Machine Learning Essentials (Research Papers and Cheatsheets)

Created on Sep 24, 2018

Resources for someone who's got a hang of what Machine Learning is but is still trying to find his way to the top.


Machine Learning Essentials (Research Papers and Cheatsheets)

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Vidyadhar's Profileβ˜…
6

1

A Few Useful Things to Know about Machine Learning

πŸ”— (http://bit.ly/2MVPJkU)

This paper summarizes twelve key lessons that machine learning researchers and practitioners have learned. These include pitfalls to avoid, important issues to focus on, and answers to common questions.

2

What are some must read papers on machine learning for a beginner?

πŸ”— (http://bit.ly/2zC0zZT)

Vishal Sharma's answer: My answer assumes you are a beginner in Machine Learning and have some understanding of Statistics, Probability and Calculus.

3

Getting started with reading Deep Learning Research papers: The Why and the How

πŸ”— (https://towardsdatascience.com/g...)

How do you continue the learning after you have consumed that book or completed that amazing online course on Deep Learning? How do you…

4

23 Deep Learning Papers To Get You Started β€” Part 1

πŸ”— (https://medium.com/@rupak.thakur...)

Deep Learning has probably been the single-most discussed topic in the academia and industry in recent times. Today, it is no longer…

5

The most cited deep learning papers.

πŸ”— (https://github.com/terryum/aweso...)

The most cited deep learning papers. Contribute to terryum/awesome-deep-learning-papers development by creating an account on GitHub.

6

Machine Learning Cheat Sheets

πŸ”— (https://github.com/afshinea/stan...)

Cheat sheets for machine learning are plentiful. Quality, concise technical cheat sheets, on the other hand... not so much. A good set of resources covering theoretical machine learning concepts would be invaluable.


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