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RemoteML:
category: Job Boards
tags: Work, Remote, Community
url: https://remoteml.com
description: "RemoteML is a global community and job board when it comes to Remote Jobs in Machine Learning. With over 1,800 subscribers, it is one of the biggest job boards in this space."
AI Jobs:
category: Job Boards
tags: Work
url: https://ai-jobs.net/
description: "On AI Jobs, there are listings for Machine Learning-related jobs on the whole world, as well as remote ones."
AngelList:
category: Job Boards
tags: Startups, Work
url: https://angel.co/
description: "AngelList is a main resource when it comes to startup jobs, networking and fundraising worldwide."
Towards Data Science:
category: News & Blogs
tags: News, Blog
url: https://towardsdatascience.com/
description: "Towards Data Science is a Medium publication centered around Data Science & Machine Learning"
AI Weekly:
category: News & Blogs
tags: Newsletter
url: http://aiweekly.co/
description: "A weekly newsletter about current media coverage of AI"
Deep Learning Weekly:
category: News & Blogs
tags: Newsletter
url: https://www.deeplearningweekly.com/
description: "A weekly newsletter about new findings, papers and explorations in Deep Learning"
The Algorithm:
category: News & Blogs
tags: Newsletter
url: https://go.technologyreview.com/newsletters/the-algorithm/
description: "MIT / Technology Review powered Newsletter about AI."
Import AI:
category: News & Blogs
tags: Blog, News
url: https://jack-clark.net/
description: "Jack Clark's (OpenAI) blog about AI."
Machine Learning Mastery:
category: News & Blogs
tags: Education, Blog
url: https://machinelearningmastery.com/blog/
description: "Good beginner resources & blog posts about Machine Learning projects and tops & tricks."
FastML:
category: News & Blogs
tags: Blog, Projects
url: http://fastml.com/
description: "Projects, Tips & Tricks about Data Science and Machine Learning."
Stats & Bots:
category: News & Blogs
tags: Blog
url: https://blog.statsbot.co/
description: "Data stories on machine learning and analytics"
Machine Learning Subreddit:
category: News & Blogs
tags: Reddit, Subreddit, news
url: https://www.reddit.com/r/machinelearning
description: "Subreddit based around Machine Learning."
Arxiv Stats:
category: Papers
tags: Academia, Papers
url: https://arxiv.org/list/stat.ML/recent
description: "The stats category of arXiv papers."
Arxiv Sanity Preserver:
category: Papers
tags: Academia, Papers, Tool
url: http://www.arxiv-sanity.com/
description: "Preserving sanity on arXiv, by using comments, upvotes and social virality filters."
Papers with Code:
category: Papers
tags: Code, Papers, Tool
url: https://paperswithcode.com/
description: "Papers categorized in subtopics, all with implementations and code added."
Machine Learning by Andrew Ng:
category: Courses
tags: Coursera, Course, Paid
url: https://www.coursera.org/learn/machine-learning
description: "One of the most popular Machine Learning courses, taught by Andrew Ng."
Machine Learning by ColumbiaX:
category: Courses
tags: edX, Course, Columbia, Paid
url: https://www.edx.org/course/machine-learning
description: "Essentials of Machine Learning algorithm"
Machine Learning A-Z:
category: Courses
tags: Udemy, Course, Paid
url: https://www.udemy.com/machinelearning/
description: "Hands-on Python course on Udemy, taught by Kirill Eremenko"
Intro to Machine Learning:
category: Courses
tags: Udacity, Course, Free
url: https://udacity.com/course/intro-to-machine-learning--ud120
description: "Basic Machine Learning Course on Udacity for free"
Machine Learning for Trading:
category: Courses
tags: Udacity, Georgia, Course, Free
url: https://udacity.com/course/machine-learning-for-trading--ud501
description: "Machine Learning applied to trading"
Grokking Deep Learning:
category: Books
tags: Deep Learning
url: https://www.manning.com/books/grokking-deep-learning
description: "A practical approach to Deep Learning, by Andrew Trask"
Deep Learning Book:
category: Books
tags: Deep Learning
url: https://www.deeplearningbook.org/
description: "The classic. Deep Learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville"
Neural Networks and Deep Learning:
category: Books
tags: Deep Learning
url: http://neuralnetworksanddeeplearning.com/
description: "Neural Networks and Deep Learning is a free online book about Neural Networks"
Deep Learning with Python:
category: Books
tags: Deep Learning
url: https://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438/
description: "Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library."
Hands-On Machine Learning:
category: Books
tags: Machine Learning
url: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291/
description: "Programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data."
