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8 Fiction Books For Linux and Open Source Fans

• Cryptonomicon
• Microserfs
• The Tao of Pooh
• The Golem and the Jinni
• The Rise of the Meritocracy
• Throne of the Crescent Moon
• Walkaway
• Who Moved My Cheese?

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"I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted."

― Alan Turing

Machine learning and data mining
Problems Classification Clustering Regression Anomaly detection AutoML Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank Grammar induction
Supervised learning (classification • regression) Decision trees Ensembles  Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Expectation–maximization (EM) DBSCAN OPTICS Mean-shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE
Structured prediction Graphical models  Bayes net Conditional random field Hidden Markov
Anomaly detection k-NN Local outlier factor
Artificial neural network Autoencoder Deep learning DeepDream Multilayer perceptron RNN  LSTM GRU ESN Restricted Boltzmann machine GAN SOM Convolutional neural network  U-Net Transformer Spiking neural network
Reinforcement learning Q-learning SARSA Temporal difference (TD)
Theory Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues NeurIPS ICML ML JMLR ArXiv:cs.LG
Glossary of artificial intelligence
List of datasets for machine-learning research

 

ML Readings

• Multilingual Models for Compositional Distributed Semantics
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
• Natural Language Processing (Almost) from Scratch
• Recurrent Continuous Translation Models
• Persistent RNNs: Stashing Recurrent Weights On-Chip
• Studies in Linguistic Analysis
• From Distributional to Semantic Similarity
• Multimodal Neural Language Models
• Two/Too Simple Adaptations of Word2Vec for Syntax Problems
• A fast and simple algorithm for training neural probabilistic language models
• NeuralWord Embedding as Implicit Matrix Factorization
• A Scalable Hierarchical Distributed Language Model
• Distributed Representations ofWords and Phrases and their Compositionality
• BLEU: a Method for Automatic Evaluation of Machine Translation
• On the difficulty of training recurrent neural networks
• Semantic Compositionality through Recursive Matrix-Vector Spaces
• Visualizing Data using t-SNE
• Markov logic networks
• Extremely randomized trees
• The max-min hill-climbing Bayesian network structure learning algorithm
• Reducing the Dimensionality of Data with Neural Networks
• Extreme learning machine: Theory and applications
• The DLV System for Knowledge Representation and Reasoning
• A GA-based feature selection and parameters optimization for support vector machines
• A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
• Polychronization: Computation with Spikes
• On computable numbers, with an application to the Entscheidungsproblem
• Learning to Predict by the Methods of Temporal Differences
• Computing Machinery and Intelligence
• A logical calculus of the ideas immanent in nervous activity
• What the Frog's Eye Tells the Frog's Brain
• Steps Toward Artificial Intelligence
• Why Should Machines Learn?
• A Theory of the Learnable
• Intelligence without representation
• Natural Gradient Works Efficiently in Learning
• A Neural Substrate of Prediction and Reward
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• The Code for Facial Identity in the Primate Brain
• Learning Deep Architectures for AI
• On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning
• Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

Public Domain Books

• An Inquiry into the Nature and Causes of the Wealth of Nations
• Mysticism and Logic and Other Essays
• On the Origin of Species
• Flatland: A Romance of Many Dimensions
• Eugenics and Other Evils
• The Einstein Theory of Relativity
• The Murder on the Links: A Hercule Poirot Mystery
• The prospects of industrial civilization
• Antic Hay
• Twenty Years After
• An Antarctic Mystery
• THE PROPHET
• War and Peace
• Jacob's Room
• The Most Dangerous Game
• Tarzan and the Golden Lion
• Kangaroo
• Rootabaga Stories
• The Inimitable Jeeves
• A Son at the Front
• The World Crisis, Volume I (of VI)
• An American Tragedy
• The Waves

Creative Commons Licensed Books

• The Briefer History of Time From Big Bang to the Big Mac
• Alice's Adventures in Wonderland
• The Future of Ideas: The Fate of the Commons in a Connected World
• Move Under Ground
• The Art of Unix Programming
• Through the Looking-Glass, and What Alice Found There
• The Future of the Internet and How to Stop It
• Warbreaker
• Little Brother
• The New Hacker's Dictionary
• Blindsight
• Code: Version 2.0
• Remix: Making Art and Commerce Thrive in the Hybrid Economy
• The Wealth of Networks
• Stranger Things Happen