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Machine Learning Techniques for Cybersecurity

por: Elisa Bertino

This book explores machine learning (ML) defenses against the many cyberattacks that make our workpla
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Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction

por: Sacha Friedli

This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibri
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Tidy Modeling with R: A Framework for Modeling in the Tidyverse

por: Max Kuhn

Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you'
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Causal Inference in Statistics: A Primer

por: Judea Pearl

CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. With
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Computer Vision: Algorithms and Applications

por: Richard Szeliski

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and i
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Markov Chains and Mixing Times

por: Yuval Peres

Markov Chains and Mixing Times is a magical book, managing to be both friendly and deep. It gently in
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R Companion for Sampling: Design and Analysis, Third Edition

por: Yan Lu

The R Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and
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Machine Learning: An Algorithmic Perspective: An Algorithmic Perspective, Second Edition

por: Stephen Marsland

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-sellin
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R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse

por: Robert I Kabacoff

R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R's s
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AI for Robotics: Toward Embodied and General Intelligence in the Physical World

por: Alishba Imran

This book approaches robotics from a deep learning perspective. Artificial intelligence (AI) has tran
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Mastering Claude AI: Practical Journey from First Prompts to Pro with Claude AI

por: Ryan Dickey

Unlock the power of Claude, an advanced conversational AI assistant, and integrate it into your daily
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Do Dice Play God?: The Mathematics of Uncertainty

por: Ian Stewart

Uncertainty is everywhere. It lurks in every consideration of the future - the weather, the economy,
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Sampling: Design and Analysis

por: Sharon L. Lohr

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampli
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Handbook of Price Impact Modeling

por: Kevin T Webster

Handbook of Price Impact Modeling provides practitioners and students with a mathematical framework g
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Bayesian Multiple Target Tracking

por: Lawrence D. Stone

Using the Bayesian inference framework, this book enables the reader to design and develop mathematic
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A First Course in Causal Inference

por: Peng Ding

The past decade has witnessed an explosion of interest in research and education in causal inference,
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Naked Statistics: Stripping the Dread from the Data

por: Charles Wheelan

�Brilliant, funny . . . the best math teacher you never had.�?San Francisco Chronicle Once considered
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Analytics in Healthcare: A Practical Introduction

por: Christo El Morr

Chapter 1. Healthcare and Business Intelligence.- Chapter 2. Analytics: The Building Blocks.- Chapter
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Think STATS: Exploratory Data Analysis

por: Allen B. Downey

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised
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Computation and Complexity for AI: Algorithms, Lower Bounds, and Resource Trade-offs

por: Guangyu Wang

AI systems are shaped by what their algorithms can compute under finite time, memory, communication,
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Solution Manual for Econometrics by Bruce E. Hansen: A Patient and Pedagogical Approach

por: Enrico Sargent

Bruce E. Hansen's Econometrics is, in the author's judgment, the single best textbook for econometric
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