KDnuggets News, August 3: 10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning?
10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning? • ETL vs ELT: Data Integration Showdown • Free MLOps Crash Course for Beginners • 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem
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KDnuggets News
- 10 Most Used Tableau Functions by Abid Ali Awan
- Is Domain Knowledge Important for Machine Learning? by Nate Rosidi
- ETL vs ELT: Data Integration Showdown by Nisha Arya
- Is Domain Knowledge Important for Machine Learning? by Nate Rosidi
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- Why Upskilling in Data Vis Matters (& How to Get Started) by Sphere
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- How do I do that in Python? by Manning
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- Preparing for a Data Analyst Interview by DataCamp
- Tepper Wants to Nerd Out On Data With You by All Campus
This Week's Posts
- Free MLOps Crash Course for Beginners by Matthew Mayo
- 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem by Jeremiah Lowin
- How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services by Yuktesh Kashyap
- Decision Trees vs Random Forests, Explained by Natassha Selvaraj
- Online Training and Workshops with Nvidia by Nisha Arya
- What is Text Classification? by Kevin Vu
- Best Practices for Creating Domain-Specific AI Models by Cathy Feng
- An Introduction to Graph Neural Networks by Nagesh Singh Chauhan
- K-nearest Neighbors in Scikit-learn by Nisha Arya
- Trust in AI is Priceless by Edouard d'Archimbaud
- 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem by Jeremiah Lowin
From Around The Web
- A Comprehensive Introduction to Graph Neural Networks (GNNs) by Abid Ali Awan
- Startup vs Corporation. How Does Data Science Differ? by Matt Przybyla
- Image Augmentation with Keras Preprocessing Layers and tf.image by Adrian Tam
- Next Frontiers in Entertainment Data Science by Danny Kim, PhD
- Startup vs Corporation. How Does Data Science Differ? by Matt Przybyla
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