- 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.
- Cartoon: Unsupervised Machine Learning? - Sep 14, 2019.
New KDnuggets Cartoon looks at one of the hottest directions in Machine Learning and asks "Can Machine Learning be too unsupervised?"
- 8 Useful Advices for Aspiring Data Scientists - May 4, 2018.
I recently read Sebastian Gutierrez’s “Data Scientists at Work”, in which he interviewed 16 data scientists. I want to share the best answers that these data scientists gave for the question: "What advice would you give to someone starting out in data science?"
- The AGI/Deep Learning Connection - Feb 1, 2018.
Also, deep learning would definitely prove to be an essential component to create truly intelligent machines but probably not enough alone.
- Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning - Dec 5, 2017.
My exclusive interview with Rich Sutton, the Father of Reinforcement Learning, on RL, Machine Learning, Neuroscience, 2nd edition of his book, Deep Learning, Prediction Learning, AlphaGo, Artificial General Intelligence, and more.
- Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 2: The Pioneers - Oct 18, 2017.
The most anticipated aspect of the RE•WORK Deep Learning Summit Montreal was the assembly of deep learning pioneers Yoshua Bengio, Yann LeCun, and Geoff Hinton on stage separately and together for the first time at such an event.
- RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton - Oct 17, 2017.
At the Deep Learning Summit in Montreal last week, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada.
- Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1: Computer Vision - Oct 16, 2017.
Read up on what you missed from the RE•WORK Deep Learning Summit Montreal, held October 10 & 11, including talks from Aaron Courville, Ira Kemelmacher-Shlizerman, Roland Memisevic, and Raquel Urtasun.
- The Strange Loop in Deep Learning - Jul 11, 2017.
This ‘strange loop’ is in fact is the fundamental reason for what Yann LeCun describes as “the coolest idea in machine learning in the last twenty years.”
- Top /r/MachineLearning Posts, 2016: Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment - Jan 11, 2017.
Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment; Huggable Image Classifier; xkcd: Linear Regression; AlphaGO WINS!; TensorFlow Fizzbuzz
- 3 Thoughts on Why Deep Learning Works So Well - Aug 10, 2016.
While answering a posed question in his recent Quora Session, Yann LeCun also shared 3 high-level thoughts on why deep learning works so well.
- Yann LeCun Quora Session Overview - Aug 1, 2016.
Here is a quick oversight, with excerpts, of the Yann LeCun Quora Session which took place on Thursday July 28, 2016.
- The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing - Feb 15, 2016.
Deep learning pioneers Yann LeCun and Yoshua Bengio have undertaken a grand experiment in academic publishing. Embracing a radical level of transparency and unprecedented public participation, they've created an opportunity not only to find and vet the best papers, but also to gather data about the publication process itself.
- 21 Must-Know Data Science Interview Questions and Answers - Feb 11, 2016.
KDnuggets Editors bring you the answers to 20 Questions to Detect Fake Data Scientists, including what is regularization, Data Scientists we admire, model validation, and more.
Pages: 1 2 3
- Top KDnuggets tweets, Nov 3-9: 500 Deep Learning Papers, Graphviz and Python; Facebook App can answer questions on content of photos - Nov 10, 2015.
500 #DeepLearning Papers, Graphviz and Python; Skills You Need To Become a $240K+ Unicorn Data Scientist: n1 is Apache #Spark; Cartoon: It all started with the iPhone answering my Gmail; Overview of Python Visualization Tools
- Top KDnuggets tweets, Jun 30 – Jul 06: Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books - Jul 12, 2015.
How Screenshot Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books; How to avoid #Overfitting using #Regularization; #DataScience must read: quick puzzle tests your problem solving.
- Data Scientists Thoughts that Inspire - Apr 29, 2015.
Inspirational thoughts from leading data scientists, including Yann LeCun, Erin Shellman, Daniel Tunkelang, Claudia Perlich, and Jake Porway. What inspires you?
Pages: 1 2
- Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2 - Mar 26, 2015.
Key ideas from a podcast with Deep Learning gurus Geoff Hinton, Yoshua Bengio, and Yann LeCun, where they explain the power of distributed representation and also propose a new open paper review process.
- Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1 - Mar 25, 2015.
An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.
- KDnuggets™ News 15:n09, Mar 25: Deep Learning from Scratch; 10 steps to Kaggle Success; US CDS DJ Patil Cartoon - Mar 25, 2015.
