Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.
Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian...
Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.
Each chapter in this book is presented as a full week of...
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...
This book introduces readers to the latest state of research and development in seamless learning. It consolidates various approaches to and practices in seamless learning from a range of techno-pedagogical, socio-situated and socio-cultural perspectives. Further, it details our current understanding of learning...
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....
The motto of this book is smarter through laughter. If you can laugh about it, you can probably change it. The authors use a heavy dose of humor (the laughing side), and a healthy measure of science (the learning side) to help you improve yourself, your relationships, and your surroundings. The book introduces the “I CAN...
This book takes a humorous slant on the programming practice manual by reversing the usual approach: under the pretence of teaching you how to become the world’s worst programmer who generally causes chaos, the book teaches you how to avoid the kind of bad habits that introduce bugs or cause code contributions to be rejected....
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Key Features
Learn the fundamentals of Python programming with interactive projects
