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Introduction to Product Ownership Analysis Understanding Digital Marketing Introduction to Machine Learning with Python PROGRAMMING IN ANSI C Ihtreek

Introduction to Product Ownership Analysis

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This document introduces the business analysis community to the Product Ownership Analysis (POA) domain. As more organizations transition from project-centric models to a product-centric view, it is important to understand how product ownership is evolving and what it takes to deliver successful products. This Introduction is followed by the "IIBA Guide to Product Ownership Analysis”.

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Understanding Digital Marketing

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You already know the world of digital media is changing at a phenomenal pace. Its constantly evolving technologies, and the way people are using them, is transforming not just how you access your information, but how you interact and communicate with your friends and colleagues on a globalscale. It has also changed the way you choose and buy products and services. People are embracing digital technology to communicate in ways that would have been inconceivable just a few short years ago. No longer the preserve of tech-savvy early adopters, today ordinary people are integrating digital technologies seamlessly into their everyday lives. From SMS updates on their favourite sports teams, to a free video call with relatives on the other side of the globe, to collaborative online gaming and much, much more: ordinary people – your customers – are starting to use digital media without giving it a second thought

Introduction to Machine Learning with Python

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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You'll learn the steps necessary to create a successful machine learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

"This book is a fantastic, super-practical resource for anyone who wants to start using machine learning in Python-I just wish it had existed when + I started using scikit learn!"
-Hanna Wallach Senior Researcher, Microsoft Research


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The book starts with an overview of C, which talks about the history of C, basic structure of C programs and their execution. Chapter 2 discusses how to declare the constants, variables and data types.

Chapter 3 describes the built-in operators and how to build expressions using them. Chapter 4 details the input and output operations. Decision making and branching is discussed in Chapter 5, which talks about the if-else, switch and go to statements. Further, decision making and looping is discussed in Chapter 6, which covers while, do and for loops. Arrays and ordered arrangement of data elements are important to any programming language and have been covered in Chapters 7 and 8. Strings are also covered in Chapter 8 Chapters 9 and 10 are on functions, structures and unions. Pointers, perhaps the most difficult part of C to understand is covered in Chapter 11 in the most user-friendly manner. Chapters 12 and 13 are on file management and dynamic memory allocation respectively. Chapter 14 deals with the preprocessor, and finally Chapter 15 is on developing a C program, which provides an insight on how to proceed with development of a program.

The above organization would help the students in understanding C better if followed appropriately. The content has been revised keeping the updates which have taken placed in the field of C programming and the present day syllabus needs. As always, the concept of learning by example has been stressed throughout the book. Each major feature of the language is treated in depth followed by a complete program example to illustrate its use. The sample programs are meant to be both simple and educational.

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