3. Designing Machine Learning Systems One of the best out there on MLOps. Covers the best practices that must be followed while building large ML systems.
@sumanth_077
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Machine Learning For Absolute Beginners Book Introduction
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2. Machine Learning For Absolute Beginners You don't require prior knowledge of coding, math, or statistics. This is a complete beginner-friendly book https://
engbookspdf.net/machine-learni
ng-for-absolute-beginners-2nd-edition/
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Deep Learning Book by Goodfellow Bengio and Courville Recommendation
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1. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville This is the best book for Deep Learning. Right from linear algebra and probability to advance concepts in deep learning, this book will cover you all https://
deeplearningbook.org -
Five Essential Books for Data Science and Machine Learning
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5 great books if you are into Data Science and Machine Learning:
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Vector Databases Explained: Key for LLM Data Retrieval
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Vector Databases clearly explained! Vector Databases are really key when it comes to working with LLMs which helps in faster retrieval and process of the data. If you are not sure what exactly it is, here's a detailed introduction. Let's start with Vector Embeddings:
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Free MIT Linear Algebra Course for Machine Learning Foundations
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Arguably, the best Linear Algebra course out there for Machine Learning! Taught by MIT's Professor Gilbert Strang. And it's FREE! Build a strong foundation in mathematics for machine learning: https://
youtube.com/playlist?list=
PL221E2BBF13BECF6C
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Python, Machine Learning, MLOps, CV/NLP, LLMs tutorials daily
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If you are interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs Find me → @Sumanth_077 Everyday, I share tutorials on above topics! Like/RT the first tweet to help this reach more people!
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Machine Learning for Beginners: Complete Guide to ML Techniques and Projects
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3. Machine Learning for Beginners This covers and helps you learn: – Various ML Techniques
– Building your first ML Project right from data collection to create a web app for a trained model
– NLP Techniques
– Times Series
– Reinforcement Learning https://
microsoft.github.io/ML-For-Beginne
rs/#/
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Data Science for Beginners: Complete Learning Guide and Fundamentals
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2. Data Science for Beginners This covers and helps you learn: – Data Science Basics & Ethics
– Statistics
– SQL & NOSQL
– Data Preparation & Visualization
– Data Analysis
– Complete Data Science Lifecycle Check this out: https://
microsoft.github.io/Data-Science-F
or-Beginners/#/
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AI for Beginners: NLP, Computer Vision, and Key Terminologies
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1. AI for Beginners Get a basic idea of what it is like to get into AI. – Terminologies
– Basics of NLP
– Basics of Computer Vision https://
microsoft.github.io/AI-For-Beginne
rs/
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