Girish Suryanarayana is currently a Senior Research Scientist at Research and Technology Center, Siemens Technology and Services Pvt. Ltd. Bangalore, India. At Siemens, he is involved in providing architectural guidance to software development teams, pursuing research in topics related to software architecture and cloud computing, and conducting internal software design and architecture training. Girish is a member of the IEEE Software Advisory Board and is the General Chair for the IEEE Software Experts Summit 2014 conference. He actively contributes to software engineering conferences. In 2013, he was on the program committee for the Software Engineering In Practice (SEIP) track at the 35th International Conference on Software Engineering (ICSE). Girish received a PhD in Information and Computer Science from the University of California, Irvine, in 2007. His research interests include software architecture, design patterns, design smells, refactoring, cloud computing, and reputation-based trust management systems. He is an IEEE-certified Software Engineering Certified Instructor (SECI) and regularly conducts training for the IEEE SWEBOK Certificate Program (SCP) and IEEE Certified Software Development Associate (CSDA) programs. He has also helped contribute course material for the IEEE’s SWEBOK Certificate Program (SCP). He is regularly invited by local universities to deliver guest lectures on software architecture and design topics. Additionally, he is the General Chair for IEEE SES (Software Expert Summit) 2014 which is being organized by IEEE Software.
Ganesh Samarthyam has more than 11 years of experience in the IT industry. He is an independent consultant and corporate trainer based in Bangalore, India. Earlier, he worked for the Software Architecture and Development team in Siemens Corporate Research & Technologies in Bangalore. His work involved providing consultancy to development teams on code and design quality, pursuing applied research in the areas of software design, and conducting trainings on topics related to software design and refactoring and quality-driven development. Prior to Siemens, he worked in Hewlett-Packard's C++ compiler team for 5 years where he also represented HP in the ANSI/ISO C++ standardization committee. He is an IEEE-certified Software Engineering Certified Instructor (SECI) and regularly conducts training for the IEEE SWEBOK Certificate Program (SCP) and IEEE Certified Software Development Associate (CSDA) program. He has also helped contribute course material for the IEEE’s SWEBOK Certificate Program (SCP). Ganesh has authored/co-authored several books on programming. His latest book titled "Oracle Certified Professional Java SE 7 Programmer Exams 1Z0-804 and 1Z0-805" (co-authored with Tushar Sharma) has been published by Apress in 2013. In his free time, he also regularly contributes to a column on software programming and design in “Open Source For You magazine. His areas of interest include design smells and refactoring, bug patterns, software quality assessment methods, and programming languages. He can be reached at email@example.com.
Tushar Sharma is currently a Technical Expert in the Software Architecture and Development group at the Research and Technology Center, Siemens Technology and Services Pvt. Ltd., Bangalore, India. His work at Siemens involves researching and providing consultation on topics related to software design, refactoring, testability, design patterns, and change impact analysis. He has a Masters degree in Computer Science from the Indian Institute of Technology-Madras (IIT-M), Chennai, India, where he specialized in design patterns and refactoring. Tushar conducts several internal training sessions on topics related to software design and refactoring. He has been actively pursuing his research interests that resulted in several patents, research papers, and tools related to software design and refactoring. He is also the co-author of the book “Oracle Certified Professional Java SE 7 Programmer Exams 1Z0-804 and 1Z0-805" published by Apress in 2013. Additionally, he is the Local Publicity Chair for IEEE SES (Software Expert Summit) 2014.
In clear and approachable prose, design pro Tynan Sylvester also looks at the day-to-day process necessary to keep your project on track, including how to work with a team, and how to avoid creative dead ends. Packed with examples, this book will change your perception of game design.Create game mechanics to trigger a range of emotions and provide a variety of playExplore several options for combining narrative with interactivityBuild interactions that let multiplayer gamers get into each other’s headsMotivate players through rewards that align with the rest of the gameEstablish a metaphor vocabulary to help players learn which design aspects are game mechanicsPlan, test, and analyze your design through iteration rather than deciding everything up frontLearn how your game’s market positioning will affect your design
This book introduces the theory and practice of pattern-directed refactorings: sequences of low-level refactorings that allow designers to safely move designs to, towards, or away from pattern implementations. Using code from real-world projects, Kerievsky documents the thinking and steps underlying over two dozen pattern-based design transformations. Along the way he offers insights into pattern differences and how to implement patterns in the simplest possible ways.
Coverage includes:A catalog of twenty-seven pattern-directed refactorings, featuring real-world code examples Descriptions of twelve design smells that indicate the need for this book’s refactorings General information and new insights about patterns and refactoring Detailed implementation mechanics: how low-level refactorings are combined to implement high-level patterns Multiple ways to implement the same pattern–and when to use each Practical ways to get started even if you have little experience with patterns or refactoring
Refactoring to Patterns reflects three years of refinement and the insights of more than sixty software engineering thought leaders in the global patterns, refactoring, and agile development communities. Whether you’re focused on legacy or “greenfield” development, this book will make you a better software designer by helping you learn how to make important design changes safely and effectively.
Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered.Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment.
Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem.
Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today!What You'll LearnExecute end-to-end machine learning projects and systems