Top Stories, Jul 26 – Aug 1: GitHub Copilot Open Source Alternatives; Why and how should you learn “Productive Data Science”?
Tags: Top stories
Also: Advice for Learning Data Science from Google’s Director of Research; Design patterns in machine learning; A Brief Introduction to the Concept of Data; 5 Mistakes I Wish I Had Avoided in My Data Science Career
Most Popular Last Week
- GitHub Copilot Open Source Alternatives, by Matthew Mayo
- Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
- Advice for Learning Data Science from Google’s Director of Research, by Benjamin Obi Tayo
- Design patterns in machine learning, by Ágoston Török
- A Brief Introduction to the Concept of Data, by Angelica Lo Duca
Most Shared Last Week
- Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
- Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu
- 5 Mistakes I Wish I Had Avoided in My Data Science Career, by Tessa Xie
- A Brief Introduction to the Concept of Data, by Angelica Lo Duca
- GitHub Copilot Open Source Alternatives, by Matthew Mayo
Most Popular Tweets Last Week
- #DataScience Curriculum for self-study - KDnuggets #KDN
- ARTIFICIAL INTELLIGENCE, A #TEXTBOOK: This book covers the broader field of #AI, carefully balancing coverage between classical AI (logic or deductive reasoning) and modern AI (inductive learning and neural networks)
- Machine Learning Strategy when there is no data #cartoon
- GitHub Copilot Open Source Alternatives - KDnuggets
- All #MachineLearning #Algorithms You Should Know in 2021 - KDnuggets #KDN
Most Popular Past 30 Days
- Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
- Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj
- Advice for Learning Data Science from Google’s Director of Research, by Benjamin Obi Tayo
- Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
- A Learning Path To Becoming a Data Scientist, by Sara Metwalli
Most Shared Past 30 Days
- Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
- Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky
- Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
- Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
- Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu