Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists by Syam, Niladri (Niladri B.), 1964-, Kaul, Rajeeve

Table of Contents: “…Support vector machines -- Chapter 5. Random forest, bagging and boosting of decision trees.…”
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Fourth Summer School in Analysis and Mathematical Physics : topics in spectral theory and quantum mechanics, May 2005, Universidad Nacional Autónoma de México, Cuernavaca, Mexico

Table of Contents: “…Benguria and Helmut Linde -- Lectures on random Schrodinger operators / Peter D. Hislop -- Quantum mechanics, the stability of matter and quantum electrodynamics / Elliott H. …”
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Statistical learning from a regression perspective by Berk, Richard A.

Table of Contents: “…Statistical learning as a regression problem -- Regression splines and regression smoothers -- Classification and regression trees (CART) -- Bagging -- Random forests -- Boosting -- Support vector machines -- Broader implications and a bit of craft lore.…”
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Day trading using the MEJT system : a proven approach for trading the S & P 500 index by Tennant, Jeffrey

Table of Contents: “…Contents -- About the author -- Introduction -- Chapter 1: Ultimate Signals -- Chapter 2: The Morning Signal -- Chapter 3: The Afternoon Signal -- Chapter 4: Failed Targets -- Chapter 5: A Random Back Test…”
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Computational And Group-theoretical Methods In Nuclear Physics, Proceedings Of The Symposium In Honor Of Jerry P Draayer's 60th Birthday. by Escher, Jutta

Table of Contents: “…Opening session -- SU(3) and symplectic models and their applications -- Random hamiltonians -- Pseudo-spin in nuclear physics -- Collective phenomena -- Computational physics and large-scale nuclear models -- Mathematical physics -- Special topics -- Poster session.…”
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Digital signal processing using MATLAB for students and researchers by Leis, John, 1966-

Table of Contents: “…-- MATLAB for Signal Processing -- Sampled Signals and Digital Processing -- Random Signals -- Representing Signals and Systems -- Temporal and Spatial Signal Processing -- Frequency Analysis of Signals -- Discrete-Time Filters -- Recursive Filters.…”
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Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn by Klosterman, Stephen

Table of Contents: “…Data Exploration and Cleaning -- Introduction to Scikit-Learn and Model Evaluation -- Details of Logistic Regression and Feature Exploration -- The Bias-Variance Trade-off -- Decision Trees and Random Forests -- Imputation of Missing Data, Financial Analysis, and Delivery to Client.…”
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Applied mixed models in medicine by Brown, Helen, 1962-, Prescott, Robin

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Preface to third edition -- Mixed models notation -- About the Companion Website -- Chapter 1 Introduction -- 1.1 The use of mixed models -- 1.2 Introductory example -- 1.2.1 Simple model to assess the effects of treatment (Model A) -- 1.2.2 A model taking patient effects into account (Model B) -- 1.2.3 Random effects model (Model C) -- 1.2.4 Estimation (or prediction) of random effects -- 1.3 A multi-centre hypertension trial -- 1.3.1 Modelling the data -- 1.3.2 Including a baseline covariate (Model B) -- 1.3.3 Modelling centre effects (Model C) -- 1.3.4 Including centre-by-treatment interaction effects (Model D) -- 1.3.5 Modelling centre and centre·treatment effects as random (Model E) -- 1.4 Repeated measures data -- 1.4.1 Covariance pattern models -- 1.4.2 Random coefficients models -- 1.5 More about mixed models -- 1.5.1 What is a mixed model? …”
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Data analysis and statistics for geography, environmental science, and engineering by Acevedo, Miguel F.

Table of Contents: “…Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 -- Introduction; Chapter 2 -- Probability Theory; Chapter 3 -- Random Variables, Distributions, Moments, and Statistics; Chapter 4 -- Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 -- More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 -- Regression; Chapter 7 -- Stochastic or Random Processes and Time Series; Chapter 8 -- Spatial Point Patterns; Chapter 9 -- Matrices and Linear Algebra; Chapter 10 -- Multivariate Models.…”
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Research in Psychotherapy and Counselling. by Timulak, Ladislav

