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The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge)

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM’s Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don’t go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient.

Augmented Intelligence: The Business Power of Human–Machine Collaboration

The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets.

Refactoring: Improving the Design of Existing Code

Fully Revised and Updated–Includes New Refactorings and Code Examples “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” —M. Fowler (1999) For more than twenty years, experienced programmers worldwide have relied on Martin Fowler’s Refactoring to improve the design of existing code and to enhance software maintainability, as well as to make existing code easier to understand.

Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience.

Python for Programmers: with Big Data and Artificial Intelligence Case Studies

The professional programmer’s Deitel guide to Pythonwith introductory artificial intelligence case studies Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.

TensorFlow in 1 Day: Make your own Neural Network

Tensorflow is the most popular Deep Learning Library out there. It has fantastic graph computations feature which helps data scientist to visualize his designed neural network using TensorBoard.

Fullstack React: The Complete Guide to ReactJS and Friends

Stop wasting your time learning React with incomplete and confusing tutorials. There are so many incorrect, confusing, and out-of-date blog articles One tutorial says one thing and another says something completely different. There are too many options

Algorithmic Aspects of Machine Learning

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy.

Ajax: The Definitive Guide

Is Ajax a new technology, or the same old stuff web developers have been using for years? Both, actually. This book demonstrates not only how tried-and-true web standards make Ajax possible, but how these older technologies allow you to give sites a decidedly modern Web 2.0 feel.

Pentaho for Big Data Analytics

Pentaho accelerates the realization of value from big data with the most complete solution for big data analytics and data integration. The real power of big data analytics is the abstraction between data and analytics. Data can be distributed across the cluster in various formats, and the analytics platform should have the capability to talk to different heterogeneous data stores and fetch the filtered data to enrich its value.

Introducing Jakarta EE CDI: Contexts and Dependency Injection for Enterprise Java Development

Discover the Jakarta EE Contexts and Dependency Injection (CDI 2.0) framework which helps you write better code through the use of well-defined enterprise Java-based components and beans (EJBs). If you have ever wanted to write clean Java EE code, this short book is your best guide for doing so: you will pick up valuable tips along the way from your author's years of experience teaching and coding. Introducing Jakarta EE CDI covers CDI 2.0 in detail and equips you with the theoretical underpinnings of Java EE, now Jakarta EE.

Hands-On Cloud-Native Microservices with Jakarta EE

Businesses today are evolving rapidly, and developers now face the challenge of building applications that are resilient, flexible, and native to the cloud. To achieve this, you'll need to be aware of the environment, tools, and resources that you're coding against.

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