Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only requirement being an Internet connection. The Colab ecosystem provides everything else that you need, in...

Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab’s default install of the most current TensorFlow 2.x along with Colab’s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner ...

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine.

Web Programming for Business: PHP Object-Oriented Programming with Oracle focuses on fundamental PHP coding, giving students practical, enduring skills to solve data and technical problems in business.Using Oracle as the backend database, the book is version-neutral, teaching students code that will still work even with changes to PHP and Oracle. The code is clean, clearly explained and solutions-oriented, allowing students to understand how technologies such as XML, RSS o...

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.The book is self-contained. All of the math, statistics, stoch...

Systems Thinkers presents a biographical history of the field of systems thinking, by examining the life and work of thirty of its major thinkers. It discusses each thinker’s key contributions, the way this contribution was expressed in practice and the relationship between their life and ideas. This discussion is supported by an extract from the thinker’s own writing, to give a flavour of their work and to give readers a sense of which thinkers are most relevant to their own interests.

Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. Th...

This book gathers together, in a new way, established and contemporary thinking about how to get the best out of information technology and information systems investments. Working managers who are beset by the complexities of information management in the age of Big Data and the Social Web, and students who are trying to make sense of information management in a chaotic world that is more and more driven by the Internet, will all benefit from this new treatment of a long-standing and prob...

This book summarizes the results of Design Thinking Research carried out at Stanford University in Palo Alto, California, USA and Hasso Plattner Institute in Potsdam, Germany. The authors offer readers a closer look at Design Thinking with its processes of innovations and methods. The contents of the articles range from how to design ideas, methods and technologies via creativity experiments and wicked problem solutions, to creative collaboration in the real world and the connectivity of d...

This book constitutes revised and extended versions of the best papers from the 10th Conference on Information Systems Management (ISM 2015) and 13th Conference on Advanced Information Technologies for Management (AITM 2015), held in Lodz, Poland, September 2015 as part of the Federated Conference on Computer Science and Information Systems (FedCSIS 2015).These events constitute a forum for the exchange of ideas for practitioners and theorists working in the broad area of informati...

Information Security Science: Measuring the Vulnerability to Data Compromises provides the scientific background and analytic techniques to understand and measure the risk associated with information security threats. This is not a traditional IT security book since it includes methods of information compromise that are not typically addressed in textbooks or journals. In particular, it explores the physical nature of information security risk, and in so doing exposes subtle, yet revealing...

This book constitutes revised selected papers from the 14th Conference on Advanced Information Technologies for Management, AITM 2016, and the 11th Conference on Information Systems Management, ISM 2016, held as part of the Federated Conference on Computer Science and Information Systems, FedCSIS, which took place in Gdansk, Poland, in September 2016.The 13 papers presented in this volume were carefully reviewed and selected from 51 submissions. They were organized in topical sectio...