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Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
...
Using Installed Base Selling to Maximize Revenue: A Step-by-Step Approach to Achieving Long-Term Profitable Growth
Using Installed Base Selling to Maximize Revenue: A Step-by-Step Approach to Achieving Long-Term Profitable Growth

There is no such thing as an easy sale. However, selling to an existing customer?whether by refreshing an old product or introducing a new and different product?is often easier, faster, and returns higher margins. Centering your organization’s sales strategy on your installed base is a smart and proven way to achieve...

Microsoft Sql Server 2012 Master Data Services 2/E
Microsoft Sql Server 2012 Master Data Services 2/E

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Deploy and Maintain an Integrated MDS Architecture

Harness your master data and grow revenue while reducing...

Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions
Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions

In a global, highly competitive environment, organizations face increasing economic pressure and customer demands for more complex products and services. Hybrid algorithms have the potential to play an important role in helping organizations achieve cost reduction and increased product development.

Hybrid Algorithms...

Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects
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Functional Interfaces in Java: Fundamentals and Examples
Functional Interfaces in Java: Fundamentals and Examples
Reduce development time by organizing your programs as chains of functional interfaces and see that the advantages of using functional interfaces include the flexibility and power of inlined functional chains and reuse of functional methods utilized throughout the Java API. You’ll see how complex logical expressions can be reduced...
Professional Red Teaming: Conducting Successful Cybersecurity Engagements
Professional Red Teaming: Conducting Successful Cybersecurity Engagements

Use this unique book to leverage technology when conducting offensive security engagements. You will understand practical tradecraft, operational guidelines, and offensive security best practices as carrying out professional cybersecurity engagements is more than exploiting computers, executing scripts, or utilizing tools.

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API Development: A Practical Guide for Business Implementation Success
API Development: A Practical Guide for Business Implementation Success

Implement application programming interface (API) usability, security, availability, reliability, and scalability to extend your company’s market and potentially generate revenue. Businesses know they need to extend their markets into the digital world, and expose internal data to the Internet. This book shows how stakeholders...

Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Java EE 8 and Angular: A practical guide to building modern single-page applications with Angular and Java EE
Java EE 8 and Angular: A practical guide to building modern single-page applications with Angular and Java EE

Learn how to build high-performing enterprise applications using Java EE powered by Angular at the frontend

Key Features

  • Leverage Java EE 8 features to build robust back end for your enterprise applications
  • Use Angular to build a single page frontend and combine it with...
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...
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