Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket Thodge

Overview of this book

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Table of Contents (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

Artificial intelligence


Artificial intelligence (AI) is part of computer science since 1950s. AI is broader way of building smart devices or computer machines that are able to work intelligently. It’s used to create intelligent devices or machines working like humans. The scope of AI is nowadays distributed across the fields of electronics, electrical, mechanical, chemical, physics, and many more domains. The activities that are performed by a computer using AI are complex problem solving, learning, planning, speech recognition, reasoning, perception, the ability to move the devices and manipulate objects, knowledge engineering, machine learning, social intelligence, and robotics.

There are quite a few approaches to solving problems using AI, and these approaches are different sets of concepts or patterns. There is no proper theory or steps or unique method to solve a problem. AI is broadly categorized into three approaches:

  • Computational psychology: Deals with human like behavior
  • Computational...