12 Deep Learning Researchers and Leaders - Sep 23, 2019.
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.
Tags: Andrej Karpathy, Andrew Ng, Deep Learning, Demis Hassabis, Fei-Fei Li, Geoff Hinton, Ian Goodfellow, Influencers, Jeremy Howard, Research, Yann LeCun
- KDnuggets™ News 19:n34, Sep 11: I wasn’t getting hired as a Data Scientist. So I sought data on who is - Sep 11, 2019.
How one person overcame rejections applying to Data Scientist positions by getting actual data on who is getting hired; Advice from Andrew Ng on building ML career and reading research papers; 10 Great Python resources for Data Scientists; Python Libraries for Interpretable ML.
Tags: Advice, Andrew Ng, Career, Data Scientist, Interpretability, Python
Advice on building a machine learning career and reading research papers by Prof. Andrew Ng - Sep 5, 2019.
This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.
Tags: Andrew Ng, Career, Machine Learning, Research
- KDnuggets™ News 19:n30, Aug 14: Know Your Neighbor: Machine Learning on Graphs; 12 NLP Researchers, Practitioners You Should Follow - Aug 14, 2019.
Machine Learning on Graphs; 12 amazing leaders in NLP; Deep Learning for NLP explained, including ANNs, RNNs and LSTMs; Benford's Law and why is it important for data science; Key concepts in Andrew Ng "Machine Learning Yearning".
Tags: Andrew Ng, Benford's Law, Deep Learning, Graph Mining, NLP
6 Key Concepts in Andrew Ng’s “Machine Learning Yearning” - Aug 12, 2019.
If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.
Tags: AI, Andrew Ng, Best Practices, Deployment, Machine Learning, Metrics, Training Data
- Earn a Deep Learning Certificate - Apr 22, 2019.
Now is your chance to break into AI, even if you don’t have a PhD. If you want a job in AI and Deep Learning, Andrew Ng’s Specialization will help you get there.
Tags: Andrew Ng, Coursera, Deep Learning, MOOC
- 7 Useful Suggestions from Andrew Ng “Machine Learning Yearning” - May 8, 2018.
Machine Learning Yearning is a book by AI and Deep Learning guru Andrew Ng, focusing on how to make machine learning algorithms work and how to structure machine learning projects. Here we present 7 very useful suggestions from the book.
Tags: Andrew Ng, Book, Data Cleaning, Data Preparation, Free ebook, Machine Learning, Metrics
- Don’t learn Machine Learning in 24 hours - Apr 13, 2018.
When it comes to machine learning, there's no quick way of teaching yourself - you're in it for the long haul.
Tags: Advice, Andrew Ng, Machine Learning, Peter Norvig
- Great Data Scientists Don’t Just Think Outside the Box, They Redefine the Box - Mar 8, 2018.
The best data scientists have strong imaginative skills for not just “thinking outside the box” – but actually redefining the box – in trying to find variables and metrics that might be better predictors of performance.
Tags: Andrew Ng, Data Science, Data Scientist, Deep Learning, Machine Learning
A Basic Recipe for Machine Learning - Feb 13, 2018.
One of the gems that I felt needed to be written down from Ng's deep learning courses is his general recipe to approaching a deep learning algorithm/model.
Tags: Algorithms, Andrew Ng, Coursera, Deep Learning, deeplearning.ai
- Error Analysis to your Rescue – Lessons from Andrew Ng, part 3 - Jan 29, 2018.
The last entry in a series of posts about Andrew Ng's lessons on strategies to follow when fixing errors in your algorithm
Tags: Andrew Ng, Bias, Distribution, Machine Learning, Variance
- 15 Minute Guide to Choose Effective Courses for Machine Learning and Data Science - Dec 28, 2017.
Advice for young professionals in non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.
Pages: 1 2
Tags: Andrew Ng, Coursera, Data Science, edX, Machine Learning, MOOC, Udemy
- Top KDnuggets tweets, Dec 20-26: Harvard CS109 #DataScience Course Resources; Computer Vision by Andrew Ng: Lessons Learned - Dec 27, 2017.
Also: Ten years in, nobody has come up with a use for #blockchain - here is what happened; Can I Become a #DataScientist: Research into 1,001 #DataScience Profiles.
Tags: Andrew Ng, Blockchain, Computer Vision, Data Science Education, Top tweets
Computer Vision by Andrew Ng - 11 Lessons Learned - Dec 22, 2017.
I recently completed Andrew Ng’s computer vision course on Coursera. In this article, I will discuss 11 key lessons that I learned in the course.