Table of Contents: “…Cover; Contents; Acknowledgements; Introduction; PART I -- PSYCHOTHERAPY AND COUNSELLING OUTCOME RESEARCH; 1 Instruments Used in Psychotherapy and Counselling Outcome Research; 2 Randomized Control Trials; 3 Alternatives to Randomized Control Trials; 4 Meta-analyses and Systematic Reviews; 5 Empirically Supported Treatments; 6 DoseEffect Research; 7 Client and Therapist Characteristics and the Effect of Psychotherapy; Conclusion; PART II -- PSYCHOTHERAPY AND COUNSELLING PROCESS RESEARCH; 8 Instruments Used in Psychotherapy and Counselling Process Research.…”
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Regression discontinuity designs : theory and applications

Table of Contents: “…On interpreting the regression discontinuity design as a local experiment -- Identification and estimation using a density discontinuity approach -- The deterremce effect of prison: dynamic theory and evidence -- An overview of geographically disontinuous treatment assignments with an application to children's health insurance -- External and internal validity of a geographic quasi-experiment embedded in a cluster-randomized experiment -- The comparative regression discontinuity (CRD) design: an overview and demonstration of its performance relative to basic RD and the randomized experiment -- Party bias in union representation elections: testing for maniupulation in the regression discontinuity design when the running variable is discrete -- Testing of stability of regression discontinuity models -- Testing kink design: theory and practice -- Regression discontinuity designs with clustered data -- Bootstrap confidence intervals for sharp regression discontinuity designs -- The devil is in the tails: regression discontinuity design with measurement error in the assignment variable.…”
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Epidemiology by Gordis, Leon, 1934-2015

Table of Contents: “…Mortality and other measures of disease impact -- Assessing the validity and reliability of diagnostic and screening tests -- The natural history of disease : ways of expressing prognosis -- Assessing preventive and therapeutic measures : randomized trials -- Randomized trials : some further issues -- Cohort studies -- Case-control studies and other study designs -- Estimating risk : is there an association? …”

Gordis epidemiology by Celentano, David D., Szklo, M. (Moyses)

Table of Contents: “…Morality and other measures of disease impact -- Assessing the validity and reliability of diagnostic and screening tests -- The natural history of disease: ways of expressing prognosis -- Observational studies -- Cohort studies -- Comparing cohort and case-control studies -- Assessing preventive and therapeutic measures: randomized trials -- Randomized trials: some further issues -- Estimating risk: is there an association? …”

Epidemiology by Gordis, Leon, 1934-2015

Table of Contents: “…Mortality -- Assessing the validity and reliability of diagnostic and screening tests -- The natural history of disease: ways of expressing prognosis -- Assessing the efficacy of preventive and therapeutic measures: randomized trials -- Randomized trials: some further issues -- Cohort studies -- Case-control studies and other study designs -- Estimating risk: is there an association? …”

Sustainable Natural Resource Management : For Scientists and Engineers. by Lynch, Daniel

Table of Contents: “…Cover; Half-title; Title; Copyright; Contents; To Begin; Preface; 1 Sterile Resources; 2 Biomass; 3 Stage-Structured Populations; 4 The Cohort; 5 Water; 6 Pollution; APPENDIX Generating Random Numbers; BIBLIOGRAPHY; INDEX.…”
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Evolution and Christian faith : reflections of an evolutionary biologist by Roughgarden, Joan

Table of Contents: “…Science with religion -- Single tree of life -- Species change -- Taking the Bible literally -- How change happens -- Random mutation -- Evolution's direction -- Roman Catholic position -- To-do list for theorists -- Intelligent design -- Gender and sexuality -- Future directions.…”
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Global financial crisis and challenges for China by Yang, Mu

Table of Contents: “…Preface -- Introduction -- The 2008 financial crisis and the Chinese economy -- Shanghai as an international financial centre -- The Renminbi debate -- Promoting China-ASEAN economic cooperation -- The flying geese model -- Reflections on developmental models -- By way of conclusion : some random thoughts.…”
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Introduction to Bayesian estimation and copula models of dependence by Shemyakin, Arkady

