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https://github.com/mhavelant/machine-learning-study-guide

Personal study guide, sources and additional things for learning about Machine Learning.
https://github.com/mhavelant/machine-learning-study-guide

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Personal study guide, sources and additional things for learning about Machine Learning.

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README 

        
# Machine Learning - study guide

This repo is going to contain a set of online courses according to planned order of completion 

and also likely some notes, solved tasks, etc. This is to help me in my efforts to learn about 

data science, machine learning and things like that.



The main goal is to get to a level where I can confidently and independently implement ML solutions for 

various problems, mainly with NNs and its variants.



## Additional research/courses needed

* conversation ux

* neuro linguistic programming

* chat as an interface

* chatbots for messenger, viber, etc.

* natural language processing



# Main roadmap

This list was compiled mainly from the coursera learning path for data scientist.

https://careers.coursera.org/data-scientist/



## Preparation

1. https://www.coursera.org/specializations/python

    1. https://www.coursera.org/learn/python

    1. https://www.coursera.org/learn/python-data

    1. https://www.coursera.org/learn/python-network-data

    1. https://www.coursera.org/learn/python-databases

    1. https://www.coursera.org/learn/python-data-visualization

1. https://www.udemy.com/complete-python-bootcamp/learn/v4/overview



## Beginner

1. https://www.udemy.com/datascience/learn/v4/overview 

1. https://www.coursera.org/learn/machine-learning/home/welcome

1. https://www.coursera.org/specializations/data-science-python

    1. https://www.coursera.org/learn/python-data-analysis

    1. https://www.coursera.org/learn/python-plotting

    1. https://www.coursera.org/learn/python-machine-learning

    1. https://www.coursera.org/learn/python-text-mining

    1. https://www.coursera.org/learn/python-social-network-analysis

1. https://www.coursera.org/learn/data-science-ethics

1. https://www.coursera.org/learn/sql-for-data-science 



## Intermediate / Advanced   

1. https://www.coursera.org/learn/neural-networks/home/welcome    

1. https://www.coursera.org/specializations/deep-learning

    1. https://www.coursera.org/learn/neural-networks-deep-learning

    1. https://www.coursera.org/learn/deep-neural-network

    1. https://www.coursera.org/learn/machine-learning-projects

    1. https://www.coursera.org/learn/convolutional-neural-networks

    1. https://www.coursera.org/learn/nlp-sequence-models  

    

1. https://www.coursera.org/specializations/jhu-data-science

    1. https://www.coursera.org/learn/data-scientists-tools

    1. https://www.coursera.org/learn/r-programming

    1. https://www.coursera.org/learn/data-cleaning

    1. https://www.coursera.org/learn/exploratory-data-analysis

    1. https://www.coursera.org/learn/reproducible-research

    1. https://www.coursera.org/learn/statistical-inference

    1. https://www.coursera.org/learn/regression-models

    1. https://www.coursera.org/learn/practical-machine-learning

    1. https://www.coursera.org/learn/data-products

    1. https://www.coursera.org/learn/data-science-project

    

1. https://www.coursera.org/specializations/aml    

    1. https://www.coursera.org/learn/intro-to-deep-learning

    1. https://www.coursera.org/learn/competitive-data-science

    1. https://www.coursera.org/learn/bayesian-methods-in-machine-learning

    1. https://www.coursera.org/learn/practical-rl

    1. https://www.coursera.org/learn/deep-learning-in-computer-vision

    1. https://www.coursera.org/learn/language-processing

    1. https://www.coursera.org/learn/hadron-collider-machine-learning



# Useful links

* https://www.kaggle.com/

    * Tutorials, datasets and community.

* https://www.floydhub.com/

    * Cloud-GPU training for cheap.



# Additional learning material 

## Courses

* https://www.udemy.com/machine-learning-course-with-python/learn/v4/overview

* https://www.udemy.com/machine-learning-with-tensorflow-for-business-intelligence/learn/v4/overview

* https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/learn/v4/overview

* https://www.udemy.com/machinelearning/learn/v4/overview



* https://www.udacity.com/course/machine-learning--ud262

* https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009

* https://www.udacity.com/course/artificial-intelligence-nanodegree--nd889 



* https://www.edx.org/course/statistical-thinking-data-science-columbiax-ds101x-1

* https://www.edx.org/course/machine-learning-data-science-analytics-columbiax-ds102x-1

* https://www.edx.org/course/natural-language-processing-nlp-microsoft-dev288x

* https://www.edx.org/course/data-science-essentials-microsoft-dat203-1x-6

* https://www.edx.org/course/applied-machine-learning-microsoft-dat203-3x-4

* https://www.edx.org/course/principles-machine-learning-microsoft-dat203-2x-6



* https://www.coursera.org/learn/datasciencemathskills 

* http://www.cs.cmu.edu/~tom/10701_sp11/ 



* https://www.coursera.org/specializations/interaction-design

* https://www.coursera.org/specializations/machine-learning  

* https://www.coursera.org/specializations/big-data 

* https://www.coursera.org/specializations/data-science 

* https://www.coursera.org/specializations/introduction-scripting-in-python 

* https://www.coursera.org/specializations/executive-data-science 

* https://www.coursera.org/specializations/pwc-analytics 

* https://www.coursera.org/specializations/probabilistic-graphical-models 



* https://www.autonlab.org/tutorials 

* https://work.caltech.edu/telecourse.html 

* https://www.udacity.com/courses/data-science



## Online degree

* https://www.coursera.org/degrees/masters-in-computer-data-science



## Books

* http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.html



## Learning paths, course suggestions 

* https://blog.udacity.com/2016/04/5-skills-you-need-to-become-a-machine-learning-engineer.html

* https://medium.freecodecamp.org/i-ranked-all-the-best-data-science-intro-courses-based-on-thousands-of-data-points-db5dc7e3eb8e

* https://medium.freecodecamp.org/if-you-want-to-learn-data-science-start-with-one-of-these-programming-classes-fb694ffe780c

* https://medium.com/machine-learning-world/learning-path-for-machine-learning-engineer-a7d5dc9de4a4

* https://medium.freecodecamp.org/every-single-machine-learning-course-on-the-internet-ranked-by-your-reviews-3c4a7b8026c0

* https://www.analyticsvidhya.com/learning-path-learn-machine-learning/

* https://machinelearningmastery.com/what-if-i-dont-have-a-degree/

* https://www.analyticsvidhya.com/blog/2015/08/data-science-bootcamps-machine-learning-certifications/

* https://github.com/ossu/data-science

* https://github.com/ZuzooVn/machine-learning-for-software-engineers

* https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap

* https://github.com/mihui/ml

* https://github.com/taolicheng/Deep-Learning-Learning-Path



# Miscellaneous links

* https://www.coursera.org/enterprise

* https://www.coursera.org/browse/data-science?languages=en

* https://www.edx.org/course/subject/computer-science/python 

* https://www.class-central.com 

* https://medium.freecodecamp.org/introducing-freecodecamp-talks-awesome-tech-talks-you-can-watch-for-free-55e5d96e2fa5

* https://www.coursera.org/specializations/seo

* https://www.coursera.org/specializations/genomic-data-science 

* https://www.coursera.org/specializations/statistics