This book comprises the analytics process and ways of developing analytics capabilities in organizations. Organizations require, for the application of analytics, a guide in order to use proper data t
Are you keen to add Python to your programming skills? Learn quickly and have some fun at the same time withHead First Python. This updated book takes you beyond typical how-to manuals with engaging i
Investment Analytics: Theory and Practice is a textbook designed for: Advanced undergraduates hoping to acquire a solid introduction to investment analytics used by the asset management industry Gradu
Investment Analytics: Theory and Practice is a textbook designed for: Advanced undergraduates hoping to acquire a solid introduction to investment analytics used by the asset management industry Gradu
Computer scientists along with engineers in several fields address various challenges in operation management and how to overcome them using big data analytics. Among their topics are applying arti
Introduction to Business Analytics using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive
Disruptive Analytics: Charting Your Strategy for Business Analytics 2.0 teaches corporate personnel and consultants what they need to know about seven key technology trends rocking the world of predic
With practical and realworld examples from data mining to statistics to service science to decision making, this is the first mathematically rigorous treatment of healthcare analytics. Appropriate for
Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, suc
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and n
Authors Kimbrough and Lau present readers with a comprehensive examination of model analytics for use in constrained optimization and other applications. The book is intended for use by upper undergra
Cult of Analytics enables professionals to build an analytics driven culture into their business or organization. Marketers will learn how to turn tried and tested tactics into an actionable plan to c
Cult of Analytics enables professionals to build an analytics driven culture into their business or organization. Marketers will learn how to turn tried and tested tactics into an actionable plan to c
Gain a competitive edge with IBM StreamsTurn data-in-motion into solid business opportunities with IBM Streams and letStreaming Analytics with IBM Streams show you how. This comprehensive guide starts
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wr
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deployin
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming lan
Drive better business strategy with practical analytics for people dataOptimize Your Greatest Asset — Your People brings advanced analytics into Human Resources, giving you a framework for optimizing
If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. Basic knowledge of Python i
Organizations of all types have discovered the immense power of predictive analytics for improving decision-making and profitability. Not everyone has access to expensive predictive analytics tools, a
In Google Analytics Integrations, expert Daniel Waisberg provides to web professionals a roadmap for turning Google Analytics into a centralized marketing-analysis platform to glean more insightful da
Big Data Analytics For Dummies provides an understanding of how the analytics process on large or mixed data types differs from traditional data mining and predictive analytics methodologies. The book
It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as we
If you are a Python programmer or a security researcher who has basic knowledge of Python programming and want to learn about penetration testing with the help of Python, this book is ideal for you. E
This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can
A series of business processes within healthcare including data architecture, software, analytics, and data visualization are required to make big data and health analytics possible. In this book some
Equipped with new spatial tracking data collected by SportVU and others, Basketball Analytics investigates game strategy, player evaluation, player types, and prospect potential. Author Stephen Shea,
A guide to completing Python projects for those ready to take their skills to the next levelPython Projects is the ultimate resource for the Python programmer with basic skills who is ready to move be
Automatically organize information for search, discovery, and analysis in record time with minimal resources using Oracle Endeca Information Discovery Master Competitive Analytics with Oracle Endeca I
With the widespread availability of high-speed, high-capacity microprocessors and microcomputers with high-speed communication ability, and sophisticated energy analytics software, the technology to s
A high-level, informal look at the different stages of the predictive analytics cycleUnderstanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics ini
Construct a robust end-to-end solution for analyzing and visualizing streaming dataReal-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and V
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate
Advanced Python for Biologists is a programming course for workers in biology and bioinformatics who want to develop their programming skills. It starts with the basic Python knowledge outlined in Pyt
Helping tech-savvy marketers and data analysts solve real-world business problems with ExcelUsing data-driven business analytics to understand customers and improve results is a great idea in theory,
An easy-to-follow, step-by-step tutorial full of examples and code to help you quickly get started with Flurry analytics. This book is great for developers who want to track their applications instant
As the field of business analytics continues to emerge, there is a dearth of textbooks geared towards this market. Reflecting the growing importance of analytics, this book presents important areas of
Kivy: Interactive Applications in Python is an easy-to-follow book that will guide you into the world of Kivy. This book is aimed at Python developers who are familiar with Python and have a good unde
Improve patient outcomes, lower costs, reduce fraud—all with healthcare analyticsHealthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic
