Books written by Valliappa Lakshmanan

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  Data Governance: The Definitive Guide

  The Importance of Data Structure A key aspect to consider when cultivating agility is to “set yourself up for success”— again, this is a component that can be relied upon and enforced by the data culture. Note that being “set up for ...

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  Machine Learning Design Patterns

  The design patterns in this book capture best practices and solutions to recurring problems in machine learning.

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  Practical Machine Learning for Computer Vision

  This practical book shows you how to employ machine learning models to extract information from images.

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  Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images

  This practical book shows you how to employ machine learning models to extract information from images.

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  Data Governance: The Definitive Guide

  NGS is a league program wherein the pads of every player and official, along with game balls, pylons, and first down chains are all tagged with a radio frequency identification (RFID) chip, which allows for a very robust set of ...

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  Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

  This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.

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  Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications

  This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets.

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  Data Science on the Google Cloud Platform

  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.

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  Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

  This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.

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  Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics

  This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed.

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  Practical Machine Learning for Computer Vision: End-to-end Machine Learning for Images

  Practical Machine Learning for Computer Vision: End-to-end Machine Learning for Images

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  Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

  BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.

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  Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

  Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how.

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  Data Governance: The Definitive Guide

  As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data...