Statistical Learning and Sequential Prediction
eBook | Free |
Rating | |
Authors | Alexander Rakhlin, Karthik Sridharan |
Publisher | Self-publishing |
Published | 2014 |
Pages | 261 |
Language | English |
Format | Paper book / ebook (PDF) |
This free book will focus on theoretical aspects of Statistical Learning and Sequential Prediction. Until recently, these two subjects have been treated separately within the learning community. The course will follow a unified approach to analyzing learning in both scenarios. To make this happen, we shall bring together ideas from probability and statistics, game theory, algorithms, and optimization. It is this blend of ideas that makes the subject interesting for us, and we hope to convey the excitement. We shall try to make the course as self-contained as possible, and pointers to additional readings will be provided whenever necessary. Our target audience is graduate students with a solid background in probability and linear algebra.
- Alexander Rakhlin
- Karthik Sridharan
Similar Books
Advanced R Statistical Programming and Data Models
by Matt Wiley, Joshua F. Wiley
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes ...
Price: $49.99 | Publisher: Apress | Release: 2019
Deep Learning and the Game of Go
by Max Pumperla, Kevin Ferguson
Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.The ancient strategy game of Go is an incredible case...
Price: $46.05 | Publisher: Manning | Release: 2019
Quantum Machine Learning and Optimisation in Finance
by Antoine Jacquier, Oleksiy Kondratyev
With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware.Speedup is so important in financial applications, rang...
Price: $35.99 | Publisher: Packt Publishing | Release: 2022
Learning Android Game Programming
by Richard A. Rogers
The book starts with an up-to-the-minute overview of today's Android mobile games marketplace, reviews each leading genre, and teaches you the foundational concepts of game development. You'll design a simple game, then master every step of game development with AndEngine - the powerful, open source, free game-development engine...
Price: $8.40 | Publisher: Addison-Wesley | Release: 2012
Learning Android Application Programming for the Kindle Fire
by Lauren Darcey, Shane Conder
In this book, bestselling Android programming authors Lauren Darcey and Shane Conder teach you every skill and technique you need to write production-quality apps for Amazon Kindle Fire, the world's hottest Android tablet. You'll learn the very best way: by building a complete app from start to finish. Every chapter builds on wh...
Price: $11.96 | Publisher: Addison-Wesley | Release: 2012
Machine Learning with PyTorch and Scikit-Learn
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the...
Price: $40.00 | Publisher: Packt Publishing | Release: 2022
by Pramod Singh, Avinash Manure
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models usin...
Price: $29.95 | Publisher: Apress | Release: 2020
by Clarence Chio, David Freeman
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to securi...
Price: $30.49 | Publisher: O'Reilly Media | Release: 2018