Home | Amazing | Today | Tags | Publishers | Years | Account | Search
 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 Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: - How to measure your own level of uncertainty in a conclusion or belief - Calculate Bayes theorem and understand what it's useful for - Find the posterior, likelihood, and prior to check the accuracy of your conclusions - Calculate distributions to see the range of your data - Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

#### Key Features

• Enhance your skills to grow your career as a software architect
• Design efficient software architectures using patterns and best practices
• Learn...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

#### Key Features

• Build a strong foundation in neural networks and deep learning with Python libraries
• Explore advanced deep learning techniques and their applications...
Node.js Web Development: Server-side development with Node 10 made easy, 4th Edition

Create a fault-tolerant backend for your real-time applications using Docker, Node.js 10, and MongoDB, and implement HTTPS for hardened security

#### Key Features

• Learn server-side programming with JavaScript and Node.js 10
• Explore the latest JavaScript features and ECMAScript...

Expert SQL Server Transactions and Locking: Concurrency Internals for SQL Server Practitioners
Some time ago, one of my colleagues asked me, “What do you like about SQL Server the most?” I had heard this question many times before, and so I provided my usual answer: “SQL Server Internals. I like to understand how the product works and solve complex problems with this knowledge.”

His
...
Illustrated C# 7: The C# Language Presented Clearly, Concisely, and Visually

Get to work quickly with C# with a uniquely succinct and visual format used to present the C# 7.0 language. Whether you’re getting to grips with C# for the first time or working to deepen your understanding, you’ll find this book to be a clear and refreshing take on each aspect of the language.

Figures are of...

Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition

Leverage Docker to deploying software at scale

#### Key Features

• Leverage practical examples to manage containers efficiently
• Integrate with orchestration tools such as Kubernetes for controlled deployments
• Learn to implement best practices on improving...