Category: Databases & Big Data
eBook Details: Paperback: 222 pages Publisher: WOW! eBook; 2nd edition (October 10, 2023) Language: English ISBN-10: 1484297911 ISBN-13: 978-1484297919 eBook Description: Database-Driven Web Development: Learn to Operate at a Professional Level with PERL and MySQL, 2nd Edition This Database-Driven Web Development, 2nd Edition book will teach you the essential knowledge required to be a successful and productive web developer with the ability to produce cutting-edge websites utilizing a database. This updated edition starts with the fundamentals of web development before delving into Perl and MySQL concepts such as script and database modelling, script-driven database interactions, content generation from a database, and...
eBook Details: Paperback: 592 pages Publisher: WOW! eBook; 2nd edition (October 31, 2023) Language: English ISBN-10: 1617299855 ISBN-13: 978-1617299858 eBook Description: Elasticsearch in Action, 2nd Edition: Build powerful, production-ready search applications using the incredible features of Elasticsearch. Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its...
eBook Details: Paperback: 424 pages Publisher: WOW! eBook (November 14, 2023) Language: English ISBN-10: 1633439070 ISBN-13: 978-1633439078 eBook Description: Bayesian Optimization in Action: Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. Put its advanced techniques into practice with this hands-on guide. Bayesian Optimization in Action shows you how to optimize hyperparameter tuning, A/B testing, and other aspects of the machine learning process by applying cutting-edge Bayesian techniques. Using clear language, illustrations, and concrete examples, this book proves that Bayesian optimization doesn’t have to be difficult! You’ll get in-depth insights into how Bayesian optimization works...
eBook Details: Paperback: 325 pages Publisher: WOW! eBook (October 17, 2023) Language: English ISBN-10: 1098146824 ISBN-13: 978-1098146825 eBook Description: Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Take a data-first and use-case driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you’ll learn key ML concepts by using real-world datasets with realistic problems. You’ll learn how to: Distinguish between structured and unstructured data and the challenges they present Visualize and...
eBook Details: Paperback: 594 pages Publisher: WOW! eBook (October 24, 2023) Language: English ISBN-10: 1098113004 ISBN-13: 978-1098113001 eBook Description: Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python 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 you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Refine...
