Learn how Distance Metrics can loose their meaning and function in High Dimensions 🧊

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Photo by Daniele Levis Pelusi on Unsplash

0) Introduction


Struggling to dominate and understand Deep Learning? Start from scratch with this amazing book!

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‘Everything should be made as simple as possible, but not simpler’ Albert Einstein.

Introduction and motivation


Learn how to use Random Forest models to calculate the importance of the features in your Data

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Image from Source.

0) Introduction

1) Why Feature Importance is Relevant


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Image from Source.

How to optimise one of the most used Machine Learning models


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Image from Unsplash.

[Random Forest explained simply: An easy Introduction to Training, Classification, and Regression]

Awesome Machine Learning Resources:- For learning resources go to How to Learn Machine Learning! 
- For
professional resources (jobs, events, skill tests) go to AIgents.co …


Applications, practices, and business insights of the three toughest bandits of Machine Learning

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Image from Unsplash


What is Transfer Learning? Where can I use it? Why should I use it? How can I use it? Read On to find out!

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Image from Unsplash

Introduction

TL;DR!

  1. What is transfer learning?
  2. Why is transfer learning awesome?
  3. When should I use transfer learning?
  4. How can I use transfer learning?
  5. Conclusion and further resources.

1) What is Transfer Learning?


Fresh updates of yet another venture by Elon Musk

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What’s the difference? Learn it and never forget it with an easy example!

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Image from Unsplash

What is a probability?


How to evaluate the results and improve the performance of your Machine Learning models

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About

Jaime Zornoza

Data Science, Machine Learning & Life. https://howtolearnmachinelearning.com/

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