Artificial Intelligence

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All Indian Reprints of O'Reilly are printed in Grayscale Machine learning is no longer just a tool for data scientists. By taking advantage of recent advances in this technology, UI and UX designers can find ways to better engage with and understand their users. This O'Reilly report not only introduces you to contemporary machine learning systems, but also provides a conceptual framework to help you integrate machine-learning capabilities into your user-facing designs.
AuthorPatrick Hebron BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.
AuthorKence Anderson BindingPaperback
This product will be shipped on 25-11-2022
Reserve your copy without making any payment by selecting "Other Payment" option at checkout. Full Colour Edition Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this...
AuthorAurelien Geron BindingPAperback
All Indian Reprints of O'Reilly are printed in Grayscale Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making. With this practical book with hands-on examples in Power BI, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files.
AuthorTobias Zwingmann BindingPaperback
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.
AuthorLewis Tunstall BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
AuthorChip Huyen BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Learn robotics through magic, or enhance your magic with robotics! This book is a beginner's guide to creating robotics-infused magic. You'll be introduced to simple DIY electronics and Arduino programming, and you will learn how to use those tools to create a treasure trove of magic bots and effects, with readily-sourced materials and everyday objects. It's magic through the lens of the Maker Movement, with a dedication to accessibility -- cardboard meets Arduino meets magic! All ages, backgrounds, and abilities will find clever, fun projects within these pages that challenge their creativity and explode their imagination.
AuthorMario Marchese BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.
AuthorLaurence Moroney BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems.
AuthorKerrie L. Holley Author 2Siupo Becker
Educating students from the initial stage about Artificial Intelligence (AI) and other recent technologies is important. Equipped with this knowledge, students can actively and responsibly participate to offer global solutions today and in future. They can use this knowledge to shape the world according to their vision. In this era, it is important to understand the significance and applicability of Artificial Intelligence and Machine Learning. In 2020 alone, there will be nearly 8 million jobs worldwide in the field of Artificial Intelligence. This book includes the present and future applications, ethical issues and sustainable goals related to Artificial Intelligence. The concepts of Smart City and Smart Home has been included to help students envision the application of AI in society. The concept of Computer vision and Natural Language Processing is also incorporated to understand the implicit technology behind new AI based applications. This book will improve students’ capability to visualise the potential of AI.
AuthorAnindita Das Bhattacharjee BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale 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 development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance.
AuthorChris Fregly Author 1Antje Barth
All Indian Reprints of O'Reilly are printed in Grayscale Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that's fair and free of bias. 
AuthorAileen Nielsen BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading.
AuthorYves Hilpisch BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale 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 machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. 
AuthorPhil Winder BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.  Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. 
AuthorTrevor Grant Author 1Holden Karau
All Indian Reprints of O'Reilly are printed in Grayscale Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video. 
Author 1Micheal Lanham BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.  You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.   
AuthorLaurence Moroney BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).  
AuthorHariom Tatsat Author 1Brad Lookabaugh
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 amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. 
AuthorJeremy Howard Author 1Sylvain Gugger
All Indian Reprints of O'Reilly are printed in Grayscale Many industries have been revolutionized by the widespread adoption of AI and machine learning. The programmatic availability of historical and real-time financial data in combination with techniques from AI and machine learning will also change the financial industry in a fundamental way. This practical book explains how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.  
AuthorYves Hilpisch BindingPaperback
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