Knowledge Base
Concepts
- Missing Value Treatment
- Data Scaling & Normalization
- Hypothesis Testing
- Parameter Optimization in Neural Networks
- Optimizer
- Search Strategies
Articles by other Authors
IIT Jodhpur MTech(Artificial Intelligence)
Semester 1 : https://github.com/saptarshidatta96/MTech_Sem1
Semester 2 : https://github.com/saptarshidatta96/MTech_Sem2
Classical Machine Learning
Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. It is the science of getting computers to act without being explicitly programmed.
Here are a few materials:
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Statistics Book - Business Statistics - A First Course by David M. Levine, David F. Stephan, Kathryn A. Szabat, P.K. Viswanatha
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Introduction to Probability and Statistics( For Scientists and Engineers)
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Head First Statistics by Dawn Griffiths - Available at Safari Books Online
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YouTube Channel - StatQuest with Josh Starmer is a good place to start.
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Introduction to Statistical Learning in R (ISLR) by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
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YouTube video series of ISLR
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The Hundred-Page Machine Learning Book by Andriy Burkov. This book will provide a concise understanding of various ML Algorithms. It comes with a wiki with additional information like Q&A, code snippets, further reading, tools, and other relevant resources. Having a prior understanding of various ML Techniques is advised.
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Python for Data Science. Taking some Udemy course will help.
Deep Learning
Deep Learning is a sub field of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
Here are a few materials:
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Deep Learning Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Deep Learning Specialization by Andrew Ng from Coursera
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
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DS-GA 1008 · SPRING 2020 · NYU CENTER FOR DATA SCIENCE - Link
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YouTube Playlist - Essence of Linear Algebra
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YouTube Playlist - MIT 18.06 Linear Algebra, Spring 2005 / Course Website
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DeepLizard.com provides end to end high quality tutorials on Deep Learing with Keras, TensorFlow and PyTorch. Make sure to watch it.
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YouTube playlist on Evolution of Object Detection Networks