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A to Z Resources for Students Awesome

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Machine Learning, Deep Learning, Artificial Intelligence

Table of Contents

  1. Machine Learning

    - Where to Start in ML ? - Online Courses - Research Paper - Top Github Repositories - Linear Regression from scratch - Logistic Regression from scratch - Stanford Statistical Learning Course - Machine Learning by Georgia Tech - free course

  2. Deep Learning

    - Where to Start in DL? - Online Courses - Research Paper - Top Github Repositories - Deep Learning by Google - free course - Colah's Blog on Deep Learning

  3. DataSets

  4. Data Science Conference

  5. Celebrities in ML and AI world

  6. Tips for ML & AI enthusiasts

  7. Pandas - Pandas Cheat Sheet - Pandas Tutorial | Kaggle - https://www.shanelynn.ie/summarising-aggregation-and-grouping-data-in-python-pandas/

  8. Online Mathematical Resources - Create staright line by slope and y-intercept

  9. Frameworks -Tensorflow -Caffe -Caffe2 -Torch -Pytorch -Keras


1. Machine Learning

1.1 Where to Start in ML?

1) Python

- Basics of Python - More in Python - Python for ML

2) Maths for ML - Statistics and Probability - Partial Derivatives - Derivatives - Linear Algebra

3) Intro to ML

2. Deep Learning

2.1 Where to Start in DL?

1) Online Courses

- Start@Fast.ai - Deep Learning Specialization - Machine Learning Andrew Ng - Advanced ML Specialization - Introduction to Machine Learning - Reinforcement Learning - Machine Learning A-Z - Deep Learning A-Z - Data Science A-Z

3. DataSets

Beginners - MNIST Dataset for Digit Recogniser - CIFAR-10 for Image Recognition (170 MB) - Fashion-MNIST Dataset a Fashion Images Dataset (30 MB) - SENTIMENT140 for sentiment analysis (80 MB) - PREDICTING PULSAR STAR FROM HTRU2 DATASET_(771 KB) - Labelled faces in wild (280 MB)

Advanced - 55000 song Lyrics CSV file - Gender Recognition by Voice — audio frequency statistics - Ted-Talks - csv

COMING SOON

5. Celebrities in ML and AI world