Deep Learning - A Practitioner's Approach:
category: Books
tags: Deep Learning
url: https://www.amazon.com/Deep-Learning-Practitioners-Josh-Patterson/dp/1491914254/
description: "How can machine learning—especially deep neural networks—make a real difference in your organization?"
Dynamically Typed Newsletter:
category: News & Blogs
tags: Machine Learning, Newsletter
url: https://dynamicallytyped.com/
description: "A bi-weekly newsletter with thoughts and links on productized artificial intelligence, machine learning technology, and the tech/startup industry. Delivered to your inbox every second Sunday."
Skynet Today:
category: News & Blogs
tags: Blog, News
url: https://www.skynettoday.com/
description: "A site dedicated to providing accessible and informed coverage of the latest AI news and trends with news digest, briefs about major events, and in-depth editorials."
The Gradient:
category: News & Blogs
tags: Blog, News
url: https://thegradient.pub/
description: "A digital magazine that aims to democratize research in AI & ML with accessible and technically informed coverage of the most important new papers and perspectives on recent developments & long-term trends."
Distill:
category: News & Blogs
tags: Blog
url: https://distill.pub/
description: "An online Journal for preseting ML research in a a Clear, Dynamic and Vivid way."
Stanford AI Lab Blog:
category: News & Blogs
tags: Blog
url: https://ai.stanford.edu/blog/
description: "A place for SAIL students, faculty, and researchers to share their work with the general public."
Lil'Log:
category: News & Blogs
tags: Blog
url: https://lilianweng.github.io/lil-log/
description: "A blog summarizing multiple fields and topics in ML."
Introduction to Machine Learning with Python- A Guide for Data Scientists:
category: Books
tags: Machine Learning
url: https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413
description: "Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions"
Oxford Deep NLP:
category: Courses
tags: Oxford, Course, Free
url: https://github.com/oxford-cs-deepnlp-2017/
description: "Lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford."
Stanford UFLDL Tutorial:
category: Courses
tags: Stanford, Course, Free
url: http://deeplearning.stanford.edu/tutorial/
description: "This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning."
Stanford CS231n:
category: Courses
tags: Stanford, Course, Free
url: http://cs231n.stanford.edu/
description: "CS231n: Convolutional Neural Networks for Visual Recognition"
Stanford CS224d:
category: Courses
tags: Stanford, Course, Free
url: http://cs224d.stanford.edu/
description: "CS224d: Deep Learning for Natural Language Processing"
Colah's blog:
category: News & Blogs
tags: Blog
url: http://colah.github.io/
description: "A blog taking on specific topic in ML."
Fast.ai:
category: Courses
tags: Course, Free
url: https://www.fast.ai/
description: "Completely free and highly acclaimed Deep Learning courses."
NLP News:
category: News & Blogs
tags: Newsletter
url: http://ruder.io/nlp-news/
description: "Highly followed Natural Language Processing News"
Ruder's blog:
category: News & Blogs
tags: Blog
url: http://ruder.io/
description: "Great blog about Natural Language Processing."
Introduction to Deep Learning:
category: Courses
tags: Coursera, Course, Paid
url: https://www.coursera.org/learn/intro-to-deep-learning
description: "The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding."
ML Jobs Newsletter:
category: Job Boards
tags: Work, Startups
url: https://www.getrevue.co/profile/mljobs
description: "Sign up to receive this biweekly curated list of data science job openings at the best companies in the industry. Roles include data scientist, machine learning engineer, and research scientist positions."
Machine Learning with TensorFlow on Google Cloud Platform Specialization:
category: Courses
tags: Course, Paid
url: https://www.coursera.org/specializations/machine-learning-tensorflow-gcp?
description: "Learn ML with Google Cloud. Real-world experimentation with end-to-end ML."
Deep Learning Specialization:
category: Courses
tags: Course, Paid
url: https://www.coursera.org/specializations/deep-learning?
description: "Deep Learning Specialization. Master Deep Learning, and Break into AI"
Machine Learning Crash Course:
category: Courses
tags: Course, Free, TensorFlow
url: https://developers.google.com/machine-learning/crash-course/
description: "Google's fast-paced, practical introduction to machine learning"
MIT Deep Learning:
category: Courses
tags: MIT, Course, Free
url: https://deeplearning.mit.edu/
description: "This page is a collection of MIT courses and lectures on deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence taught by Lex Fridman"
A Course in Machine Learning:
category: Books
tags: Machine Learning
url: http://ciml.info/
description: "CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some."
