KDnuggets News, November 2: The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books
The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books • How to Make Python Code Run Incredibly Fast • Machine Learning on the Edge • Don't Become a Commoditized Data Scientist
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From Our Partners
This Week's Posts
From Around The Web
KDnuggets News
- The Current State of Data Science Careers by Nate Rosidi
- 15 Free Machine Learning and Deep Learning Books by Nisha Arya
- How to Make Python Code Run Incredibly Fast by Pralabh Saxena
- 15 Free Machine Learning and Deep Learning Books by Nisha Arya
From Our Partners
- Codeless Time Series Analysis with KNIME: Bringing powerful Python functionality to the masses by Packt Publishing
- Graphs: The natural way to understand data by Manning
- Data Engineering for ML: Optimize for Cost Efficiency by Sphere
- Attend the Data Science Symposium 2022, November 8 in Cincinnati by UC Center for Business Analytics
- 365 Data Science courses free until November 21 by 365 Data Science
- Graphs: The natural way to understand data by Manning
This Week's Posts
- Machine Learning on the Edge by Najia Gul
- Don't Become a Commoditized Data Scientist by Matthew Mayo
- Should I Learn Julia? by Abid Ali Awan
- Top 7 Diffusion-Based Applications with Demos by Abid Ali Awan
- Getting Started with Automated Text Summarization by Matthew Mayo
- TF-IDF Defined by Nisha Arya
- In Data We Trust: Data Centric AI by Nisha Arya
- The Gap Between Deep Learning and Human Cognitive Abilities by Bohdan Ponomar
- Getting Started with spaCy for NLP by Yesha Shastri
- Random Forest vs Decision Tree: Key Differences by Saikumar Talari
- Don't Become a Commoditized Data Scientist by Matthew Mayo
From Around The Web
- A Brief Introduction to BERT by Adrian Tam
- An Introduction to Q-Learning: A Tutorial For Beginners by Abid Ali Awan
- Texthero: Text Preprocessing, Representation, and Visualization for a pandas DataFrame by Khuyen Tran
- Google Data Scientist Interview Questions (Step-by-Step Solutions!) by Anna Wu
- How I Cracked the Meta Machine Learning Engineering Interview by Samuel Flender
- An Introduction to Q-Learning: A Tutorial For Beginners by Abid Ali Awan
KDnuggets News