KDnuggets News, July 13: Linear Algebra for Data Science; 10 Modern Data Engineering Tools
Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science
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KDnuggets News
- Linear Algebra for Data Science by Benjamin O. Tayo
- 10 Modern Data Engineering Tools by Abid Ali Awan
- Python String Processing Cheatsheet by Matthew Mayo
- 10 Modern Data Engineering Tools by Abid Ali Awan
From Our Partners
- High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike by Tonic AI
- 3 things you didn’t know about the SAS Academy for Data Science by SAS
This Week's Posts
- Simple Salary Guide for Tech Experts 2022 by Nisha Arya
- 16 Essential DVC Commands for Data Science by Abid Ali Awan
- Boosting Machine Learning Algorithms: An Overview by Derrick Mwiti
- N-gram Language Modeling in Natural Language Processing by Neeraj Agarwal
- Hidden Technical Debts Every AI Practitioner Should be Aware of by Vidhi Chugh
- Ten Key Lessons of Implementing Recommendation Systems in Business by Alexander Dzhumurat
- Bounding Box Deep Learning: The Future of Video Annotation by Gaurav Sharma
- Why Use k-fold Cross Validation? by Nisha Arya
- Data Preparation and Raw Data in Machine Learning by Neeraj Agarwal
- How to Convert an RGB Image to Grayscale by Brandon Rohrer
- 16 Essential DVC Commands for Data Science by Abid Ali Awan
From Around The Web
- Binary Classification Tutorial with the Keras Deep Learning Library by Jason Brownlee
- Understanding the Design of a Convolutional Neural Network by Adrian Tam
- Why open-ended conversational AI is a hard nut to crack by Tasmia Ansari
- 7 Important Factors That Affect a Data Scientist’s Salary by Chris Zita
- Understanding the Design of a Convolutional Neural Network by Adrian Tam
KDnuggets News
- Top Posts July 4-10: Free Python Crash Course by KDnuggets