Tags: Andrew Ng, Computer Vision, Coursera, Deep Learning, MOOC, Neural Networks, Object Detection
- How to Improve Machine Learning Algorithms? Lessons from Andrew Ng, part 2 - Dec 21, 2017.
The second chapter of ML lessons from Ng’s experience. This one will only be talking about Human Level Performance & Avoidable Bias.
Tags: Algorithms, Andrew Ng, Bias, Machine Learning
- How to Improve Machine Learning Performance? Lessons from Andrew Ng - Dec 13, 2017.
5 useful tips and lessons from Andrew Ng on how to improve your Machine Learning performance, including Orthogonalisation, Single Number Evaluation Metric, and Satisfying and Optimizing Metric.
Tags: Andrew Ng, Machine Learning
- Top KDnuggets tweets, Nov 22-28: Reinforcement Learning: An Introduction by Sutton and Barto – Complete Second Draft - Nov 29, 2017.
Also #DeepLearning Specialization by Andrew Ng - 21 Lessons Learned; How (and Why) to Create a Good Validation Set; Predicting Cryptocurrency Prices With #DeepLearning
Tags: Andrew Ng, Bitcoin, Deep Learning, Reinforcement Learning, Rich Sutton, Validation
- KDnuggets™ News 17:n45, Nov 29: New Poll: Data Science Methods Used? Deep Learning Specialization: 21 Lessons Learned - Nov 29, 2017.
Also The 10 Statistical Techniques Data Scientists Need to Master; Did Spark Really Kill Hadoop? A Framework for Textual Data Science.
Tags: Andrew Ng, Apache Spark, Deep Learning, Statistics, Text Mining
Deep Learning Specialization by Andrew Ng – 21 Lessons Learned - Nov 24, 2017.
I found all 3 courses extremely useful and learned an incredible amount of practical knowledge from the instructor, Andrew Ng. Ng does an excellent job of filtering out the buzzwords and explaining the concepts in a clear and concise manner.
Tags: Andrew Ng, Coursera, Deep Learning, MOOC, Neural Networks
- 5 Free Resources for Furthering Your Understanding of Deep Learning - Oct 20, 2017.
This post includes 5 specific video-based options for furthering your understanding of neural networks and deep learning, collectively consisting of many, many hours of insights.
Tags: Andrew Ng, Deep Learning, Neural Networks, NIPS, Summer School
An Overview of 3 Popular Courses on Deep Learning - Oct 13, 2017.
After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.
Tags: Andrew Ng, Coursera, Deep Learning, deeplearning.ai, fast.ai, Jeremy Howard, Neural Networks
- Find Out What Celebrities Tweet About the Most - Oct 5, 2017.
Word cloud is a popular data visualisation method. Here we show how to use R to create twitter word cloud of celebrities and politicians.
Tags: Andrew Ng, Data Visualization, Donald Trump, R, Twitter, Word Cloud
- Key Takeaways from AI Conference in San Francisco 2017 – Day 1 - Sep 29, 2017.
Highlights and key takeaways from day 1 of AI Conference San Francisco 2017, including current state review, future trends, and top recommendations for AI initiatives.
Pages: 1 2
Tags: AI, Andrew Ng, Ben Lorica, CA, Conference, Genomics, O'Reilly, San Francisco, Startup, Unsupervised Learning
- AI Conference in San Francisco, Sep 2017 – highlights and key ideas - Sep 28, 2017.
Highlights from recent AI Conference include the inevitable merger of IQ and EQ in computing, Deep learning to fight cancer, AI as the new electricity and advice from Andrew Ng, Deep reinforcement learning advances and frontiers, and Tim O’Reilly analysis of concerns that AI is the single biggest threat to the survival of humanity.
Tags: Affective Computing, AI, Andrew Ng, CA, Deep Learning, Healthcare, O'Reilly, Optimization, Reinforcement Learning, San Francisco, Threat to Humanity
- Top KDnuggets tweets, Sep 20-26: 30 Essential #DataScience, #MachineLearning & #DeepLearning Cheat Sheets - Sep 27, 2017.
Also: Older news, but still inspiring: #Harvard Thinks It Found the Next #Einstein; Putting #MachineLearning in Production - how to guide.
Tags: Andrew Ng, Cheat Sheet, TensorFlow, Top tweets
- Top KDnuggets tweets, Sep 06-12: Visualizing Cross-validation Code; Intro to #Blockchain and #BigData - Sep 13, 2017.