Deep Learning for Text Understanding from Scratch; New Poll: Computing platform; 10 Steps to Success in Kaggle Data; Cartoon: US Chief Data Scientist Most Difficult Challenge; SQL-like Query Language for Real-time Streaming Analytics.
- Small Data requires Specialized Deep Learning and Yann LeCun response - Mar 19, 2015.
For industries that have relatively small data sets (less than a petabyte), a Specialized Deep Learning approach based on unsupervised learning and domain knowledge is needed.
Pages: 1 2
- Deep Learning for Text Understanding from Scratch - Mar 13, 2015.
Forget about the meaning of words, forget about grammar, forget about syntax, forget even the very concept of a word. Now let the machine learn everything by itself.
- Top /r/MachineLearning posts, January - Feb 13, 2015.
Talking Machines, SVM lectures, a new Stanford statistical learning online course, and a listing of open-source datasets top the most popular Reddit posts on /r/MachineLearning for the month of January.
- Top /r/MachineLearning posts, Feb 1-7: Music recognition, Text Understanding from scratch - Feb 9, 2015.
Shazam music recognition techniques, deep learning for text understanding, neuroscience history, Neural Turing Machines using Torch, and genetic algorithms are the top topics on Reddit last week.
- Facebook Open Sources deep-learning modules for Torch - Feb 9, 2015.
We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
- Top KDnuggets Analytics, Big Data, Data Science stories in 2014, updated - Jan 11, 2015.
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; IBM Watson; Resources for learning Data Science, especially R and Python, and polls on what are most popular analytics/data mining software & languages.
- Top KDnuggets Analytics, Big Data, Data Science stories in 2014 - Dec 16, 2014.
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; Resources for learning Data Science, especially R and Python, and polls on popular languages for data science and data mining.
- Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014.
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.
- CuDNN – A new library for Deep Learning - Sep 19, 2014.
Becoming more and more popular, deep learning is proved to be useful in artificial intelligence. Last week, NVIDIA’s new library for deep neural networks, cuDNN, has attracted much attention.
- Deep Learning – important resources for learning and understanding - Aug 21, 2014.
New and fundamental resources for learning about Deep Learning - the hottest machine learning method, which is approaching human performance level.
- NYU Data Science Program – Things to Know Part 2 - Jun 16, 2014.
NYU Data Science program reviewed from inside, including courses on Machine Learning, Big Data, Deep Learning, top professors, great NYC location, and future plans.
- NYU Data Science Program – Things to Know - Jun 13, 2014.
Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.
- 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.
- Top stories in February: 3 Ways to test the accuracy; Exclusive Interview with Yann LeCun; One Page R - Mar 6, 2014.
3 Ways to Test the Accuracy of Your Predictive Models; KDnuggets Exclusive: Interview with Yann LeCun, One Page R: A Survival Guide to Data Science with R; Cartoon: Data Scientist Valentine Day Prediction.
- KDnuggets 14:n05, Exclusive: Yann LeCun interview; New Salary Poll; Gartner Analytics MQ - Mar 5, 2014.
Latest analytics/data mining news, including Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications (5) | Top Tweets (5) | CFP (18) .
- Top stories for Feb 23 – Mar 1: Exclusive Interview with Yann LeCun; Graf.ly; Gartner MQ for Advanced Analytics - Mar 2, 2014.
KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab; Graf.ly: Making beautiful, interactive graphs; SAS, IBM, RapidMiner, Knime leaders in Gartner MQ for Advanced Analytics Platforms; The Dos and Donts of Data Mining.
- Top stories for Feb 16-22 - Feb 23, 2014.
KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab; One Page R: A Survival Guide to Data Science with R; Anaconda: Free, enterprise-ready Python for Big data; Why numbers do not tell the complete story.
- KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun - Feb 20, 2014.
We discuss how far AI is likely to go, how Data Science to Statistics is like Computer Science was to Math, Big Data hype and reality, and advice to beginning Data Scientists.
- 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.
- Top KDnuggets tweets, Jan 15-16: Here is how to call Python from R; US Median Data Scientist salary: $117,500 - Jan 17, 2014.
Here is how to call Python from R; Data Scientist Salary Survey: median salary in US is $117,500; Yann LeCun, Head of Facebook new AI Lab: we are limited only by how many smart people we can find.