Java Web Scraping Handbook
Web scraping or crawling is the art of fetching data from a third party website by downloading and parsing the HTML code to extract the data you want. It can be hard. From bad HTML code to heavy Javascript use and anti-bot techniques, it is often tricky. Lots of companies use it to obtain knowledge concerning competitor prices, news aggregation, mass email collect. This book will teach you how to extract data from any website, how to deal with AJAX / Javascript heavy websites, break captchas, deploy your scrapers in the cloud and many other advanced techniques. ...
Web scraping or crawling is the art of fetching data from a third party website by downloading and parsing the HTML code to extract the data you want. It can be hard. From bad HTML code to heavy Javascript use and anti-bot techniques, it is often tricky. Lots of companies use it to obtain knowledge concerning competitor prices, news aggregation, mass email collect. This book will teach you how to extract data from any website, how to deal with AJAX / Javascript heavy websites, break captchas, deploy your scrapers in the cloud and many other advanced techniques. ...
Deep Learning with Swift for TensorFlow
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respecti ...
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respecti ...
Modern Front-end Architecture
Learn how to build front-end applications that can help you ship applications faster with fewer defects. Many software projects fail because they are not planned well, or lack organization. Applying strategies from other industries can help you create better software. This book explores the "mise en place" technique from cooking and reveals how you can apply it to the art of creating software. In many professional kitchens, the work of preparing a meal is divided and performed in workstations to help create the whole. You'll review the philosophy behind this and see how to leverage this approach in your code. You'll also learn to visualize your applications as a series of components and build parts of your application in isolation - just like a professional chef crafting each part of the meal. The book describes to how to structure your code base for reuse, and how to communicate the code's intent to other developers. You'll develop your components in isolation and test these bui ...
Learn how to build front-end applications that can help you ship applications faster with fewer defects. Many software projects fail because they are not planned well, or lack organization. Applying strategies from other industries can help you create better software. This book explores the "mise en place" technique from cooking and reveals how you can apply it to the art of creating software. In many professional kitchens, the work of preparing a meal is divided and performed in workstations to help create the whole. You'll review the philosophy behind this and see how to leverage this approach in your code. You'll also learn to visualize your applications as a series of components and build parts of your application in isolation - just like a professional chef crafting each part of the meal. The book describes to how to structure your code base for reuse, and how to communicate the code's intent to other developers. You'll develop your components in isolation and test these bui ...
Reinforcement Learning
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems; Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning; Dive deep into a ran ...
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems; Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning; Dive deep into a ran ...
MATLAB Recipes, 2nd Edition
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snipp ...
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snipp ...
Convolutional Neural Networks with Swift for Tensorflow
Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. ...
Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. ...
Transfer Learning for Natural Language Processing
Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You'll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you'll save on training time and computational costs. Build custom NLP models in record time, even with limited datasets! Transfer learning is a machine learning technique for adapting pretrained machine learning models to solve specialized problems. This powerful approach has revolutionized natural language processing, driving improvements in machine translation, business analytics, and natural language generation. Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions ...
Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You'll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you'll save on training time and computational costs. Build custom NLP models in record time, even with limited datasets! Transfer learning is a machine learning technique for adapting pretrained machine learning models to solve specialized problems. This powerful approach has revolutionized natural language processing, driving improvements in machine translation, business analytics, and natural language generation. Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions ...
Unity in Action, 3rd Edition
Thousands of new game developers have chosen Joe Hocking's Unity in Action as their first step toward Unity mastery. Starting with the initial groundwork of a new game development project, you'll quickly start writing custom code instead of clicking together premade scripts. This fully updated third edition comes packed with fully refreshed graphics, Unity's latest features, and coverage of augmented and virtual reality toolkits. You'll master the Unity toolset from the ground up, learning the skills to go from application coder to game developer. Writing games is rewarding and fun - and with Unity, it's easy to get started! Unity handles the heavy lifting, so you can focus on game play, graphics, and user experience. C# support and a huge ecosystem of prebuilt components help even first-time developers go from the drawing board to the screen fast. Unity in Action, 3rd Edition teaches you to create games with the Unity game platform. It's many 2D, 3D, and AR/VR game examples give ...
Thousands of new game developers have chosen Joe Hocking's Unity in Action as their first step toward Unity mastery. Starting with the initial groundwork of a new game development project, you'll quickly start writing custom code instead of clicking together premade scripts. This fully updated third edition comes packed with fully refreshed graphics, Unity's latest features, and coverage of augmented and virtual reality toolkits. You'll master the Unity toolset from the ground up, learning the skills to go from application coder to game developer. Writing games is rewarding and fun - and with Unity, it's easy to get started! Unity handles the heavy lifting, so you can focus on game play, graphics, and user experience. C# support and a huge ecosystem of prebuilt components help even first-time developers go from the drawing board to the screen fast. Unity in Action, 3rd Edition teaches you to create games with the Unity game platform. It's many 2D, 3D, and AR/VR game examples give ...
Natural Language Processing with Transformers
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering; Learn how transformers can be used for cross-lingu ...
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering; Learn how transformers can be used for cross-lingu ...
HackSpace Magazine: Issue 53
Things fall apart, the centre cannot hold. That's why repair skills are so important! This month we're talking upcycling - the art of making beautiful new projects out of old junk. Plus: what happens when your just-for-kicks project turns out to be something that loads of people want? We talk to Timon Skerutsch, creator of the Piunora, to find out. And can you use open source technology to keep satellites in orbit? Of course you can - we meet someone who'll tell you all about it. - Sheet metal CAD - Logic chips - PCB buttons - The smallest RP2040 board we've seen yet ...
Things fall apart, the centre cannot hold. That's why repair skills are so important! This month we're talking upcycling - the art of making beautiful new projects out of old junk. Plus: what happens when your just-for-kicks project turns out to be something that loads of people want? We talk to Timon Skerutsch, creator of the Piunora, to find out. And can you use open source technology to keep satellites in orbit? Of course you can - we meet someone who'll tell you all about it. - Sheet metal CAD - Logic chips - PCB buttons - The smallest RP2040 board we've seen yet ...