KDnuggets™ News 19:n11, Mar 20: Another 10 Free Must-Read Books for Data Science; 19 Inspiring Women in AI, Big Data, Machine Learning
Also: Who is a typical Data Scientist in 2019?; The Pareto Principle for Data Scientists; My favorite mind-blowing Machine Learning/AI breakthroughs; Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision; Advanced Keras - Accurately Resuming a Training Process
Features | Tutorials | Opinions | News | Webcasts | Courses | Meetings | Jobs | Academic | Tops | Image of the week
Features
Tutorials, Overviews
Opinions
News
Webcasts and Webinars
Courses, Education
Meetings
Jobs
Academic
Top Stories, Tweets
Image of the week
Features
Another 10 Free Must-Read Books for Machine Learning and Data Science
19 Inspiring Women in AI, Big Data, Data Science, Machine Learning
- Who is a typical Data Scientist in 2019?
- The Pareto Principle for Data Scientists
- My favorite mind-blowing Machine Learning/AI breakthroughs
- Xing, Heycar & Microsoft on stage at Deep Learning World in Munich
- Attend a PAW Workshop - Coming to a City Near You this Year
- The history of Predictive Analytics World in 13 bullets
Tutorials, Overviews
- Mastering Fast Gradient Boosting on Google Colaboratory with free GPU
- How to Train a Keras Model 20x Faster with a TPU for Free
- Artificial Neural Networks Optimization using Genetic Algorithm with Python
- Top R Packages for Data Cleaning
- Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision
- Advanced Keras - Accurately Resuming a Training Process
- Towards Automatic Text Summarization: Extractive Methods
- Object Detection with Luminoth
- People Tracking using Deep Learning
- Neural Networks with Numpy for Absolute Beginners - Part 2: Linear Regression
- Deconstructing BERT, Part 2: Visualizing the Inner Workings of Attention
Opinions
- Overcoming distrust on the path to productive analytics
- How To Work In Data Science, AI, Big Data
- Cartoon: AI and March Madness
- AI: Arms Race 2.0
- The 7 Myths of Data Anonymisation
- Beating the Bookies with Machine Learning
- Designing Ethical Algorithms
- Where Analytics, Data Science, Machine Learning Were Applied: Trends and Analysis
- Breaking neural networks with adversarial attacks
- Beyond news contents: the role of social context for fake news detection
- 3 Reasons Why AutoML Won't Replace Data Scientists Yet
News
- [eBook] Standardizing the Machine Learning Lifecycle
- [PDF] Executive Guide To Machine Learning
- Apply for a Mozilla Fellowship
- Get the guidebook for tackling data privacy & compliance
- Download your DATAx guide to AI in healthcare
- Robust Quality - Powerful Integration of Data Science and Process Engineering.
Webcasts and Webinars
Courses, Education
- 8 Reasons Why You Should Get a Microsoft Azure Certification
- Hone your coding and AI skills with a Computer Science online MSc
- Advanced Analytics & Data Gov Training in Chicago: ML, DL, Self-Service, Strategy, and more
- Securing your future in big data
- LiveVideo Courses on AI, Big Data, Machine Learning - only $25 through March 31
- New Data Science Bundle, or Build Your Own Bundle of Skills
Meetings
- Just Announced, Keynotes and Major Global Events in Data Science
- Xing, Heycar & Microsoft on stage at Deep Learning World in Munich
- Attend a PAW Workshop - Coming to a City Near You this Year
- Deep Learning Summit Boston - Meet RE•WORK's Newest Speakers
- Chief Analytics Officers & Influencers, Spring: May 15 - 16 2019, Crowne Plaza San Diego
- The history of Predictive Analytics World in 13 bullets
- KDnuggets offer: Save 20% on Strata in London
- Get a free SF hotel room night for Strata San Francisco
- REV 2: Next Data Science Leaders Summit, NYC, May 23-24
Jobs
- Apple: Commerce Data Scientist - Apple Media Products [Cupertino, CA]
- BD: Staff Data Scientist, Operations Researcher [San Diego, CA]
- Monash: Research Fellow [Clayton, Australia]
- Moosejaw: Sr. Manager of Customer Experience and Analytics [Madison Heights, MI]
- Staff Data Scientist [Mountain View, CA, Woodland Hills, CA]
- Intuit: Principal Data Scientist [Mountain View, CA]
- Intuit: Senior Data Scientist - Business Analytics [Mountain View, CA]
- Intuit: Sr Data Scientist, Business Analyst [Mountain View, CA]
- Intuit: Sr Data Scientist - Business Analytics [Mountain View, CA]
- Intuit: Sr Data Scientist, Business Analyst [Mountain View, CA]
- Intuit: Staff Data Scientist [Mountain View, CA]
- Intuit: Staff Business Data Analyst [Mountain View, CA]
- Intuit: Sr Business Data Analyst [Mountain View, CA]
- Intuit: Sr Analyst, Financial & Strategic Analytics [Mountain View, CA]
Academic
Top Stories, Tweets
- Top Stories, Mar 11-17: Who is a typical Data Scientist in 2019?; The Pareto Principle for Data Scientists
- Top KDnuggets tweets, Mar 06-12: Most impactful AI trends of 2018; Google open-sources GPipe for efficiently training large deep neural networks
- Top Stories, Mar 4-10: Another 10 Free Must-Read Books for Machine Learning and Data Science; 19 Inspiring Women in AI, Big Data, Data Science, ML
- Top February Stories: Data Scientists: Why are they so expensive to hire? Artificial Neural Network Implementation using NumPy and Image Classification
- Top KDnuggets tweets, Feb 27 - Mar 05: How to Setup a Python Environment for Machine Learning; How to do Everything in Computer Vision
Image of the week
From The Pareto Principle for Data Scientists
