Data Communications Pocket Book, Second Edition presents information relevant to data communication. The book provides tabulated reference materials with a brief description and diagrams. The coverage of the text includes abbreviations, terminal control codes, and conversion tables. The text will be of great use to individuals involved in the interconnection of computer systems.
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
If you were about to learn statistics, what would your data say, and how would you interpret it? This learning and provocative question is at the core of the remarkable and easy learning book, Pocket Statistics. This book emerged from the data scientists working in different fields, designed to help people discover their statistical thinking, and then speak it out loud, developed by renowned scientist Bharat Kwatra.
The second edition of the Health and Safety Pocket Book has been fully revised and updated to include all the relevant legal, HSE ACoP/Guidance and practice references. It remains a handy reference tool for practising health and safety professionals, auditors, managers, HR personnel, employee representatives and anyone with health and safety responsibilities. The book is an essential compilation of guidance, data and checklists covering a wide range of health and safety topics, supported by extensive key glossary terms. The A–Z arrangement within the chapters and extensive cross-referencing make it easy to navigate, while its size and scope make it the ideal volume for ready reference and site visits. The book will also be useful for health and safety courses at all levels. Key features include: The principal health and safety legal requirements for every industry Safety management elements and systems Checklists for major hazards affecting all industries A wealth of charts, hard-to-remember details and data A glossary of the main concepts of health and safety A list of important health and safety courses, publications and organisations Revision tips for key examination themes.
The essential, cut-to-the-chase handbook to the Pacific Crest Trail, based on the comprehensive Wilderness Press guidebooks to the PCT, has been completely updated. Packed with trail-tested features, it’s useful both on and off the trail, covering pre-trip planning for resupply stops, how to set daily on-the-trail mileage goals by knowing trail gradient and the locations of campsites, water sources, and facilities, and how to easily calculate distances between any two points on the trail, and how to planning both north-bound and south-bound hiking trips.
A pocket-size reference that has all the fundamental data that engineers need in their daily work. Taping and drilling charts, hole coordinate charts with common sizes already worked out, speeds/feeds, material specs, drawing symbols and standards, CNC machine codes, plus much more. This book is also a very useful reference for students in engineering and drafting programs.
