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Author Trevor Grant , Holden Karau , Ilan Filonenko
If you’re training a machine learning model but aren’t sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model’s lifecycle, from data exploration, feature preparation, and model....
Release Date 2020/10 -
Author Ashwin Pajankar
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizati....
Release Date 2020/10 -
Oracle Database Transactions and Locking Revealed: Building High Performance Through Concurrency
Author Darl Kuhn , Thomas Kyte
Access much-needed information for building scalable, high-concurrency applications and deploying them against the Oracle Database. This new edition is updated to be current with Oracle Database 19. It includes a new chapter with troubleshooting recipes to help you quickl....
Release Date 2020/10 -
Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
Author Harsh Chawla , Pankaj Khattar
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how:To architect data lake analytics ....
Release Date 2020/10 -
Creating Good Data: A Guide to Dataset Structure and Data Representation
Author Harry J. Foxwell
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.Data analysts are often presented with d....
Release Date 2020/10 -
Beginning R 4 : From Beginner to Pro
Author Matt Wiley , Joshua F. Wiley
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting s....
Release Date 2020/10 -
Pro Microsoft Power Platform: Solution Building for the Citizen Developer
Author Mitchell Pearson , Brian Knight , Devin Knight
Become a self-sufficient citizen developer by learning the tools within the Microsoft Power Platform and how they can be used together to drive change and multiply your productivity. Learn about PowerApps for building applications, Power Automate for automating business p....
Release Date 2020/10 -
Azure SQL Revealed: A Guide to the Cloud for SQL Server Professionals
Author Bob Ward
Access detailed content and examples on Azure SQL, a set of cloud services that allows for SQL Server to be deployed in the cloud. This book teaches the fundamentals of deployment, configuration, security, performance, and availability of Azure SQL from the perspect....
Release Date 2020/10 -
Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing
Author Ryan Wade
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are ....
Release Date 2020/10 -
AI and UX: Why Artificial Intelligence Needs User Experience
Author Gavin Lew , Robert M. Schumacher Jr.
As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologi....
Release Date 2020/10 -
Reimagining Businesses with AI
Discover what AI can do for your business with this approachable and comprehensive resourceReimagining Businesses with AI acquaints readers with both the business challenges and opportunities presented by the rapid growth and progress of artificial intelligence. The accomplished authors and digital .... -
AI in Manufacturing and Green Technology
This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufactur.... -
Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions
More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data, such as the.... -
Implementing the IBM FlashSystem 5010 and FlashSystem 5030 with IBM Spectrum Virtualize V8.3.1
Organizations of all sizes face the challenge of managing massive volumes of increasingly valuable data. But storing this data can be costly, and extracting value from the data is becoming more difficult. IT organizations have limited resources, but must stay responsive to dynamic environments and a.... -
Service Procedures for Linux on IBM Power Systems Servers
Collecting data on first occurance of the problem can id in problem determination and timely resolution of defects. At IBM®, this process of collecting data on first occurance if often referred to as First Failure Data Capture (FFDC). Gathering this data before reporting a defect helps to understand.... -
IBM Power System S822 Technical Overview and Introduction
This IBM® Redpaper™ publication is a comprehensive guide covering the IBM Power System S822 (8284-22A) server that supports the IBM AIX® and Linux operating systems (OSes) running on bare metal, and the IBM i OS running under the VIOS. The objective of this paper is to introduce the major innovative.... -
Deep Reinforcement Learning with Python - Second Edition
An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms wi.... -
Author Dr. Pablo Rivas , Laura Montoya
Implementing supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine over TensorFlow.Key FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement dee....
Release Date 2020/09 -
Author Doug Bierer
Design, administer, and deploy high-volume and fault-tolerant database applications using MongoDB 4.xKey FeaturesBuild a powerful and scalable MongoDB database using real industry dataUnderstand the process of designing NoSQL schema with the latest release of MongoDB 4.xE....
Release Date 2020/09 -
Customer Data and Privacy: The Insights You Need from Harvard Business Review
Author Harvard Business Review , Timothy Morey , Andrew Burt
Collect data and build trust.With the rise of data science and machine learning, companies are awash in customer data and powerful new ways to gain insight from that data. But in the absence of regulation and clear guidelines from most federal or state governments, it's ....
Release Date 2020/09 -
Author Eóin Shanaghy , Peter Elger
AI as a Service is a fast-paced guide to harnessing the power of cloud-based solutions. You'll learn to build real-world apps—such as chatbots and text-to-speech services—by stitching together cloud components. Work your way from small projects to large data-intensive ap....
Release Date 2020/09 -
Author Dean Wampler
The use of distributed programming is increasing. High availability requires multiple machines and often multiple data centers. Machine learning and AI models are run as parallel tasks on clusters to reduce training time. But distributed programming has always been hard t....
Release Date 2020/09 -
Author Carl Allchin
For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include....
Release Date 2020/09 -
Author Aileen Nielsen
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessi....
Release Date 2020/09 -
Analytical Thinking for AI and Data Science
Author Daniel Vaughan
While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the potenti....
Release Date 2020/09 -
Practical TensorFlow.js: Deep Learning in Web App Development
Author Juan De Dios Santos Rivera
Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow.js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies ....
Release Date 2020/09