABC balloons!

Production & Animation: Twist Animation Ltd.
Production Designers: Tal Gamliel, Yossi Dahan
TuTiTu’S Theme Song: Lyrics: Sarit Ido Schechter, Music: Sarit Ido Schechter and Tal Gamliel,
Musical Arrangement: Uri Kariv
Vocals: Yael Shoshana Cohen
Sound engineering: Gil Landau

Category: Preschool
Icon: Preschool
Package: 0_qn66478z

A small 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms.

Also check out my other project “AI Learns to Park”:
https://www.youtube.com/watch?v=VMp6pq6_QjI

Two AI fight for the same Parking Spot:
https://www.youtube.com/watch?v=CqYKhbyHFtA

Interested in how Neural Networks work? Have a look at my one-minute-explanation: https://www.youtube.com/watch?v=rEDzUT3ymw4

This simulation was implemented in Unity. You can find detailed information about how this simulation works, as well as a link to the entire source code on my website: https://arztsamuel.github.io/en/projects/unity/deepCars/deepCars.html

Don’t miss any future videos, by subscribing to my channel.
Follow me on Twitter: https://twitter.com/SamuelArzt

#MachineLearning #Evolution #GeneticAlgorithm

Swami Sivasubramanian, VP Machine Learning, Amazon Web Services delivers the first-ever Machine Learning Keynote at re:Invent. Hear how AWS is freeing builders to innovate on machine learning with the latest developments in AWS machine learning, demos of new technology, and insights from customers. Including the launch of Distributed Training on SageMaker, SageMaker Clarify, Deep Profiling for SageMaker Debugger, SageMaker Edge Manager, Amazon Redshift ML, Amazon Neptune ML, Amazon Lookout for Metrics, and Amazon HealthLake. Guest speakers include Jennifer Langton, NFL and Elad Benjamin, Philips with demos and deep dives from AWS speakers including Dr. Nashlie Sephus, Dorothy Li, and Dr. Matt Wood.

Launch Announcements:
00:00 Machine Learning Keynote
15:56 Distributed Training on SageMaker
36:16 SageMaker Clarify
43:16 Deep Profiling for SageMaker Debugger
53:29 SageMaker Edge Manager
1:01:58 Amazon Redshift ML
1:04:30 Amazon Neptune ML
1:15:44 Amazon Lookout for Metrics
1:36:40 Amazon HealthLake

Demos:
45:54 SageMaker
1:07:18 Quicksight Q
1:19:50 Industrial AI
1:36:40 Amazon HealthLake

Guest speakers include:
21:56 Jennifer Langton, NFL
1:41:40 Elad Benjamin, Philips

Subscribe:
More AWS videos http://bit.ly/2O3zS75
More AWS events videos http://bit.ly/316g9t4

#AWS

This trailer is for the Deep learning Specialization. If you want to break into Artificial Intelligence (AI), this specialization will help you do so. Enroll today at https://www.coursera.org/specializations/deep-learning?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=deeplearning-ai to get access to the specialization!

About this specialization:
Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.

We will help you master Deep Learning, understand how to apply it, and build a career in AI.

Visit https://www.coursera.org/specializations/deep-learning?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=deeplearning-ai to learn more!

Keep in touch with Coursera!
Twitter: https://twitter.com/coursera
Facebook: https://www.facebook.com/Coursera/

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DARPA SUPERHIT 2021

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