Free Book: Statistics — New Foundations, Toolbox, and Machine Learning Recipes

Content

  • Multi-use, Robust, Pseudo Linear Regression — page 12
  • A Simple Ensemble Method, with Case Study (NLP) — page 15
  • Excel Implementation — page 24
  • Fast Feature Selection — page 31
  • Fast Unsupervised Clustering for Big Data (NLP) — page 36
  • Structuring Unstructured Data — page 40
  • Testing for Randomness — page 42
  • The Central Limit Theorem Revisited — page 48
  • More Tests of Randomness — page 55
  • Random Weighted Sums and Stable Distributions — page 63
  • Mixture Models, Optimum Binning and Deep Learning — page 73
  • Long Range Correlations in Time Series — page 87
  • Stochastic Number Theory and Multivariate Time Series — page 95
  • Statistical Tests: Summary — page 101
  • Modern Resampling Techniques for Machine Learning — page 107
  • Model-free, Assumption-free Confidence Intervals — page 121
  • The Distribution of the Range: A Beautiful Probability Theorem — page 133
  • Gaming Platform Rooted in Machine Learning and Deep Math — page 136
  • Digital Media: Decay-adjusted Rankings — page 148
  • Building a Website Taxonomy — page 153
  • Predicting Home Values — page 158
  • Growth Hacking — page 161
  • Time Series and Growth Modeling — page 169
  • Improving Facebook and Google Algorithms — page 179
  • Solving Common Machine Learning Challenges — page 187
  • Outlier-resistant Techniques, Cluster Simulation, Contour Plots — page 214
  • Strong Correlation Metric — page 225
  • Special Topics — page 229
  • Linear Algebra Revisited — page 266
  • Stochastic Processes and Organized Chaos — page 272
  • Machine Learning and Data Science Cheat Sheet — page 297

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Founder, MLtechniques.com. Machine learning scientist. Co-founder of Data Science Central (acquired by Tech Target).

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Vincent Granville

Vincent Granville

Founder, MLtechniques.com. Machine learning scientist. Co-founder of Data Science Central (acquired by Tech Target).

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