Category: Databases & Big Data

A Handbook of Mathematical Models with Python 0

A Handbook of Mathematical Models with Python

eBook Details: Paperback: 144 pages Publisher: WOW! eBook (August 30, 2023) Language: English ISBN-10: 1804616702 ISBN-13: 978-1804616703 eBook Description: A Handbook of Mathematical Models with Python: Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare. Through this A Handbook of Mathematical Models with Python book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms....

Leveling Up with SQL: Advanced Techniques for Transforming Data into Insights 0

Leveling Up with SQL

eBook Details: Paperback: 474 pages Publisher: WOW! eBook (September 19, 2023) Language: English ISBN-10: 1484296842 ISBN-13: 978-1484296844 eBook Description: Leveling Up with SQL: Advanced Techniques for Transforming Data into Insights Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level. Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. You’ll then learn about each individual table’s...

Building Statistical Models in Python 0

Building Statistical Models in Python

eBook Details: Paperback: 383 pages Publisher: WOW! eBook (September 11, 2023) Language: English ISBN-10: 1804614289 ISBN-13: 978-1804614280 eBook Description: Building Statistical Models in Python: Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights The ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation. This book not only equips you with skills to navigate the complexities...

Machine Learning Engineering with Python, 2nd Edition 0

Machine Learning Engineering with Python, Second Edition

eBook Details: Paperback: 462 pages Publisher: WOW! eBook; 2nd edition (August 31, 2023) Language: English ISBN-10: 1837631964 ISBN-13: 978-1837631964 eBook Description: Machine Learning Engineering with Python, 2nd Edition: Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problems. Includes a new chapter on generative AI and large language models (LLMs) and building a pipeline that leverages LLMs using LangChain. The Machine Learning Engineering with Python, Second Edition is the practical guide that MLOps and ML engineers need to build solutions to real-world problems. It will provide you with...

Modern Data Architecture on AWS 0

Modern Data Architecture on AWS

eBook Details: Paperback: 420 pages Publisher: WOW! eBook (August 31, 2023) Language: English ISBN-10: 1801813396 ISBN-13: 978-1801813396 eBook Description: Modern Data Architecture on AWS: Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Many IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will...