VIP cheatsheets for Stanford's CS 229 Machine Learning:
category: Books
tags: Stanford, Machine Learning, Cheatsheets
url: https://github.com/afshinea/stanford-cs-229-machine-learning
description: "VIP cheatsheets for Stanford's CS 229 Machine Learning"
Amazon Machine Learning:
category: Courses
tags: Amazon, Course, Free
url: https://aws.amazon.com/pt/training/learning-paths/machine-learning/
description: "Dive deep into the same machine learning (ML) curriculum used to train Amazon’s developers and data scientists."
Amazon Machine Learning Data Scientist:
category: Courses
tags: Amazon, Course, Free
url: https://aws.amazon.com/training/learning-paths/machine-learning/data-scientist/
description: "This path is designed for learners skilled in math, statistics, and analysis who want become machine learning (ML) subject matter experts within their organization."
Microsoft Professional Program for Artificial Intelligence:
category: Courses
tags: Microsoft, Course, Free
url: https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/
description: "The AI track takes aspiring AI engineers from a basic introduction of AI to mastery of the skills needed to build deep learning models for AI solutions that exhibit human-like behavior and intelligence."
The Intel AI Developer Program:
category: Courses
tags: Intel, Course, Free
url: https://software.intel.com/en-us/ai
description: "Our learning hub, the Intel® AI Academy, offers a wealth of training and resources to developers, data scientists, students, and professors. Take self-paced courses, attend live workshops, and watch webinars on topics from general AI to deep learning and inference."
CS 188 | Introduction to Artificial Intelligence:
category: Courses
tags: Berkeley, Course, Free
url: https://inst.eecs.berkeley.edu/~cs188/fa18/
description: "This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm."
Deep Learning Tips and Tricks cheatsheet:
category: Books
tags: Stanford, Deep Learning, Cheatsheets
url: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks
description: "Deep Learning Tips and Tricks cheatsheet"
MIT 6.S099 Artificial General Intelligence:
category: Courses
tags: MIT, Course, Free
url: https://agi.mit.edu/
description: "This course is a series of lectures and conversations that explore the nature of human and machine intelligence from a variety perspectives."
The Hundred-Page Machine Learning Book:
category: Books
tags: Machine Learning, Deep Learning
url: http://themlbook.com/
description: "All you need to know about Machine Learning in a hundred pages"
Learning from Data:
category: Courses
tags: California, Course, Free
url: http://work.caltech.edu/telecourse.html
description: "Free, introductory Machine Learning online course (MOOC) - Taught by Caltech Professor Yaser Abu-Mostafa - Prerequisites: Basic probability, matrices, and calculus"
Deep Learning Papers Reading Roadmap:
category: Papers
tags: Academia, Papers, Tool
url: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
description: "If you are a newcomer to the Deep Learning area, the first question you may have is 'Which paper should I start reading from?' Here is a reading roadmap of Deep Learning papers!"
Machine Learning - 2014-2015:
category: Courses
tags: Oxford, Course, Free
url: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
description: "Machine Learning: 2014-2015"
TensorFlow From Basics to Mastery:
category: Courses
tags: Course, Paid, TensorFlow
url: https://www.deeplearning.ai/tensorflow-specialization/
description: "If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning."
Reinforcement Learning – An Introduction:
category: Books
tags: Reinforcement Learning
url: https://www.amazon.com/Reinforcement-Learning-Introduction-Richard-Sutton/dp/0262193981
description: "The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence."
MIT 6.S191 - Introduction to Deep Learning:
category: Courses
tags: Course, Free
url: https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
description: "MIT's introductory course on deep learning methods with applications to machine translation, image recognition, game playing, and more."
ML Jobs List:
category: Job Boards
tags: Work
url: https://mljobslist.com
description: "ML Jobs List is a machine learning job board which gets jobs from all over the internet, it has machine learning jobs from stackoverflow, github and other sites, Including itself."
Dataset List:
category: News & Blogs
tags: Dataset, List
url: https://www.datasetlist.com/
description: "A list of the biggest datasets for ML."
Awesome Machine Learning:
category: Courses
tags: Course, Book, Blog
url: https://github.com/josephmisiti/awesome-machine-learning
description: "A curated list of awesome machine learning frameworks, libraries and software (by language)"
victorzhou.com:
category: News & Blogs
tags: Blog, News
url: https://victorzhou.com/tag/machine-learning/
description: "A beginner-friendly blog on various ML topics."
BibTeX Citations for Python Packages:
category: Papers
tags: Academia, Papers, Tool
url: https://github.com/leonoverweel/bibtex-python-package-citations
description: "Collection of official citations for machine learning Python packages, to make it easier to cite things like PyTorch and Tensorflow when writing research papers."