Also: WTF #Python - A collection of interesting and tricky Python examples; Thoughts after taking @AndrewYNg #Deeplearning #ai course; Another #Keras Tutorial For #NeuralNetwork Beginners.
Tags: Andrew Ng, Blockchain, Cross-validation, Jeremy Howard, Keras, Python, Top tweets
- Top /r/MachineLearning Posts, August: Andrew Ng is back at it; Reinforcement Learning makes a splash; Fixing your ANN - Sep 8, 2017.
Andrew Ng announces new Deep Learning specialization on Coursera; DeepMind and Blizzard open StarCraft II as an AI research environment; OpenAI bot beat best Dota 2 players in 1v1 at The International 2017; My Neural Network isn't working! What should I do?; Deep Learning Neural Networks Play Path of Exile
Tags: Andrew Ng, Coursera, Deep Learning, deeplearning.ai, DeepMind, Neural Networks, OpenAI, Reddit, Reinforcement Learning
What Artificial Intelligence and Machine Learning Can Do—And What It Can’t - Aug 10, 2017.
I have seen situations where AI (or at least machine learning) had an incredible impact on a business—I also have seen situations where this was not the case. So, what was the difference?
Tags: AI, Andrew Ng, Ingo Mierswa, Machine Learning, RapidMiner
- KDnuggets Free Pass to The AI Conference, San Francisco, Sep 17-20 - Jul 26, 2017.
AI is the hottest technology now. You can win a free pass to the new AI conference in SF in September or use code PCKDNG to save right now.
Tags: AI, Andrew Ng, Applications, CA, O'Reilly, San Francisco
Machine Learning Exercises in Python: An Introductory Tutorial Series - Jul 26, 2017.
This post presents a summary of a series of tutorials covering the exercises from Andrew Ng's machine learning class on Coursera. Instead of implementing the exercises in Octave, the author has opted to do so in Python, and provide commentary along the way.
Tags: Andrew Ng, Machine Learning, Python
- The Real “Fear” of AI is Automation Inundation - Jun 16, 2017.
The biggest threat to minimum wage earners (and beyond, quite frankly) is the new tsunami of automation in the workplace.
Tags: AI, Andrew Ng, Automation
- Top KDnuggets tweets, Jun 07-13: Is Regression Analysis Really Machine Learning? - Jun 14, 2017.
Machine Learning in Real Life: Tales from the Trenches; Is Regression Analysis Really Machine Learning?; Implementing Your Own k-Nearest Neighbour Algorithm Using Python; Building Simple Neural Networks - TensorFlow for Hackers.
Tags: Andrew Ng, Machine Learning, TensorFlow, Top tweets
Top 10 Machine Learning Videos on YouTube, updated - May 3, 2017.
The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.
Tags: Andrew Ng, Computer Vision, Deep Learning, Geoff Hinton, Google, Machine Learning, Neural Networks, Robots, Video Games, Yaser Abu-Mostafa, Youtube
Deep Learning – Past, Present, and Future - May 2, 2017.
There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.
Pages: 1 2
Tags: Andrew Ng, Big Data, Deep Learning, Geoff Hinton, Google, GPU, History, Neural Networks, NVIDIA
- Top /r/MachineLearning Posts, March: A Super Harsh Guide to Machine Learning; Is it Gaggle or Koogle?!? - Apr 4, 2017.
A Super Harsh Guide to Machine Learning; Google is acquiring data science community Kaggle; Suggestion by Salesforce chief data scientist; Andrew Ng resigning from Baidu; Distill: An Interactive, Visual Journal for Machine Learning Research
Tags: Advice, Andrew Ng, Distill, Google, Kaggle, Machine Learning, Reddit, Salesforce
- Top KDnuggets tweets, Jan 25-31: Python implementations of Andrew Ng #MachineLearning MOOC exercises - Feb 1, 2017.
#Python implementations of Andrew Ng #MachineLearning MOOC exercises; This repository contains the entire #Python #DataScience Handbook; What are the best #visualizations of #MachineLearning algorithms? Learn #TensorFlow and #DeepLearning, without a PhD.
Tags: Algorithms, Andrew Ng, Data Visualization, Machine Learning, Python, TensorFlow, Top tweets
- Top KDnuggets tweets, Nov 30 – Dec 06: A great and useful collection of minimal and clean implementations of #MachineLearning algorithms - Dec 7, 2016.
Also: #MachineLearning Yearning book draft, Free Download, by Andrew Ng; A short guide to learn #NeuralNets, and maybe get famous and rich with #DeepLearning; Free Book: Foundations of Computer Science, Aho & Ullman.
