KDnuggets News, November 16: How LinkedIn Uses Machine Learning • Confusion Matrix, Precision, and Recall Explained
How LinkedIn Uses Machine Learning To Rank Your Feed • Confusion Matrix, Precision, and Recall Explained • Matrix Multiplication for Data Science (or Machine Learning) • Machine Learning from scratch: Decision Trees • 7 Python Projects for Beginners
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KDnuggets News
- How LinkedIn Uses Machine Learning To Rank Your Feed by Youssef Hosni
- Confusion Matrix, Precision, and Recall Explained by Natassha Selvaraj
- Announcing a Blog Writing Contest, Winner Gets an NVIDIA GPU! by KDnuggets
- Confusion Matrix, Precision, and Recall Explained by Natassha Selvaraj
From Our Partners
- Finally a Book on Attention! by Machine Learning Mastery
- Watch all of IMPACT's breakout sessions ON-DEMAND by Monte Carlo Data
- 6 Best Free Online Courses to Learn Python and Boost Your Career by CoRise
- Watch all of IMPACT's breakout sessions ON-DEMAND by Monte Carlo Data
This Week's Posts
- Matrix Multiplication for Data Science (or Machine Learning) by Benjamin O. Tayo
- Machine Learning from scratch: Decision Trees by Ankit Malik
- 7 Python Projects for Beginners by Abid Ali Awan
- Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets by Matthew Mayo
- Analyzing Diversity & Inclusion with SQL by Josh Berry
- Getting Started with PyCaret by Vidhi Chugh
- Understanding Bias-Variance Trade-Off in 3 Minutes by Brenda Hali
- How To Create An Effective AI Strategy by Vidhi Chugh
- 5 Ways of Filtering Python Lists by Abid Ali Awan
- A Quick Overview of Voronoi Diagrams by Nisha Arya
- 5 Linguistics Courses for the NLP Practitioners by Matthew Mayo
- Top Data Analyst Certification Courses for 2022 by Nisha Arya
- Efficiency Spells the Difference Between Biological Neurons and Their Artificial Counterparts by Charles Simon
- Machine Learning from scratch: Decision Trees by Ankit Malik
From Around The Web
- One-Dimensional Tensors in Pytorch by Muhammad Asad Iqbal Khan
- Build a Data-Annotation Pipeline with Less than Fifty Lines of Code with Streamlit by Maximilian Strauss
- Calculating Derivatives in PyTorch by Muhammad Asad Iqbal Khan
- Streamlit from Scratch: Getting Started by Alan Jones
- I Took 12 Data Science Courses For 3 Months — Here’s What I Wish I Knew Earlier by Benjamin Nweke
- Build a Data-Annotation Pipeline with Less than Fifty Lines of Code with Streamlit by Maximilian Strauss
KDnuggets News