Sign-In
Cart
College Statistics in the AI Era
Hardcover
General ComputersProbability & Statistics
Publisher Price: $59.95
Publisher: Indy
Published: Aug 27 2026
Pages: 174
Weight: 1.15
Height: 0.44 Width: 7.00 Depth: 10.00
Language: English
College Statistics in the AI Era: Foundations, Computation, and Data Science Rigor
Mastering Quantitative Inference in the Age of Machine Learning
Statistics is no longer just a collection of static formulas-it is the living language of data science. Designed for students, researchers, and engineers across the experimental and computational sciences, College Statistics in the AI Era bridges traditional statistical theory and modern deep-learning applications. Ace your college curriculum, defend your empirical research, and build foundational mathematical rigor for complex machine learning pipelines without unnecessary academic jargon.
Dual-Core Curriculum: Master foundational mechanisms (t-tests, ANOVA, OLS regression, Chi-Square, nonparametrics) while integrating advanced computational paradigms like Bayesian inference, MCMC algorithms, logistic models, and survival analysis.
AI Perspective Boxes: Connect standard modeling practices to big-data architectures, regularized regression (Lasso/Ridge shrinkage), neural network layers, feature attribution, and explainable AI (XAI) diagnostics.
Fully Solved Problems: Eliminate ambiguity with fully worked, hand-calculated examples utilizing small-scale datasets (5 to 10 rows) designed to expose underlying arithmetic structures before scaling to automation.
Comprehensive Software Guidance: Transition from manual computation to production-ready code with explicit syntax and implementation rules for R, Python, Julia, GNU Octave, and modern spreadsheet configurations.
Ethics and Privacy: Evaluate algorithmically driven choices via automated demographic equity profiles, disparate impact metrics, algorithmic interpretability (SHAP values), and Differential Privacy.
Part I: Foundations - Inference in modern science, structured/unstructured vector data, and descriptive compression.
Part II: Probability - Axiomatic uncertainty rules, Binomial/Normal curves, Z-scores, and the Central Limit Theorem.
Part III: Inference - Confidence boundaries, parametric hypothesis tests, experimental design, and rank statistics.
Part IV: Toolkit Expansion - Bayesian prior-posterior updating, Bootstrap/Permutation resampling, and Kaplan-Meier curves.
Part V: AI Era Statistics - Parallel computing (MapReduce/Spark), Regularization, Ensemble algorithms, and Neural Networks.
About the Author
Dr. Michael M. Nikoletseas is a distinguished professor of medicine and an interdisciplinary scholar with long-standing expertise spanning psychobiology, neuroscience, mathematics, and philosophy. The author of over a dozen books held in world-class academic libraries (including Harvard, Oxford, and Princeton), his concept-driven approach transforms statistical modeling from a mechanical chore into an active, essential habit of mind.
Also from
Nikoletseas, Michael M.
Πανεπιστημιακή στατιστική
Nikoletseas, Michael M.
Hardcover
Statistik verstehen ohne Formelwahn: Ein erzählender Begleiter für die Oberstufe und den Start ins naturwissenschaftliche Studium
Nikoletseas, Michael M.
Hardcover
Parmenides The World as Modus Cogitandi: The World as Modus Cogitandi: The World as Modus Cogitandi
Nikoletseas, Michael M.
Paperback
Cranial Nerves for Medical Students: Anatomy with Clinical Correlations
Nikoletseas, Michael M.
Hardcover
Thus Spoke Parmenides: A Conversation Between Human and Artificial Intelligence
Nikoletseas, Michael M.
Paperback
Also in
Probability & Statistics
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Wickham, Hadley
Paperback
AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice
Sternstein, Martin, PH. D.
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Athanasopoulos, George
Hyndman, Rob J.
Paperback
Graph Paper Composition Notebook: Quad Ruled 5x5, Grid Paper for Students in Math and Science
Wizo, Math
Paperback
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
Spiegelhalter, David
Paperback
Stat 208 Statistical Thinking: A Book for Stat 208 at Virginia Commonwealth University
Street IV, W. Scott
Durfee, Becky
Paperback
An Introduction to Statistical Learning: With Applications in R
James, Gareth
Witten, Daniela
Hastie, Trevor
Paperback
Mastering Claude AI: Practical Journey from First Prompts to Pro with Claude AI
Dickey, Ryan
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Peter
Bruce, Andrew
Gedeck, Peter
Paperback
Scale: The Universal Laws of Life, Growth, and Death in Organisms, Cities, and Companies
West, Geoffrey
Paperback
How the World Really Works: The Science Behind How We Got Here and Where We're Going
Smil, Vaclav
Paperback
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
Spiegelhalter, David
Hardcover
The Random Universe: How Models and Probability Help Us Make Sense of the Cosmos
Jaffe, Andrew H.
Hardcover
Schaum's Outline of Probability and Statistics, 4th Edition: 897 Solved Problems + 20 Videos
Schiller, John J.
Srinivasan, R. Alu
Spiegel, Murray R.
Paperback
Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results
Hatcher, Larry
Paperback
The Only Math Book You'll Ever Need, Revised Edition: Hundreds of Easy Solutions and Shortcuts for Mastering Everyday Numbers
Kogelman, Stanley
Heller, Barbara R.
