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Viewing stevetao's Bookmarks
Lekan (Radiotherapy, Machine Learning)
[http://scriptedonachip.com/] -
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stevetao
Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers
[https://www.hindawi.com/journals/complexity/2020/8694796/] -
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stevetao
Learning Machine Learning | Cloud AI | Google Cloud
[https://cloud.google.com/products/ai/ml-comic-1] -
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stevetao
Main Types of Neural Networks and its Applications — Tutorial | Towards AI
[https://medium.com/towards-artificial-intelligence/main-types-of-neural-networks-and-its-applications-tutorial-734480d7ec8e] -
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stevetao
Towards understanding glasses with graph neural networks | DeepMind
[https://deepmind.com/blog/article/Towards-understanding-glasses-with-graph-neural-networks] -
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stevetao
A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage) | by Kung-Hsiang, Huang (Steeve) | Towards Data Science
[https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3] -
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stevetao
Frontiers | The Role of Machine Learning in Knowledge-Based Response-Adapted Radiotherapy | Oncology
[https://www.frontiersin.org/articles/10.3389/fonc.2018.00266/full] -
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stevetao
7 ขั้นตอนในการเรียนรู้ Deep Learning สำหรับผู้เริ่มต้น | by Athiwat | Machines School | Medium
[https://medium.com/machines-school/7-%E0%B8%82%E0%B8%B1%E0%B9%89%E0%B8%99%E0%B8%95%E0%B8%AD%E0%B8%99%E0%B9%83%E0%B8%99%E0%B8%81%E0%B8%B2%E0%B8%A3%E0%B9%80%E0%B8%A3%E0%B8%B5%E0%B8%A2%E0%B8%99%E0%B8%A3%E0%B8%B9%E0%B9%89-deep-learning-%E0%B8%AA%E0%B8%B3%E0%B] -
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stevetao
Artificial Intelligence, Machine Learning, และ Deep Learning แตกต่างกันอย่างไร? | by Athiwat | Machines School | Medium
[https://medium.com/machines-school/artificial-intelligence-machine-learning-%E0%B9%81%E0%B8%A5%E0%B8%B0-deep-learning-%E0%B9%81%E0%B8%95%E0%B8%81%E0%B8%95%E0%B9%88%E0%B8%B2%E0%B8%87%E0%B8%81%E0%B8%B1%E0%B8%99%E0%B8%AD%E0%B8%A2%E0%B9%88%E0%B8%B2%E0%B8%87%E] -
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stevetao
CS231n Convolutional Neural Networks for Visual Recognition
[https://cs231n.github.io/convolutional-networks/#overview] -
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stevetao
The mostly complete chart of Neural Networks, explained | by Andrew Tch | Towards Data Science
[https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464] -
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stevetao
Cheat Sheets for AI, Machine Learning, Neural Networks, Big Data & Deep Learning - Thinkport
[https://thinkport.digital/cheat-sheets-for-ai-machine-learning-neural-networks-big-data-deep-learning/] -
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stevetao
Dive into Deep Learning — Dive into Deep Learning 0.15.0 documentation
[https://d2l.ai/?fbclid=IwAR3GO88NuTbAgsChjxljOsUwoo7SpdPkJmBU3ZKuknjQ6hCq9MdvS9DzKLU] -
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stevetao
Python Data Science Handbook | Python Data Science Handbook
[https://jakevdp.github.io/PythonDataScienceHandbook/] -
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stevetao
The Neural Network Zoo - The Asimov Institute
[https://www.asimovinstitute.org/neural-network-zoo/] -
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stevetao
Intuitive RL (Reinforcement Learning): An Introduction to Advantage-Actor-Critic (A2C)
[https://weekly-geekly.github.io/articles/442522/index.html] -
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stevetao
Machine Learning Crash Course | Google Developers
[https://developers.google.com/machine-learning/crash-course/] -
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stevetao
Machine Learning with Python - Logistic Regression - Artificial Intelligence in Motion
[http://aimotion.blogspot.com/2011/11/machine-learning-with-python-logistic.html] -
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stevetao
Machine Learning Exercises In Python, Part 3
[https://www.johnwittenauer.net/machine-learning-exercises-in-python-part-3/] -
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stevetao
How to Learn Machine Learning, The Self-Starter Way
[https://elitedatascience.com/learn-machine-learning] -
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stevetao
Beat Atari with Deep Reinforcement Learning! (Part 1: DQN)
[https://becominghuman.ai/lets-build-an-atari-ai-part-1-dqn-df57e8ff3b26] -
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stevetao
GitHub - jaromiru/AI-blog: Accompanying repository for Let's make a DQN / A3C series.