Table of Contents: “…Introduction to Bayesian Estimation and Copula Models of Dependence; Contents; List of Figures; List of Tables; Acknowledgments; Acronyms; Glossary; About the Companion Website; Introduction; Part I Bayesian Estimation; 1 Random Variables and Distributions; 1.1 Conditional Probability; 1.2 Discrete Random Variables; 1.3 Continuous Distributions on the Real Line; 1.4 Continuous Distributions with Nonnegative Values; 1.5 Continuous Distributions on a Bounded Interval; 1.6 Joint Distributions; 1.7 Time-Dependent Random Variables; References; 2 Foundations of Bayesian Analysis.…”
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Estimation of rare event probabilities in complex aerospace and other systems : a practical approach by Morio, Jérôme, 1983-, Balesdent, Mathieu, 1985-

Table of Contents: “…2.1.2 Notion of dependence of random events andconditional probabilities 2.1.3 Continuous random variables; 2.1.3.1 Definitions; 2.1.3.2 Parameters of continuous random variables; 2.1.4 Continuous multivariate random variables; 2.1.4.1 Definitions and theorems; 2.1.4.2 Dependence of multivariate random variables ; 2.1.5 Point estimation ; 2.2 Random variable modeling; 2.2.1 Overview of common probability distributions; 2.2.1.1 Univariate distributions; Uniform distribution; Exponential distribution; Gaussian distribution; Truncated Gaussian distribution; Log-normal distribution…”
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Observational studies in a learning health system : workshop summary by Grossmann, Claudia, 1978-, Alper, Joe

Table of Contents: “…Introduction -- Issues overview for observational studies in clinical research -- Engaging the issue of bias -- Generalizing randomized clinical trial results to broader populations -- Detecting treatment-effect heterogeneity -- Predicting individual responses -- Strategies going forward -- Common themes for progress.…”
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A First Course in Multivariate Statistics by Flury, Bernard

Table of Contents: “…- Joint Distribution of Several Random Variables -- The Multivariate Normal Distribution -- Parameter Estimation -- Discrimination and Classification, Round 1 -- Statistical Inference for Means -- Discrimination and Classification, Round 2 -- Linear Principal Component Analysis -- Normal Mixtures.…”
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Recursive identification and parameter estimation by Chen, Hanfu, Zhao, Wenxiao

Table of Contents: “…Dependent Random Vectors -- Recursive Parameter Estimation -- Recursive Identification for ARMAX Systems -- Recursive Identification for Nonlinear Systems -- Other Problems Reducible to Parameter Estimation -- Appendix A: Proof of Some Theorems in Chapter 1 -- Appendix B: Nonnegative Matrices.…”
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Observational studies in a learning health system : workshop summary by Grossmann, Claudia, 1978-, Alper, Joe

Table of Contents: “…Introduction -- Issues overview for observational studies in clinical research -- Engaging the issue of bias -- Generalizing randomized clinical trial results to broader populations -- Detecting treatment-effect heterogeneity -- Predicting individual responses -- Strategies going forward -- Common themes for progress.…”
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Nonlinear Dynamics in Physiology : a State-Space Approach. by Shelhamer, Mark

Table of Contents: “…The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems -- random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors -- random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. …”
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Monte Carlo Statistical Methods by Robert, Christian P.

Table of Contents: “…Introduction -- Random Variable Generation -- Monte Carlo Integration -- Markov Chains -- Monte Carlo Optimization -- The Metropolis-Hastings Algorithm -- The Gibbs Sampler -- Diagnosing Convergence -- Implementation in Missing Data Models -- Probability Distributions -- Notation -- References -- Author Index -- Subject Index.…”
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Free will by Balaguer, Mark

Table of Contents: “…-- What Is Free Will, Anyway? -- Can We Block the Random-or-Predetermined Argument Against Free Will? …”
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Modeling and estimation of structural damage by Nichols, Jonathan Michael, Murphy, Kevin D., 1966-

Table of Contents: “…Probability -- Random processes -- Modeling in structural dynamics -- Physics based model examples -- Estimating statistical properties of structural response data -- Parameter estimation for structural systems -- Detecting damage-induced nonlinearity -- Damage identification -- Decision making in condition-based maintenance.…”
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Legends & lore of southern Illinois by Allen, John W. (John Willis), 1887-1969

Table of Contents: “…Individuals -- Names -- Folklore -- Indians -- Early travel -- Early business activities -- Farm life -- Early schools -- Holidays -- Churches -- Law & order -- Slavery & servitude -- The military -- Along the rivers -- Landmarks -- Towns : old & older -- Random stories -- Epilogue: I retire.…”
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Presentation of Technical Data to a Non-technical Audience by Hopcraft, Francis

