Kirjahaku

This book is an excellent guide for you on how to accomplish various tasks on the Google Cloud Platform. It will help you know the various services provided by the Google Cloud Platform and how you can access and use them. Examples of such services include the Compute Services, Networking Services, Storage and Database Services, Big Data Services, Machine Learning Services and Identity & Security Services. The author helps you know how to manage access to your Google Cloud Platform projects. The process of creating and administering the various types of clusters on the Google Cloud Platform has been discussed. The various forms of storages that one can use on the Google Cloud Platform have also been discussed. The author uses a step-by-step approach to make it easy for your understanding. Screenshots have been added to make each step clear.Table of contents what you'll know: - What is Google Cloud Platform (GCP)?- Google Cloud Services- Google App Engine- Identity Access Management in Google Cloud- Cluster Administration- StorageTags: google cloud platform, compute server, networking server, storage server, database services, big data server, machine learning, identity services, security services, gcp, google cloud, creating account, cloud sql, google bigquery, SSDs, cloud DNS, google platform, google cloud, database server hardware, platform strategy.

This book is an exploration of deep learning in Python using PyTorch. The author guides you on how to create neural network models using PyTorch in Python. You will know the initial steps of getting started with PyTorch in Python. This involves installing PyTorch and writing your first code. PyTorch works using the concept of graphs. The author helps you know how build neural network graphs in PyTorch. Deep learning in Python with PyTorch simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into PyTorch for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models.This book will help you to understand: - Why PyTorch for Deep Learning?- Getting Started with PyTorch- Building a Neural Network- Loading and Processing Data- Convolutional Neural Networks- Transfer Learning- Developing Distributed Applications- Word Embeddings- Moving a Model from PyTorch to Caffe2- Custom C Extensions- Neural Transfer with PyTorchTags: pytorch deep learning, python programming, python, python data science handbook, neural network python, tensorflow python, tensorflow for deep learning, python code programming.

This book is a discussion about machine learning. It is the best book for those with little or no knowledge about machine learning. The book begins by helping you understand what machine learning is. You will also learn the areas in which machine learning is applicable. In machine learning, training is very essential, as it is what helps the machine learning algorithms to learn and show an improvement next time from their experience. This book discusses the various machine learning algorithms. It also examines the perceptron, which is very essential in machine learning. This tries to operate in the same way that the human brain operates. Logistic regression is also explored in detail. You will also learn how to use Support Vector Machines (SVMs). Neural networks are becoming very key in machine learning nowadays. This book helps you understand how to employ the concept of neural networks in machine learning. You will also learn more about the backpropagation algorithm and how it helps the machine learning systems to learn and show an improvement based on experience. Python is a powerful programming language and good for implementation of a machine learning system. This book guides you on how to create a machine learning system in Python. This book further helps you learn how to use clustering in machine learning. The following topics are discussed in this book: - What is Machine Learning?- Machine Learning Algorithms- Perceptrons, Logistic Regression, and SVMs- Neural Networks for Machine Learning- Machine Learning in Python- Clusterin

This book guides you on how to use OpenCV 3 (Open Computer Vision) library. The library is compatible with C, C++, Java, and Python. This book helps you learn how to use the library with C++, Java, and Python. You are guided on how to read, write, and store images using the OpenCV library. The process of displaying images in a graphical user interface when using the OpenCV is discussed. With OpenCV, you can convert your images from one color code to another. This book helps you learn how to do the conversions. You are also shown how to use the OpenCV and the camera for face detection. There are a number of geometric transformations which can be done on images when using OpenCV. These are explored in this book, thus, you will know how to do them with various programming languages. You are also taught how to analyze videos with OpenCV. The following topics are discussed in this book: - What is OpenCV?- Storing Images- Reading Images- Writing Images- Using Graphical User Interface- Converting Images- OpenCV and the Camera- Geometric Transformations of Images- Video Analysi

This book is a guide for you on how to use Git and GitHub. The first part of the book is a guide for you to help you get started with Git and GitHub. This involves installing Git and creating a GitHub account. The basics that one should know in order to be able to excellently use Git and GitHub have been discussed. You are guided on how to create a new repository. You will also know how to create branches, pull requests, merge pull requests, delete files of a repository, cloning a repository, restoring the contents of a repository, deleting and restoring the entire repository etc. You are also guided on how to perform authentication using SSH (Secure Schell). You will know how to generate and use the keys necessary for SSH authentication. The process of hosting static websites on GitHub has been discussed. You will also know how to make your code citable. The process of managing collaborators or users working on a similar repository has been explored. The following topics have been discussed in this book: - Getting Started- GitHub Basics- Setting up SSH Authentication- Social Coding- Hosting Static Websites- Making Code Citable- Managing Repository Collaborators

This book is a guide on how to create using WordPress, which is a content management system (CMS). The author begins by helping you setup the environment ready for web development with WordPress. You are the guided on how to create the pages for your website. Themes are good for changing the look and feel of a website. The author guides you on how to install and activate themes in WordPress. Plugins and widgets helps developers get additional features when developing websites with WordPress. The author guides you on how to install and use them on WordPress. Categories help you group your posts into sections so that related posts can be in the same category. These have been discussed in the book; hence you will know how to create them. You will also know how to create tags which helps one find posts with ease. The following topics have been discussed in this book: - Getting Started with WordPress- Creating Pages- Installing WordPress Themes- Installing WordPress Plugins- Adding Widgets- WordPress Posts- Categories- Tags- Adding Media- Backing Up a WordPress Website- Spam Protection- Links- Transferring WordPres