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IBM Integrated Synchronization: Incremental Updates Unleashed
The IBM® Db2® Analytics Accelerator (Accelerator) is a logical extension of Db2 for IBM z/OS® that provides a high-speed query engine that efficiently and cost-effectively runs analytics workloads. The Accelerator is an integrated back-end component of Db2 for z/OS. Together, they provide a hybrid w.... -
Introduction to Business Analytics, Second Edition
This book presents key concepts related to quantitative analysis in business.It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative s.... -
Sustainability Reporting and Communications
This book is intended to be a practical introduction to sustainability reporting and communications that begins by discussing material legal and regulatory considerations and the some of the major sustainability reporting frameworks and then continues with detailed illustrations of how companies mig.... -
SAS Visual Analytics for SAS Viya
Discover your data and create reports in an elegant and intuitive web-based interface!SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigating your data and creating reports with SAS Visual Analytics, a web-based tool that enables you to explore huge volumes o.... -
Microsoft Power Platform Functional Consultant: PL-200 Exam Guide
Get up to speed with expert tips, techniques, and the latest insights to confidently take the PL-200 examKey FeaturesLearn effectively with the help of self-assessment questions, mock tests, and detailed explanations in this up-to-date study guideAddress the challenges faced by a functional consulta.... -
Hands-On Image Generation with TensorFlow
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratchKey FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos.... -
Mastering Reinforcement Learning with Python
Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practicesKey FeaturesUnderstand how large-scale state-of-the-art RL algorithms and approaches.... -
Dimensional Analysis and Similarity in Fluid Mechanics
Dimensional analysis is the basis for the determination of laws that allow the experimental results obtained on a model to be transposed to the fluid system at full scale (a prototype). The similarity in fluid mechanics then allows for better redefinition of the analysis by removing dimensionless el.... -
Grokking Deep Reinforcement Learning
Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You'll see how algorithms function and learn to develop your own DRL agents using evaluative .... -
Managing Data Orchestration and Integration at Scale
Author Kevin Poskitt , Ginger Gatling
Why is data integration still a challenge today? And what does data orchestration mean? In this report, Kevin Poskitt and Ginger Gatling from SAP provide in-depth examples that show how companies have evolved from using data integration to data orchestration. By combining....
Release Date 2020/12 -
What Is Data Governance? Understanding the Business Impact
Author Andy Petrella
Data isn't just a commodity. It's a capital asset for driving businesses, creating value, and inspiring new ventures. Like money, data must be treated sustainably and with a serious dose of respect. Once you govern it properly and instill confidence in its quality, data....
Release Date 2020/12 -
Author James Urquhart
Dominated by streaming data and events, the next generation of software development optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that....
Release Date 2020/12 -
Practical AI on the Google Cloud Platform
Author Micheal Lanham
AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. In this book, AI novices will learn how to use Google’s AI-powered cloud services to do everything....
Release Date 2020/12 -
Author Sandeep Uttamchandani
The world’s most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hour....
Release Date 2020/12 -
Blueprints for Text Analytics Using Python
Author Jens Albrecht , Sidharth Ramachandran , Christian Wink
Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. There have been many improvements in natural language processing and users have a lot of options when choosing to work on a problem. However, it’s not always c....
Release Date 2020/12 -
Beginning T-SQL: A Step-by-Step Approach
Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now.... -
ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them i.... -
Machine Learning and AI for Healthcare : Big Data for Improved Health Outcomes
This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine.... -
Deep Reinforcement Learning in Unity: With Unity ML Toolkit
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and.... -
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Scie.... -
Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows
Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure....