Self-Learning

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Study Material

Basic

• [ ] Linear Algebra Gilbert Strang
• [ ] Probability & Statistics basics
• [ ] Hands On Machine learning Book
• [ ] Piyush Rai Slides, IIT-K
• [ ]

Advanced

• [ ] Elements of Statistical Learning Theory
• [ ] Pattern Recognition & Machine Learning .Bishop
• [ ] Deep learning .Goodfellow
• [ ] Reinforcement Learning
• [ ] Time Series
• [ ]

DeepLearning.Ai

• [ ] Deep Learning Specialization
• [ ] Tensorflow in Practice
• [ ] Tensorflow: Data & Deployment
• [ ] AI for Everyone

YouTube Courses

• [ ] 3Blue1Brown (LA, Calculus, DiffEq, Neural Networks)
• [ ] Advanced Deep & Reinforcement Learning
• [ ] Reinforcement Learning - David Silver

MIT-OCW

• [ ] Linear Algebra
• [ ] Introduction to Probability
• [ ] Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
• [ ] Introduction to Algorithms
• [ ] Design and Analysis of Algorithms

NPTEL

• [ ] Numerical Optimization
• [ ] Pattern Recognition and Neural Networks

Stanford

• [ ] Natural Language Understanding
• [ ] NLP with Deep Learning
• [ ] Deep Learning
• [ ] Reinforcement Learning

Projects

• [ ] Image Classification
• [ ] SISR, CAR, Denoising
• [ ] Sentiment Analysis/Classification
• [ ] Adversarial Machine Learning
• [ ] Style Transfer/Generation
• [ ] Time Series Forecasting
• [ ] Cardinality Estimation
• [ ]
• [ ] Question Answering
• [ ] Speech Synthesis
• [ ] Text to SQL
• [ ] Audio Source Separation
• [ ]
• [ ]

conda update conda
conda create -n py38 python=3.8
conda activate py38
conda install numpy scipy sympy matplotlib seaborn holoviews panel bokeh pandas scikit-learn scikit-image pillow ipython jupyter numba joblib dask dask-ml h2o django flask gevent requests lightgbm catboost nltk imbalanced-learn
pip install --upgrade opencv-python streamlit jupyter_http_over_ws xgboost
pip install --upgrade tensorflow keras-tuner
conda update --all

import tensorflow as tf
tf.config.list_physical_devices('GPU')

jupyter serverextension enable --py jupyter_http_over_ws
jupyter notebook --NotebookApp.allow_origin='https://colab.research.google.com' --port=6006 --NotebookApp.port_retries=0

conda create -n py38 python=3.8 --no-default-packages
conda remove -n py38 --all

conda install -c anaconda-nb-extensions nb_conda
conda install -c anaconda psycopg2

# Teamviewer Not Launching in Ubuntu18.04
systemctl restart teamviewerd

python 

SciPy Stack (Numpy, Matplotlib, Pandas, SymPy & Scipy Included)

https://scipy.org

SEABORN (Powerful pretty plotting library)

https://seaborn.pydata.org

Scikit-Learn (Standard ML and many algorithms implemented)

https://scikit-learn.org/stable/

High-level Neural Network API (Yet customizable)

https://keras.io

Visualising Neural Network Training, Computation graph and a lot

https://www.tensorflow.org/tensorboard

Backend for Keras, Powerful tool for ML/DL & Simulation research

https://www.tensorflow.org

Distributed load balanced data handling (over-system & clusters)

https://dask.org

ML implementation of Most Scikit-learn Algorithms, highly scalable

https://ml.dask.org

Great examples on how to use DASK

https://examples.dask.org

Machine learning, Data processing & more on Nvidia GPU

https://rapids.ai

Building High level data apps with Ease

https://www.streamlit.io

TF projector for visualization with Dimensionality reduction

https://projector.tensorflow.org

Creating VMs (Infra+Platform) over GCP

https://console.cloud.google.com/getting-started

Codelabs provide a Step-wise, learning tutorials, hands-on coding experience. To build a small application OR adding features into existing application

https://codelabs.developers.google.com

Connecting Google colab notebooks to local runtime

https://research.google.com/colaboratory/local-runtimes.html

Connecting Google Colab to Local Runtime

pip install jupyter_http_over_ws

jupyter serverextension enable --py jupyter_http_over_ws

jupyter notebook
--NotebookApp.allow_origin='https://colab.research.google.com'
--port=6006
--NotebookApp.port_retries=0

https://github.com/quantopian/zipline https://github.com/EliteQuant/EliteQuant https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Windows/Linux Utility Software

• [ ] 7-zip
• [ ] Adobe Reader DC
• [ ] Anaconda3
• [ ] AnyDesk
• [ ] AOMEI Partition Wizard
• [ ] CISCO AnyConnect
• [ ] Dev-C++
• [ ] Free Download Manager
• [ ] Git
• [ ] Google Chrome
• [ ] Java SDK
• [ ] MS Office/One-Drive
• [ ] VS Code
• [ ] Mozilla Firefox
• [ ] PostgreSQL
• [ ] PowerISO
• [ ] Putty
• [ ] Samsung Magician
• [ ] Spotify
• [ ] Sublime Text 3
• [ ] TeamViewer
• [ ] Universal ADB driver for Vysor
• [ ] VLC Media Player
• [ ] WinRAR
• [ ] WinSCP

Hobby-Projects