[https://github.com/jaromiru/AI-blog] -
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stevetao
An intro to Advantage Actor Critic methods: let’s play Sonic the Hedgehog!
[https://medium.freecodecamp.org/an-intro-to-advantage-actor-critic-methods-lets-play-sonic-the-hedgehog-86d6240171d] -
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stevetao
The Neural Network Zoo - The Asimov Institute
[http://www.asimovinstitute.org/neural-network-zoo/?utm_content=buffer607bd&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer] -
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stevetao
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | H3ll0 Un1v3rse
[http://hellowuniverse.com/2017/09/15/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data/] -
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stevetao
What are some of the seminal papers on deep learning? - Quora
[https://www.quora.com/What-are-some-of-the-seminal-papers-on-deep-learning] -
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stevetao
TensorFlow Tutorial: Deep Learning for Beginner’s
[https://www.guru99.com/tensorflow-tutorial.html] -
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stevetao
CartPole v0 · openai/gym Wiki · GitHub
[https://github.com/openai/gym/wiki/CartPole-v0] -
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stevetao
Free Book on Neural Network : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-books-on-neural-network-artificial-intelligence/] -
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stevetao
Free Computer Science eBooks Online : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-computer-science-ebooks-online-artificial-intelligence/] -
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stevetao
Gaussian Processes for Machine Learning: Contents
[http://www.gaussianprocess.org/gpml/chapters/] -
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stevetao
The Future of Machine Intelligence [Book]
[https://www.oreilly.com/library/view/the-future-of/9781492042334/?intcmp=il-data-free-lp-lgen_free_reports_page] -
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stevetao
Machine Learning for Designers [Book]
[https://www.oreilly.com/library/view/machine-learning-for/9781491971444/] -
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stevetao
Applied Machine Learning in Python with scikit-learn — scikit-learn tutorial v0.7+ documentation
[http://gael-varoquaux.info/scikit-learn-tutorial/] -
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stevetao
Reinforcement Learning | IntechOpen
[https://www.intechopen.com/books/reinforcement_learning] -
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stevetao
Machine Learning, Neural and Statistical Classification
[http://www1.maths.leeds.ac.uk/~charles/statlog/] -
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stevetao
Mark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learningMark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learning
[http://markwatson.com/books/] -
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stevetao
A Course in Machine Learning
[http://ciml.info/] -
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stevetao
Machine Learning Yearning
[http://www.mlyearning.org/] -
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stevetao
Deep Learning
[http://www.deeplearningbook.org/] -
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stevetao
Bayesian Methods for Hackers
[http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/] -
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stevetao
Understanding Machine Learning
[http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/] -
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stevetao
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
[https://web.stanford.edu/~hastie/ElemStatLearn/index.html] -
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stevetao
10 Free Must-Read Books for Machine Learning and Data Science
[https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html] -
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stevetao
Dissecting Reinforcement Learning-Part.1
[https://mpatacchiola.github.io/blog/2016/12/09/dissecting-reinforcement-learning.html] -
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stevetao
How to fix reinforcement learning
[https://thegradient.pub/how-to-fix-rl/] -
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stevetao
Reinforcement learning’s foundational flaw
[https://thegradient.pub/why-rl-is-flawed/] -
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stevetao
Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning
[https://towardsdatascience.com/advanced-reinforcement-learning-6d769f529eb3] -
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stevetao
GitHub - ShangtongZhang/reinforcement-learning-an-introduction: Python Implementation of Reinforcement Learning: An Introduction
[https://github.com/ShangtongZhang/reinforcement-learning-an-introduction] -
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stevetao
Develop Your First Neural Network in Python With Keras Step-By-Step
[https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/] -
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stevetao
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