Machine Learning

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change...

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure for data scientists to ensure data privacy. Unfortunately, integrating privacy into your data science workflow is...

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that...

The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie?In this brilliant, one-stop guide WIRED journalist Matt Burgess explains everything you need to know about AI. He...

Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data driven companies to manage their cutting edge data...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781098156015Author Robert CroweFormat PaperbackPage Count 260Imprint O'Reilly MediaPublisher O'Reilly Media

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262527804Author Murray ShanahanFormat PaperbackPage Count 272Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 178mm * 127mm * 14mm

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. DBT (data build tool) helps you take data further. This practical book...

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to...

The next generation of AI is here-use it to lead your business forward.If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the...

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional...

You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't...

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions-whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And...

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human...

Apologies but we at Booksplease don't have a full description for this book.AwardsWinner of Winner, 2013 DeGroot Prize awarded by the International Society for Bayesian Analysis 2013.Book InformationISBN 9780262018029Author Kevin P. MurphyFormat...

A Wall Street Journal bestsellerA Publisher's Weekly bestsellerA fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the...

Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best...

Apply advanced techniques for optimising machine learning processes For machine learning practitioners confident in maths and statistics. Bayesian Optimization in Action shows you how to optimise hyperparameter tuning, A/B testing, and other aspects of...

How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the...

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and...

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048989Author David R. MartinezFormat HardbackPage Count 576Imprint MIT PressPublisher MIT Press Ltd

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this...

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data...

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application...

Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principlesImage classification and image segmentationTime series...

Advances in Artificial intelligence (AI) have redefined research and development in many areas, particularly in the direction of engineering research, application of machine learning, and the use of deep learning in many aspects of engineering research...

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals,...

Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information...

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.  Math and Architectures of Deep Learning bridges the gap between...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262546379Author Daniel P. FriedmanFormat PaperbackPage Count 436Imprint MIT PressPublisher MIT Press Ltd

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780578328621Author Ilya KatsovFormat HardbackPage Count 576Imprint Grid DynamicsPublisher Grid DynamicsWeight(grams) 934gDimensions(mm) 229mm * 152mm * 32mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262042840Author Jacob EisensteinFormat HardbackPage Count 536Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 29mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781632217684Author Patrick GilbertFormat PaperbackPage Count 344Imprint Mill City Press, Inc.Publisher Mill City Press, Inc.Weight(grams) 503gDimensions(mm)...

A robust and engaging account of the single greatest threat faced by AI and ML systems In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial machine learning researchers...

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. With this practical book, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and...

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create...

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers...

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this...