Data Science

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All Indian Reprints of O'Reilly are Printed in Grayscale. Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show...
AuthorWes McKinney BindingPaperback
Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.
AuthorCarl Allchin BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models.
AuthorAbdullah Karasan BindingPaperback
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All Indian Reprints of O'Reilly are printed in Grayscale Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds.
AuthorJowanza Joseph BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.
AuthorSusan E. McGregor BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application...
AuthorGwen Shapira Author 2Todd Palino
All Indian Reprints of O'Reilly are printed in Grayscale Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.
AuthorCarl Allchin BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data pre-processing, model design, model training, evaluation, deployment, and interpretability.
AuthorValliappa Lakshmanan Author 2Martin Görner
All Indian Reprints of O'Reilly are printed in Grayscale   What's so special about this book? If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. With Head First Design Patterns, 2E you'll learn design principles and patterns in a way that won't put you to sleep, so you can get out there to solve software design problems and speak the language of patterns with others on your team.
AuthorEric Freeman, Elisabeth Robson BindingPaperback
All Indian Reprints of O'Reilly are printed in Grayscale Site reliability engineering (SRE) is more relevant than ever. Knowing how to keepsystems reliable has become a critical skill. With this practical book, newcomers and old hatsalike will explore a broad range of conversations happening in SRE. You'll get actionable adviceon several topics, including how to adopt SRE, why SLOs matter, when you need to upgradeyour incident response, and how monitoring and observability differ.
AuthorEmil Stolarsky Author 2Jaime Woo
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 AuthorBrad Lookabaugh
All Indian Reprints of O'Reilly are printed in Grayscale What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold but you still fail. The reason? Bad data semantics.
AuthorPanos Alexopoulos BindingPaperback
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