fast.ai is dedicated to making the power of deep learning accessible to all. Deep learning is dramatically improving medicine, education, agriculture, transport and many other fields, with the greatest potential impact in the developing world. For its full potential to be met, the technology needs to be much easier to use, more reliable, and more intuitive than it is today.
This book is a primer on machine learning for programmers trying to get up to speed quickly. You'll learn how machine learning works and how to apply it in practice. We focus on just a few powerful models (algorithms) that are extremely effective on real problems, rather than presenting a broad survey of machine learning algorithms as many books do. Co-author Jeremy used these few models to become the #1 competitor for two consecutive years at Kaggle.com. This narrow approach leaves lots of room to cover the models, training, and testing in detail, with intuitive descriptions and full code implementations
This book covers the process of carrying out a deep learning project. Ng shares best practices learned the hard way from many successful and unsuccessful AI projects over the years. Invaluable.
Andrew Ng created a new series of courses, updating his original ML Coursera course. It's a time commitment, but it gets you more into understanding the theory (not deep, but deeper that fast.ai). This will help you navigate the changes from library to library over time.
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ACCELERATE YOUR CAREER THROUGH THE POWER OF COMMUNITY Analytics Vidhya brings you the power of community that comprises of data practitioners, thought leaders and corporates leveraging data to generate value for their businesses. Learn from the resources developed by experts at AnalyticsVidhya, participate in hackathons, master your skills with latest data science problems and showcase your skills to the world.
https://www.datacamp.com/instructors/dtkaplan
Daniel Kaplan is a great teacher, and covers the topic of statistical modeling--USEFUL statistical model--with great skill. This modeling approach is a extraordinarily powerful way to answer business and clinical questions. His book, Statistical Modeling, A Fresh Approach (2nd Edition) is a good introduction.
Jesse's eclectic list: https://twitter.com/jbspence/lists/data-science/members
Jeremy Howard @jeremyphoward Deep learning researcher & educator. Founder: fast.ai; Faculty: USF & Singularity University; // Previously - CEO: Enlitic; President: Kaggle; CEO Fastmail
Andrej Karpathy @karpathy Director of AI at Tesla. Previously a Research Scientist at OpenAI, and CS PhD student at Stanford. I like to train Deep Neural Nets on large datasets.
Luke Oakden-Rayner @DrLukeOR PhD student, radiologist, blogger, deep learning in medicine researcher
Ian Goodfellow @goodfellow_ian Google Brain research scientist leading a team studying adversarial techniques in AI. Lead author of http://www.deeplearningbook.org
Julia Silge @juliasilge Data science and visualization at @StackOverflow, #rstats, author of Text Mining with R, parenthood.
Data Science Renee @BecomingDataSci Creator/Host of Becoming a Data Scientist Podcast // @DataSciGuide @DataSciLearning @NewDataSciJobs // Personal acct: @paix120 // Data…
Mara Averick @dataandme tidyverse dev advocate @rstudio #rstats, #datanerd, #civictech 💖er, 🏀 stats junkie, using #data4good (&or 🥇 fantasy sports), lesser ½ of …
ML Review @ml_review We cover latest Research in Machine Learning: Papers, Lectures, Projects and more. https://mlreview.com
PyTennessee @PyTennessee A regional Python conference being held February 9-10, 2019 in Nashville, TN.
Hilary Parker @hspter Data Scientist @StitchFix, co-host of @NSSDeviations, #1 fan of @TheSquidofTruth #rstats #rcatladies
Analytics Vidhya @AnalyticsVidhya Building the nextgen data science ecosystem http://bit.ly/1Urbzxw Start here with #DataScience | #Analytics | #MachineLearning I #BigData I …
Samuel SinyangweVerified account @samswey Black Activist. Data Scientist & Policy Analyst. Stanford Alum. Co-Founder, Campaign Zero | Mapping Police Violence | OurStates. IG: samswey
OpenAI @OpenAI OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence. We're hiring: http://openai.com/jobs
STAT @statnews Reporting from the frontiers of health and medicine.
Frank Harrell @f2harrell Professor and Founding Chair of Biostatistics, Vanderbilt University. Office of Biostatistics, FDA CDER. Blog: Statistical Thinking - http://fharrell.com
Jenny Bryan @JennyBryan Software engineer @rstudio, humane #rstats, adjunct prof @UBC where I created @STAT545, part of @ropensci, http://www.math.ubc.ca/~jbryan/JennyCV.pdf …
Google AIVerified account @GoogleAI Google AI is focused on bringing the benefits of AI to everyone. In conducting and applying our research, we advance the state-of-the-art in many domains.
Simply Statistics @simplystats Simply Statistics blog by Jeff Leek, Roger Peng, and Rafael Irizarry. Home to statistics; data; science; and Rafa's Rants.
Tim O'ReillyVerified account @timoreilly Founder and CEO, O'Reilly Media. Watching the alpha geeks, sharing their stories, helping the future unfold.
MLconf @MLconf The Machine Learning Conference