Tags: Andrew Ng, Free ebook, Machine Learning, Neural Networks, Top tweets
- Top KDnuggets tweets, Sep 28-Oct 4: 7 Steps to Mastering SQL for #DataScience; Biggest Issues in #DataScience - Oct 5, 2016.
7 Steps to Mastering SQL for #DataScience; New Andrew Ng #MachineLearning #Book Under Construction, #Free Draft Chapters; Top #DataScientist Claudia Perlich on Biggest Issues in #DataScience; Awesome Public Datasets on GitHub
Tags: Andrew Ng, Data Science, ebook, SQL, Top tweets
- Top /r/MachineLearning Posts, August: Google Brain AMA, Image Completion with TensorFlow, Japanese Cucumber Farming - Sep 5, 2016.
Google Brain AMA; Image Completion with Deep Learning in TensorFlow; Japanese Cucumber Farming; Andrew Ng's machine learning class in Python; Google Brain datasets for robotics research
Tags: Andrew Ng, Deep Learning, Google, Machine Learning, Python, Reddit, Robots, TensorFlow
- Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey - Jul 11, 2016.
This post reviews Machine Learning MOOCs and online lectures for both the novice and expert audience.
Tags: Andrew Ng, Coursera, Deep Learning, edX, Machine Learning, MOOC, Nando de Freitas, Tom Mitchell, Udacity
- Top /r/MachineLearning Posts, June: Microsoft Videos, Machine Learning Training Pathway, Free Books! - Jul 5, 2016.
Microsoft Research Machine Learning Videos; Free Machine Learning Training Pathway; Andrew Ng's New Book; Coursera Removing Free Online Courses; Free Books!
Tags: Andrew Ng, Coursera, Free ebook, Machine Learning, Microsoft Research, Reddit
- New Andrew Ng Machine Learning Book Under Construction, Free Draft Chapters - Jun 20, 2016.
Check out the details on Andrew Ng's new book on building machine learning systems, and find out how to get your free copy of draft chapters as they are written.
Tags: Andrew Ng, Book, Free ebook, Machine Learning
- Deep Learning and Startups: Notes on Rework Conference, San Francisco - Feb 17, 2016.
The Rework Deep Learning conference came to San Francisco this past January, and showcased both prominent deep learning researchers and startups. Get an overview of the proceedings with notes from an attendee.
Pages: 1 2
Tags: Andrew Ng, CA, Deep Learning, DeepMind, RE.WORK, Research, San Francisco
- Top KDnuggets tweets, Feb 1-7: On Facebook people are separated by only 3.5 degrees; Tribute to Marvin Minsky, co-founder of AI - Feb 8, 2016.
The Most Funded #Tech #Startup In every US state; Tableau, Qlik, Microsoft leaders in Gartner 2016 BI, #Analytics Platforms; Tribute to Marvin Minsky 1927-2016, co-founder of Artificial Intelligence; No more #6degrees! On Facebook people are separated by only 3.5 degrees.
Tags: Andrew Ng, Artificial Intelligence, Facebook, startups
- Top Datapreneurs in data science - Sep 4, 2015.
A datapreneur is an entrepreneur focused on data science. Here is a great list of datapreneurs who created Data Products, Data Science Services, Data Science Training/Education, and Data Science Communities.
Pages: 1 2 3
Tags: Analytics Vidhya, Andrew Ng, Big Data Influencers, Data Science, Entrepreneur, Gregory Piatetsky, Jim Goodnight
- Top 10 Machine Learning Videos on YouTube - Jun 23, 2015.
The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.
Tags: Andrew Ng, Computer Vision, Deep Learning, Geoff Hinton, Google, Grant Marshall, Machine Learning, Neural Networks, Robots, Video Games, Youtube
- Top KDnuggets tweets, May 12-18: Hadoop demand falls; Andrew Ng Machine Learning class, excellent course notes - May 19, 2015.
#Hadoop demand falls, 54% of enterprises have no plans for it; Download your entire #Google search history; #DataScience for #Dummies: An interview with author Lilian @BigDataGal Pierson; Andrew Ng Machine Learning Coursera class - complete, excellent course notes.
Tags: Andrew Ng, Coursera, Data Science Education, Google, Hadoop, SAS
- How to become a Data Scientist – brief answer - Apr 28, 2015.
The most important steps to become a Data Scientist: learn Python, deep understanding of machine learning, try to be up-to-date. Check more details in the post.
Tags: Andrew Ng, Data Scientist, Geoff Hinton, Python, Quora
- Top /r/MachineLearning Posts, Apr 12-18: Andrew Ng AMA, Autoencoders, and Deep Learning Textbooks - Apr 23, 2015.