Paperback
Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition
Hsu, Hwei P.
Paperback
Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Yu, James
Cheng, Ran
Lee, Peter
Hardcover
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Nestler, Scott
Pelechrinis, Konstantinos
Winston, Wayne L.
Paperback
Building Large Language Models from Scratch: Design, Train, and Deploy Llms with Pytorch
Grigorov, Dilyan
Paperback
The End of Average: Unlocking Our Potential by Embracing What Makes Us Different
Rose, Todd
Paperback
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Harrell Jr, Frank E.
Paperback
How the World Really Works: The Science Behind How We Got Here and Where We're Going
Smil, Vaclav
Hardcover
Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists
Best, Joel
Hardcover
System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems
Bhardwaj, Rohit
Paperback
Challenging Mathematical Problems with Elementary Solutions, Vol. I: Volume 1
Yaglom, I. M.
Yaglom, A. M.
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Gupta, Nikhil
Yip, Jason
Paperback
Quantum Computing and Quantum Machine Learning for Engineers and Developers
Fraser, Roydon Andrew
Van Griensven Thé, Jesse
Rosas-Bustos, Jose
Hardcover
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Domingos, Pedro
Paperback
Large Language Models: A Deep Dive: Bridging Theory and Practice
Keenan, Kevin
Somers, Garrett
Kamath, Uday
Hardcover
Probably the Best Book on Statistics Ever Written: How to Beat the Odds and Make Better Decisions
Shapira, Haim
Hardcover
Making ChatGPT Work for You: Getting the Most Out of Generative AI as a Non-Techie
Evelyn, Lydia
Paperback
Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions
Downey, Allen B.
Paperback
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of C
McGrayne, Sharon Bertsch
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
Time Series Analysis and Its Applications: With R Examples
Shumway, Robert H.
Stoffer, David S.
Hardcover
Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions
Downey, Allen B.
Hardcover
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Raschka, Sebastian
Paperback
A Modern Introduction to Probability and Statistics: Understanding Why and How
Kraaikamp, C.
Lopuhaä, H. P.
Dekking, F. M.
Hardcover
Guide to Methods for Students of Political Science: Property, Proof, and Dispute in Catalonia Around the Year 1000
Van Evera, Stephen
Paperback
Scorecasting: The Hidden Influences Behind How Sports Are Played and Games Are Won
Moskowitz, Tobias
Wertheim, L. Jon
Paperback
Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes
Oosterlee, Cornelis W.
Grzelak, Lech A.
Paperback
An Introduction to Statistical Learning: With Applications in Python
Hastie, Trevor
James, Gareth
Witten, Daniela
Hardcover
Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Yu, James
Cheng, Ran
Lee, Peter
Paperback
Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and p
Joseph, Manu
Tackes, Jeffrey
Paperback
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale
Sharma, Ankush
Paperback
AI for Robotics: Toward Embodied and General Intelligence in the Physical World
Gopalakrishnan, Keerthana
Imran, Alishba
Paperback
Challenging Mathematical Problems with Elementary Solutions, Vol. II: Volume 2
Yaglom, A. M.
Yaglom, I. M.
Paperback
ACCUPLACER Math Prep: ACCUPLACER Math Test Study Guide with Two Practice Tests [Includes Detailed Answer Explanations]
Tpb Publishing
Paperback
Prompt Engineering for Everyone: A Self-Taught, Human-Centered Approach to AI Programming
Tavakoli, Hamid
Paperback
The Design Inference: Eliminating Chance through Small Probabilities
Dembski, William A.
Ewert, Winston
Hardcover
High-Dimensional Probability: An Introduction with Applications in Data Science
Vershynin, Roman
Hardcover
Discrete Nonlinear Schrodinger Equation: Beyond Complete Integrability
Pankov, Alexander
Zhang, Guoping
Hardcover
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Friedman, Jerome
Hastie, Trevor
Tibshirani, Robert
Hardcover
Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications
Kaata, Sashi Kiran
Bolla, Bharath Kumar
Subbaiah, Kalpa
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Dorsey, Dustin
Cyr, Cameron
Paperback
The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics
Mitchell, Andy
Griffin, Lauren Scott
Paperback
Telling Time Workbook: Practice Reading and Draw the Hand on the Clocks One Hour Half Hour 15 5 1 Minutes
Winny, Renzo
Paperback
Databricks Data Intelligence Platform: Powering the Agentic Era
Yip, Jason
Gupta, Nikhil
Wojtyczka, Marcin
Paperback
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
Building Generative AI Agents: Using Langgraph, Autogen, and Crewai
Deshmukh, Gaurav
Taulli, Tom
Paperback
Making Statistics Work: Information Theory and Bayesian Inference
Scharfenaker, Ellis
Foley, Duncan
Paperback
Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling
Martin, Osvaldo
Paperback
Transformation Enterprise Architecture with Agentic AI: Designing Intelligent, Adaptive, and Self-Governing Systems
Goniwada, Shivakumar R.
Paperback
Deep Learning in Computational Mechanics: An Introductory Course
Herrmann, Leon
Weeger, Oliver
Jokeit, Moritz
Hardcover
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers
Gridin, Ivan
Paperback
Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin
Weinstein, Lawrence
Adam, John a.
Paperback