KDnuggets News, May 25: The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books
The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Finding the Best IDE Software; 5 Ways to Double Your Income with Data Science; Operationalizing Machine Learning from PoC to Production
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This Week's Posts
From Around The Web
- The 6 Python Machine Learning Tools Every Data Scientist Should Know About by Nahla Davies
- The Complete Collection of Data Science Books - Part 1 by Abid Ali Awan
- Finding the Best IDE Software by Nisha Arya
- The Complete Collection of Data Science Books - Part 1 by Abid Ali Awan
This Week's Posts
- 5 Ways to Double Your Income with Data Science by Natassha Selvaraj
- Operationalizing Machine Learning from PoC to Production by Alakh Sharma
- Pydon'ts - Write elegant Python code: Free Book Review by Abid Ali Awan
- Top Jobs and Salaries in Data Science in 2022 by Nisha Arya
- How to Manage Your Complex IT Landscape with AIOps by Akif Baser
- A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability by Enyan Dai, Tianxiang Zhao and Suhang Wang
- 3 Reasons Why Teamwork is an Essential Skill in Data Science by Benjamin O. Tayo
- 7 Unique Skills That Set Data Scientists Apart From Other Professions by Nate Rosidi
- Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons by Charles Simon
- Operationalizing Machine Learning from PoC to Production by Alakh Sharma
From Around The Web
- Monkey Patching Python Code by Adrian Tam
- Managing Data Science Projects with Poetry by Rebecca Vickery
- Inference Optimization for Convolutional Neural Networks by Lilit Yolyan
- Managing Data Science Projects with Poetry by Rebecca Vickery