https://github.com/llSourcell/Machine_Learning_Journey

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube
https://github.com/llSourcell/Machine_Learning_Journey

Last synced: 9 days ago
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This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube

• Host: GitHub
• URL: https://github.com/llSourcell/Machine_Learning_Journey
• Owner: llSourcell
• Created: 2018-07-02T01:44:06.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-02T23:17:08.000Z (about 6 years ago)
• Last Synced: 2024-08-01T09:23:39.639Z (3 months ago)
• Size: 43.9 KB
• Stars: 972
• Watchers: 213
• Forks: 255
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Machine_Learning_Journey

## Overview

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube. It starts with [this](https://youtu.be/nMK94JlKRb4) video on Youtube.

## Week 1 - Portfolio Design

- [Creating a Great resume](https://youtu.be/nMK94JlKRb4)

- [Social Media For Engineers](https://www.youtube.com/watch?v=PulyGf6trOk&lc=UgwAEMZ65ziPHvo5NV14AaABAg)

- [How does GitHub work?](https://youtu.be/Loav1kbA640)

- [Live Stream (Q&A)](https://www.youtube.com/watch?v=Zok0TPU0L4M)

## Week 2 - Mathematics

- [Backpropagation Explained](https://www.youtube.com/watch?v=FaHHWdsIYQg)

- [Loss Functions Explained](https://www.youtube.com/watch?v=IVVVjBSk9N0)

- [Research Paper to Code](https://youtu.be/pQyzdwHBbqo)

- [100 Days of ML Code Challenge](https://www.youtube.com/watch?v=cuQMBj1cWPo)

## Week 3 - Stock Price Prediction

- [How to Build a Trading Bot](https://www.youtube.com/watch?v=F2f98pNj99k)

- [Stock Price Prediction using Reinforcement Learning](https://www.youtube.com/watch?v=05NqKJ0v7EE)

- [Convolutional Networks Applied to Time Series Data](https://www.youtube.com/watch?v=5Uw1iSwvHH8)

- [Your First Machine Learning API](https://www.youtube.com/watch?v=YJyRBPz4CoM)

## Week 4 - Machine Learning in Practice

- [AWS Explained](https://www.youtube.com/watch?v=zkzED9HvMG0&feature=youtu.be)

- [Completing a Kaggle Competition](https://www.youtube.com/watch?v=suRd3UzdBeo&t=2245s)

- [Google Cloud Explained](https://www.youtube.com/watch?v=tdhVXKf_WSs)

- [Azure Explained](https://github.com/llSourcell/azure_machine_learning)

## Week 5 - Machine Learning Languages

- [Best Programming Language for Machine Learning](https://www.youtube.com/watch?v=-cdxxrbKdho)

- [Logistic Regression in Python](https://www.youtube.com/watch?v=H6ii7NFdDeg)

- [Building an ML app with NodeJS](https://www.youtube.com/watch?v=CMank9YmtTM)

- [School of AI Introduction](https://www.youtube.com/watch?v=8yu8rtXThy8)

## Week 6 - Modern Day Research

- [Neural Arithmetic Logic Units](https://www.youtube.com/watch?v=v9E7Wg0dHiU)

- [OpenAI Five](https://www.youtube.com/watch?v=DzzFSyzv1p0)

- [AlphaGo Zero](https://www.youtube.com/watch?v=UzYeqAJ2bA8&t=204s)

- [PyTorch Live Stream](https://www.youtube.com/watch?v=TvwYV0viIQE)

## Week 7 - Studying Practices

- [How to Study ML](https://www.youtube.com/watch?v=waXHrc2m9K8)

- [How to Teach ML](https://www.youtube.com/watch?v=tczjZOLVjJM)

- [Finding a Local Study Group](https://www.youtube.com/watch?v=_7TvMA_w8xw)

- [Interview with AI researcher](https://youtu.be/RsOpnFbufcY)

## Week 8 - Advanced Topics

- [Quantum Machine Learning](https://www.youtube.com/watch?v=DmzWsvb-Un4)

- [Low Level Optimization](https://youtu.be/giF8XoPTMFg)