Programming Machine LearningPeel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go.
Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.
Start from the beginning and code your ...
Real-Time PhoenixReal-time applications come with real challenges - persistent connections, multi-server deployment, and strict performance requirements are just a few. Don't try to solve these challenges by yourself - use a framework that handles them for you. Elixir and Phoenix Channels provide a solid foundation on which to build stable and scalable real-time applications. Build applications that thrive for years to come with the best practices found in this book.
Understand the magic of real-time communication by inspecting the WebSocket protocol in action. Avoid performance pitfalls early in the development life cycle with a catalog of common problems and their solutions. Leverage GenStage to build a data pipeline that improves scalability. Break your application before your users do and deploy with confidence. Build a real-world project using solid application design and testing practices that help make future changes a breeze. Create distributed apps that can scale to many users with tools li ...
Build Talking Apps for AlexaFor decades, voice-enabled computers have only existed in the realm of science fiction. But now the Alexa Skills Kit (ASK) lets you develop your own voice-first applications. Leverage ASK to create engaging and natural user interfaces for your applications, enabling them to listen to users and talk back. You'll see how to use voice and sound as first-class components of user-interface design.
We'll start with the essentials of building Alexa voice applications, called skills, including useful tools for creating, testing, and deploying your skills. From there, you can define parameters and dialogs that will prompt users for input in a natural, conversational style.
Integrate your Alexa skills with Amazon services and other backend services to create a custom user experience. Discover how to tailor Alexa's voice and language to create more engaging responses and speak in the user's own language. Complement the voice-first experience with visual interfaces for users on screen-based ...
2D Game Development: From Zero to HeroThis is a small project that aims to gather some knowledge about game development and make it available to everyone.
As well as being a source of knowledge this project aims to be a learning experience for everyone involved too, by gathering contributions from the community, teaching others how to make a game, teaching algorithms but also learning tips and tricks from people who are more experienced. ...
Kubernetes Best PracticesIn this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples.
This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time.
Set up and develop applications in Kubernetes; Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks; Understand Kubernetes networking policies and where service mesh fits in; Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes; Run machine learning workloads in Kubernetes ...
Programming for Computations - Python, 2nd EditionThis book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected.
The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and ...
Annotated Algorithms in PythonThis book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist interested in numerical algorithms and by students interested in computational finance.
The algorithms you will learn can be applied to different disciplines. Throughout history, it is not uncommon that an algorithm invented by a physicist would find application in, for example, biology or finance. ...
Azure Strategy and Implementation Guide, 3rd EditionMicrosoft Azure is a powerful cloud computing platform that offers a multitude of services and capabilities for organizations of any size moving to a cloud strategy.
Azure Strategy and Implementation Guide Third Edition encapsulates the entire spectrum of measures involved in Azure deployment that includes understanding Azure fundamentals, choosing a suitable cloud architecture, building on design principles, becoming familiar with Azure DevOps, and learning best practices for optimization and management.
The book begins by introducing you to the Azure cloud platform and demonstrating the substantial scope of digital transformation and innovation that can be achieved by leveraging Azure's capabilities. The guide further acquaints you with practical insights on application modernization, Azure Infrastructure as a Service (IaaS) deployment, infrastructure management, key application architectures, best practices of Azure DevOps, and Azure automation.
By the end of this book, you ...
Don't Panic: Mobile Developer's Guide to The Galaxy, 18th EditionThis project was initiated in 2009 with the aim to spread knowledge about mobile technologies and encourage people to enter our community or deepen their existing knowledge.
More than twenty writers from the mobile community share their know-how in dealing with topics such as accessibility in mobile apps, UX design, mobile analytics, prototyping, cross-platform development, native development, mobile web and app marketing. ...
Reintroducing ReactIn this book, unlike any you may have come across before, I will deliver funny, unfeigned & dead serious comic strips about every React update since v16+. It'll be hilarious, easy on beginners as well as professionals, and will be very informative as a whole.
From the new Lifecycle methods to Advanced Hooks Patterns in React, I've got you...
If you learned React a while back it's not impossible that you haven't been up to date with every new feature/release. It's also possible to get lost on all the new features. Where exactly do you start? How important are they for your day to day use?
Modern React has new interesting features that are worth your attention. It's best to know those now, and not have to unlearn and relearn newer concepts. ...