Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax, you will work through data …
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep lear…
Get started in white-hat ethical hacking using Kali Linux. This book starts off by giving you an overview of security trends, where you will learn the OSI security architecture. This will form the foundation for the rest of Beginning Ethical Hacking with Kali Linux. With the theory out of the way, you'll move on to an introduction to VirtualBox, net…
Navigate the tricky issues around cross-browser inconsistencies and use jQuery to avoid wasting time fixing these bugs. This book is your step-by-step guide to learning the jQuery library and allows you to concentrate on what really matters to you, mastering the most popular JavaScript library in a web developer's toolkit.
Throughout this book, y…
This'is a concise and conversational textbook in the growing field of Data Analytics. Easy to read and informative, this lucid book covers important concepts with concrete examples, and invites the reader to join this field.
This book is designed to provide a learner with the intuition behind this evolving area, along with a solid toolset of the …
This book shares the emerging data analysis technique through R programming. It will lay a proper foundation of R language for beginners and strengthen the fundamentals for postgraduates, researchers and professionals alike. From basic installation of R, this book covers concepts such as importing data from other sources, statistical models to analy…
Software Testing: Principles, Techniques and Tools employs an integrated approach to test management, techniques and process requirement activities. This text uses testing tools, processes and case designs as few of the many elements that prepare the audience to be a worthy keeper of the 'Quality Gate'.
Salient features;
An integrated approach t…
This book is designed for the first course on Neural Networks. Integration of MATLAB throughout the book is its unique feature. Beginners to the subject will find the explanations easy to comprehend.
SALIENT FEATURES
Application of Neural Networks to areas like Bioinformatics, Robotics, Communication, Image Processing, Pattern Recognition, Con…
This book follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code. It uses the simplest programming style to create a GUI in Python, and then moves on to cover using object-oriented programming in later chapters.
Over the course of the book, you will develop an entire GUI application, build…
Deep learning doesn't have to be intimidating. Until recently, this machine "Thi learning method required years of study, but with frameworks such as Keras and TensorFlow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep learning problems for cl…