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Probabilidade e Estatística da seção ler

Building Large Language Models from Scratch: Design, Train, and Deploy Llms with Pytorch

por: Dilyan Grigorov

This book is a complete, hands-on guide to designing, training, and deploying your own Large Language
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Excel 2007 Data Analysis For Dummies (For Dummies (Computer/Tech))

por: Stephen L. Nelson CPA MBA MS

Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their or
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Practical Uncertainty: Useful Ideas in Decision-Making, Risk, Randomness, & AI

por: Hossein Pishro-Nik

Life is full of uncertainty, risk, opportunity, and randomness. How can we gain an edge in our decisi
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Actuarial Science Made Simple: A Beginner’s Guide to Risk and Numbers

por: Oluchi Ike

Actuarial science has a reputation for being mysterious, mathematical, and even intimidating. Many pe
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Probability and Stochastics: 261

por: Erhan Çınlar

This text is an introduction to the modern theory and applications of probability and stochastics. Th
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Deep Generative Modeling

por: Jakub M. Tomczak

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all
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Analyzing Dependent Data with Vine Copulas: A Practical Guide with R: 222

por: Claudia Czado

Preface.- Multivariate Distributions and Copulas.- Dependence Measures.- Bivariate Copula Classes, Th
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Thinking Like a Mathematician: Unlocking Logic, Probability, and Problem-Solving for Everyday Life

por: Kevin L Whitworth

Thinking Like a Mathematician: Unlocking Logic, Probability, and Problem Solving for Everyday Life is
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Statistical Methods

por: Mr Lewis McConkey

The purpose of this book differs from the Probabilistic Methods book. I wrote the Probabilistic Metho
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The Data Science Design Manual

por: Professor Steven S Skiena

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly
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Supervised Machine Learning for Science: How to stop worrying and love your black box

por: Christoph Molnar

Machine learning has revolutionized science, from folding proteins and predicting tornadoes to studyi
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Machine Learning with Quantum Computers

por: Maria Schuld

This book offers an introduction into quantum machine learning research, covering approaches that ran
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Basics of Matrix Algebra for Statistics with R

por: Nick Fieller

A Thorough Guide to Elementary Matrix Algebra and Implementation in RBasics of Matrix Algebra for Sta
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Maths for AI Evaluation: Confidence Intervals, Judges, and Leaderboards (Mathematics for Everything)

por: Avishek Nag

A team I was advising had a slide with six models and four benchmarks on it, twenty-four numbers to o
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Neural Networks and Deep Learning: A Textbook

por: Charu C Aggarwal

This book covers both classical and modern models in deep learning. The primary focus is on the theor
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Introduction to Probability Models

por: Sheldon M. Ross

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate cour
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Stats with Kittens: Growing up with data, charts, surveys, correlations, and other floofy playthings

por: Charles Kufs

Everybody needs to understand statistics. It’s an essential part of everyday life in America. Statist
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Computational Actuarial Science With R: 17

por:

A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R
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Graph Paper Composition Notebook: Grid Paper Notebook

por: Independently Published

Introducing the Graph Paper Composition Notebook, Journal, One SubjectAre you looking for a versatile
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Measure Theory: Second Edition

por: Donald L Cohn

Intended as a self-contained introduction to measure theory, this textbook also includes a comprehens
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The Mathematics of Financial Derivatives: A Student Introduction

por: P Wilmott

Finance is one of the fastest growing areas in the modern banking and corporate world. This, together
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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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Patterns, Predictions, and Actions: Foundations of Machine Learning

por: Moritz Hardt

An authoritative, up-to-date graduate textbook on machine learning that highlights its historical con
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