Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely...
Get a 360-degree view of digital project management. Learn proven best practices from case studies and real-world scenarios. A variety of project management tools, templates, models, and frameworks are covered.
This book provides an in-depth view of digital project management from initiation to execution to monitoring and...
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along...
Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization's customer information.
When companies choose to roll out Salesforce, users expect it to be the place to find any and all...
Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.
Since the invention of the personal computer, software developers have used x86 assembly language
to create innovative solutions for a wide variety of algorithmic challenges. During the early days of the
PC era, it was common practice to code large portions of a program or complete applications using x86
assembly...
All applications use data, and most applications also need to store this data somewhere. In the world of business solutions, this often meant creating a relational database. However, relational technology is not always the best solution to meet the increasingly complex data-processing requirements of modern business systems, especially when...
One of the current main challenges in the area of scientific computing? is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational...
Database and information systems technologies have been rapidly evolving in several directions over the past years. New types and kinds of data, new types of applications and information systems to support them raise diverse challenges to be addressed. The so-called big data challenge, streaming data management and processing, social networks...
The C Puzzle Book is an excellent choice for all programmers who want to expand on their basic knowledge of the C programming language. Completely compliant with ANSI C, this book has been designed to help readers gain a more thorough understanding of the C syntax and semantics through interesting puzzles that challenge the readers'...
Protect Your Organization Against Massive Data Breaches and Their Consequences
Data breaches can be catastrophic, but they remain mysterious because victims don’t want to talk about them. In Data Breaches, world-renowned cybersecurity expert Sherri Davidoff shines a light on these events,...
