Daftar referensi tautan-tautan berguna untuk mempelajari tentang Data Science, Machine Learning, dan lainnya.
Reference list of useful links to learn about Data Science, Machine Learning and more.
Welcome to Introduction to Machine Learning for Coders! taught by Jeremy Howard
FOUNDATIONS OF MACHINE LEARNING by Bloomberg
Introduction to Machine Learning
Create machine learning models by Microsoft
Coursera : Machine Learning by AndrewNg
Stanford CS 229 ― Machine Learning
Coursera Machine Learning Foundations: A Case Study Approach
Introduction to Data Science and Machine Learning
The Missing Semester of Your CS Education by MIT
Stanford CS229: Machine Learning | Autumn 2018
Introduction to Machine Learning by Google
Tabular Data by Machine Learning University
Stat 451: Intro to Machine Learning (Fall 2020)
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
Guide to Awesome Machine Learning Projects
ML X ART creative machine learning experiments
ML Example Projects by Paperwithcode
Ten minutes to learn Linear regression for dummies!!!
Statistics 101: Linear Regression, The Very Basics 📈
The Simple Linear Regression Explanation
Machine Learning Decision Tree
Classification with TensorFlow
How to Get Started With Recommender Systems
Machine Learning and NLP for Students and Practitioners
Recommendations for Getting Started with NLP
Standford CS224n: Natural Language Processing with Deep Learning
How to use ML to search photos by natural language?
Tracking Progress in Natural Language Processing
Modern Deep Learning Techniques Applied to Natural Language Processing
A Survey of Surveys (NLP & ML)
A Recipe for Training Neural Networks
Convolutional Neural Nets: Foundations, Computations, and New Applications by Cornell University
Non-linearities in Neural Networks
MIT 6.S191 Introduction to Deep Learning
Literature of Deep Learning for Graphs
Deep Learning for Computer Vision
Lectures for UC Berkeley CS 285: Deep Reinforcement Learning.
Full Stack Deep Learning Youtube Channel
Python Basics : Learn Python Programming
Coursera Algorithms Specialization
FreeCodeCamp Introduction to Python for Everybody
Python Basic Exercise for Beginners
NumPy Illustrated: The Visual Guide to NumPy
Learning Python for Data Analysis and Visualization
Lectures of Linear Algebra with Python
Best-of Machine Learning with Python
Coursera Statistics with Python Specialization
Introduction to Linear Algebra for Applied Machine Learning with Python
Linear Regression for Absolute Beginners with Implementation in Python!
Ritchieng : Linear Algebra for Machine Learning
MIT Open Courseware : Linear Algebra
Mathematics for Machine Learning - Linear Algebra
StatQuest : Statistics Fundamentals
StatQuest : Linear Regression & Linear Model
An Intuitive Introduction to Probability
Probabilistic Machine Learning: An Introduction
EDX MathTrackX: Differential Calculus
Mathematics for Machine Learning - Multivariate Calculus by Imperial College London
The Matrix Calculus You Need For Deep Learning by Cornell University
Proof Index Mathematics Course
Computer Science courses with video lectures
10 Machine Learning Youtube Videos by Santiago
Coursera Introduction to Complex Analysis
Coursera Data Mining Specialization
Coursera Mathematics for Machine Learning Specialization
The Hundred Page Machine Learning Book
Ebook Programming Gratis by DeepTech
Mathematics for Machine Learning Ebook Pdf
Programming Recommendation Books
Rekomendasi Buku Python Bahasa Indonesia by DeepTech Twitter
Amazon Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Path to a free self-taught education in Data Science! by Open Source Society University
Course Recommendations for Introductory Machine Learning
Kumpulan kuliah bagus di Stanford untuk menjadi data scientist yang sakti mandraguna
Machine Learning, Deep Learning, and Computer Vision References
15 Trending Data Science GitHub Repositories you can not miss in 2017
10 Popular Data Science Resources on Github
Github Data-Science-References