Unforgettable Books

At long last, here is the thoroughly revised and updated third edition of the hugely successful The Art of Electronics. It is widely accepted as the best single authoritative book on electronic circuit design. In addition to new or enhanced coverage of many topics, the third edition includes 90 oscilloscope screenshots illustrating the behavior of working circuits, dozens of graphs giving highly useful measured data of the sort that is often buried or omitted in datasheets but which you need when designing circuits, and 80 tables (listing some 1650 active components), enabling intelligent choice of circuit components by listing essential characteristics (both specified and measured) of available parts. The new Art of Electronics retains the feeling of informality and easy access that helped make the earlier editions so successful and popular. It is an indispensable reference and the gold standard for anyone, student or researcher, professional or amateur, who works with electronic circuits.

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The much-anticipated new edition of 'Learning the Art of Electronics' is here! It defines a hands-on course, inviting the reader to try out the many circuits that it describes. Several new labs (on amplifiers and automatic gain control) have been added to the analog part of the book, which also sees an expanded treatment of meters. Many labs now have online supplements. The digital sections have been rebuilt. An FPGA replaces the less-capable programmable logic devices, and a powerful ARM microcontroller replaces the 8051 previously used. The new microcontroller allows for more complex programming (in C) and more sophisticated applications, including a lunar lander, a voice recorder, and a lullaby jukebox. A new section explores using an Integrated Development Environment to compile, download, and debug programs. Substantial new lab exercises, and their associated teaching material, have been added, including a project reflecting this edition's greater emphasis on programmable logic. Online resources including online chapters, teaching materials and video demonstrations can be found at: https: //LearningTheArtOfElectronics.com.

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A perfect guide to speed up the predicting power of machine learning algorithms Key Features:  Design, discover, and create dynamic, efficient features for your machine learning application Understand your data in-depth and derive astonishing data insights with the help of this Guide Grasp powerful feature-engineering techniques and build machine learning systems Book Description:  Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start with understanding your data-often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more, You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You'll also learn how to use machine learning on your machines, automatically learning amazing features for your data. By the end of the book, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization. What You Will Learn:  Identify and leverage different feature types Clean features in data to improve predictive power Understand why and how to perform feature selection, and model error analysis Leverage domain knowledge to construct new features Deliver features based on mathematical insights Use machine-learning algorithms to construct features Master feature engineering and optimization Harness feature engineering for real world applications through a structured case study Who this book is for:  If you are a data science professional or a machine learning engineer looking to strengthen your predictive analytics model, then this book is a perfect guide for you. Some basic understanding of the machine learning concepts and Python scripting would be enough to get started with this book.

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