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Data Science
Have Fun with Machine Learning: A Guide for Beginners

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Data Science
Math for Programmers, Version 10 - 2020

Github

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Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection - 2019

⬇️ Book

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Data Mining. Practical Machine Learning Tools and Techniques, Fourth Edition

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Data Science
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📘 D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions

Github: https://github.com/d2l-ai/d2l-en

Book: https://d2l.ai/

Paper: https://arxiv.org/abs/2106.11342v1

@ai_machinelearning_big_data
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Ultimate Step by Step Guide to Machine Learning Using Python - 2020

📖 Book

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Python Data Analysis, Third Edition - 2021

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Python for Algorithmic Trading: From Idea to Cloud Deployment
Yves Hilpisch (2021)

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Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (2021)

Github

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Hands-On Python Natural Language Processing - 2020

📖 Github

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R and Python for oceanographers

⬇️ Book

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Machine learning mathematics - 2020

📖 Book

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Deep Learning with JavaScript. Neural Networks in TensorFrow.js

BOOK

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Angular and Machine Learning. Pocket Primer - 2020

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Healthcare Analytics Made Simple

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Stanfords INTRODUCTION TO MACHINE LEARNING

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Forwarded from 📚Python Books
Python cheat sheet.pdf
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Python cheat sheet

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Coursera's Deep Learning course Notes by Andrew Ng

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Шпаргалка NumPy.pdf
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NumPy Cheatsheets

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Foundations Of Data Science

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Learning GANs Roadmap.pdf
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Generative Adversarial Networks (GANs) Roadmap

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