Andrew Ng's AMA, a probabilistic view of Autoencoders, open source sentiment analysis, deep learning textbooks, and Airbnb's host matching are all discussed this week on /r/MachineLearning.
Tags: AirBnB, Andrew Ng, Baidu, Deep Learning, Grant Marshall, Open Source, Reddit, Sentiment Analysis, Textbook
- Top /r/MachineLearning Posts, Mar 29-Apr 4: Andrew Ng AMA, Deep Learning for NLP, and OpenCL Convnets - Apr 10, 2015.
Andrew Ng's upcoming AMA, scikit-learn updates, Richard Socher's Deep Learning NLP videos, Criteo's huge new dataset, and convolutional neural networks on OpenCL are the top topics discussed this week on /r/MachineLearning.
Tags: Andrew Ng, Convolutional Neural Networks, Datasets, Deep Learning, NLP, Python, Reddit, scikit-learn
- Top KDnuggets tweets, Mar 30 – Apr 01: Very useful! Data Visualization with ggplot2 CheatSheet - Apr 2, 2015.
Very useful! Data Visualization with ggplot2 Cheat Sheet; Great Data Science resource: Intro to Statistics using Python, Pandas; 14 Best Python Pandas Features; Data Science shows why taxis can never compete.
Tags: Andrew Ng, Cheat Sheet, ggplot2, Lionel Messi, Pandas, Python, Soccer, Uber
- RE.WORK Deep Learning Summit, San Francisco, January – videos, presentations - Feb 26, 2015.
Interesting videos and presentations from January Deep Learning Summit include a Fireside Chat with Andrew Ng and Derrick Harris, presentations by Richard Socher (Founder, MetaMind), Quoc Le (Research Scientist, Google), Greg Corrado (Sr Research Scientist at Google), and more.
Tags: Andrew Ng, CA, Deep Learning, Google, MetaMind, Quoc Le, RE.WORK, Richard Socher, San Francisco
- Top KDnuggets tweets, Dec 29 – Jan 04: A brilliant way to tell causation from correlation; Machine Learning Experts You Need to Know. - Jan 5, 2015.
SAS is n1 among major BI vendors whose users plan to discontinue use; How #MachineLearning, #BigData, and image recognition could revolutionize search; A brilliant way to tell causation from correlation; Machine Learning Experts You Need to Know: Geoff Hinton, Michael Jordan, Andrew Ng.
Tags: Andrew Ng, Causation, Correlation, Geoff Hinton, Image Recognition, Michael Jordan, SAS
- SPOTLIGHT: Can Data Science Save Humanity from Mosquitoes and other Deadly Insects? #2 - Oct 9, 2014.
KDnuggets launches Spotlight initiative to bring attention to academic research. The journey begins with Prof. Eamonn Keogh, UCR and his talented student, Yanping Chen, who are applying data mining to save us all from insect-vectored diseases.
Tags: Acoustics, Andrew Ng, Data Mining, Interview, Machine Learning, Research, Time Series, UC Riverside, Yanping Chen
- Where to Learn Deep Learning – Courses, Tutorials, Software - May 26, 2014.
Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.
Tags: Andrew Ng, Deep Learning, Geoff Hinton, Machine Learning, Yann LeCun
- Top KDnuggets tweets, May 19-20: 12 Free Data Mining, Data Science books; Exclusive: How to Lead in Big Data - May 21, 2014.
12 Free Data Mining, Data Science, Applied Stats, and Machine Learning Books ; Exclusive Interview: Michael O'Connell on How to Lead in Big Data; Free ebook: The Complete Guide to Facebook Analytics; AI, Deep Learning race between Google, Facebook, and Baidu.
Tags: Andrew Ng, Baidu, Deep Learning, Facebook, Free ebook, Google, Michael O'Connell
- KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab - Feb 20, 2014.
We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.
Tags: Andrew Ng, Deep Learning, Facebook, Interview, NYU, Support Vector Machines, Vladimir Vapnik, Yann LeCun
- Coursera Andrew Ng on Online Revolution: Education for Everyone - Aug 15, 2013.
My report on KDD-2013 Keynote talk by Coursera co-founder Andrew Ng, on Coursera far-reaching experiment in education, which collected more educational data in one year than all the universities in the history of mankind. Andrew Ng believes that great education should not be only for the privileged but should be a fundamental human right.
Tags: Andrew Ng, Coursera, KDD-2013, MOOC
Understanding Boxplots