Table of Contents: “…Probability as Basis of Statistics; 3.3. Consideration of Randomness of Data; 3.4. Lying with Statistics; 3.5. …”
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Last works by Mendelssohn, Moses, 1729-1786

Table of Contents: “…His Thoughts Concerning Purified -- Lecture XVI Explanation of the Concepts of Necessity, Randomness, Independence, and Dependen…”
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The nature of selection : evolutionary theory in philosophical focus by Sober, Elliott

Table of Contents: “…Selection Of and Selection For; Chapter 4: Chance; 4.1. The Randomness of Mutation.…”
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Genomes, Evolution, and Culture Past, Present, and Future of Humankind. by Herrera, Rene J.

Table of Contents: “…Review questions and exercises -- References -- Chapter 4: Genetic variability -- On the nature of variability -- Mechanisms responsible for generating genetic variability -- Randomness of mutations -- Inheritance and environment -- Selection works on the phenotype -- The impact of selection -- Cultural expressions as markers of ancestry -- Congruency among marker systems -- Does junk DNA exist? …”
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Last works by Mendelssohn, Moses, 1729-1786

Table of Contents: “…His Thoughts Concerning Purified -- Lecture XVI Explanation of the Concepts of Necessity, Randomness, Independence, and Dependen…”
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The known, the unknown, and the unknowable in financial risk management : measurement and theory advancing practice

Table of Contents: “…Granger -- Mild vs. wild randomness : focusing on those risks that matter / Benoit B. …”
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Scaling and disordered systems : international workshop and collection of articles honoring Professor Antonio Coniglio on the occasion of his 60th birthday

Table of Contents: “…Compaction of Granular Matter: A Short Review and the Random Tetris Model Why Conductivity Decreases with Pressure in Ion-Doped Polymers ; Dynamical Non-Linear Susceptibility of the Quenched and Annealed Frustrated Lattice Gas Models…”
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Analysis in integer and fractional dimensions by Blei, R. C. (Ron C.)

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Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you by Joshi, Prateek

Table of Contents: “…; Building a Decision Tree classifier; What are Random Forests and Extremely Random Forests?; Building Random Forest and Extremely Random Forest classifiers; Estimating the confidence measure of the predictions; Dealing with class imbalance; Finding optimal training parameters using grid search; Computing relative feature importance; Predicting traffic using Extremely Random Forest regressor; Summary.…”
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Machine Learning With Go. by Whitenack, Daniel

Table of Contents: “…KNN exampleDecision trees and random forests; Overview of decision trees and random forests; Decision tree and random forest assumptions and pitfalls; Decision tree example; Random forest example; Naive bayes; Overview of naive bayes and its big assumption; Naive bayes example; References; Summary; Chapter 6: Clustering; Understanding clustering model jargon; Measuring Distance or Similarity; Evaluating clustering techniques; Internal clustering evaluation; External clustering evaluation; k-means clustering; Overview of k-means clustering; k-means assumptions and pitfalls.…”
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Combining pattern classifiers : methods and algorithms by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

Table of Contents: “…-- Appendix -- 5.A.1 Theoretical Classification Error for the Simple Combiners -- 5.A.2 Selected Matlab Code -- Notes -- 6 Ensemble Methods -- 6.1 Bagging -- 6.2 Random Forests -- 6.3 Adaboost -- 6.4 Random Subspace Ensembles -- 6.5 Rotation Forest -- 6.6 Random Linear Oracle -- 6.7 Error Correcting Output Codes (ECOC) -- Appendix…”
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Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python by Kumar, Ashish

Table of Contents: “…Treating missing valuesDeletion; Imputation; Creating dummy variables; Visualizing a dataset by basic plotting; Scatter plots; Histograms; Boxplots; Summary; Chapter 3: Data Wrangling ; Subsetting a dataset; Selecting columns; Selecting rows; Selecting a combination of rows and columns; Creating new columns; Generating random numbers and their usage; Various methods for generating random numbers; Seeding a random number; Generating random numbers following probability distributions; Probability density function; Cumulative density function; Uniform distribution; Normal distribution.…”
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