Category: Computer Science & Computer Engineering
eBook Details: Paperback: 435 pages Publisher: WOW! eBook (May 17, 2022) Language: English ISBN-10: 1492082384 ISBN-13: 978-1492082385 eBook Description: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. With this Data Algorithms with Spark book, you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including...
eBook Details: Paperback: 459 pages Publisher: WOW! eBook; 2nd edition (May 3, 2022) Language: English ISBN-10: 1098118952 ISBN-13: 978-1098118952 eBook Description: Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, 2nd Edition 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 pipeline with cloud native tools on GCP. You’ll learn how to: Employ best practices in building highly scalable data and ML pipelines...
eBook Details: Paperback: 330 pages Publisher: WOW! eBook (May 27, 2022) Language: English ISBN-10: 1800568789 ISBN-13: 978-1800568785 eBook Description: Building Data Science Solutions with Anaconda: The missing manual to becoming a successful data scientist – develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape You might already know that there’s a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. This book not only covers everything you need to know about algorithm families...
eBook Details: Paperback: 324 pages Publisher: WOW! eBook (May 27, 2022) Language: English ISBN-10: 1803247738 ISBN-13: 978-1803247731 eBook Description: Data Forecasting and Segmentation Using Microsoft Excel: Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection. You’ll learn how to apply the grouping K-means algorithm, which...
eBook Details: Paperback: 328 pages Publisher: WOW! eBook (June 21, 2022) Language: English ISBN-10: 161729764X ISBN-13: 978-1617297649 eBook Description: Interpretable AI: Building explainable machine learning systems: AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements. Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement...
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