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: Models and Algorithms for Unlabelled Data (MEAP)
: Vaibhav Verdhan
: Manning Publications
: 2021 V3
: PDF
: 147
: 10 Mb
: English

Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems.
Models and Algorithms for Unlabelled Data introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data.
Youll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. Youll learn the business use case for different models, and master best practices for structured, text, and image data. Each new algorithm is introduced with a case study for retail, aviation, banking, and moreand youll develop a Python solution to fix each of these real-world problems. At the end of each chapter, youll find quizzes, practice datasets, and links to research papers to help you lock in what youve learned and expand your knowledge.
: vitvikvas 19-10-2021, 09:23 | : 0 |
: Machine Learning Bookcamp: Build a portfolio of real-life projects
: Alexey Grigorev
: Manning Publications
: 2021
: True PDF
: 473
: 40 Mb
: English

Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.
The only way to learn is to practice! In Machine Learning Bookcamp, youll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what youve learned in previous chapters. Youll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
: vitvikvas 19-10-2021, 09:09 | : 0 |
: Microservices in .NET, 2nd Edition
: Christian Horsdal Gammelgaard
: Manning Publications
: 2021
: True PDF
: 330
: 17 Mb
: English

Microservices in .NET, Second Edition is a comprehensive guide to building microservice applications using the .NET stack. After a crystal-clear introduction to the microservices architectural style, it teaches you practical microservices development skills using ASP.NET. This second edition of the bestselling original has been revised with up-to-date tools for the .NET ecosystem, and more new coverage of scoping microservices and deploying to Kubernetes.
Microservice architectures connect independent components that must work together as a system. Integrating new technologies like Docker and Kubernetes with Microsofts familiar ASP.NET framework and Azure cloud platform enables .NET developers to create and manage microservices efficiently.
: vitvikvas 19-10-2021, 08:35 | : 0 |
: Continuous API Management: Making the Right Decisions in an Evolving Landscape, 2nd Edition
: Mehdi Medjaoui, Erik Wilde, Ronnie Mitra
: OReilly Media, Inc.
: 2022
: ePUB
: 300
: 10 Mb
: English

A lot of work is required to release an API, but the effort doesn't always pay off. Overplanning before an API matures is a wasted investment, while underplanning can lead to disaster. This practical guide provides maturity models for individual APIs and multi-API landscapes to help you invest the right human and company resources for the right maturity level at the right time. How do you balance the desire for agility and speed with the need for robust and scalable operations? Four experts from the API Academy show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous life cycle. Learn which API decisions you need to govern and how and where to do so Design, deploy, and manage APIs using an API-as-a-product (AaaP) approach Examine ten pillars that form the foundation of API product work Learn how the continuous improvement model governs changes throughout an API's lifetime Explore the five stages of a complete API product life cycle Delve into team roles needed to design, build, and maintain your APIs Learn how to manage your API landscape - the set of APIs published by your organization
: vitvikvas 18-10-2021, 21:40 | : 0 |
: Consul: Up and Running: Service Mesh for Any Runtime or Cloud (Early Release)
: Luke Kysow
: OReilly Media, Inc.
: 2021-10-18: Third Release
: ePUB
: 143
: 10 Mb
: English

With the advent of microservices, Kubernetes, public cloud, and hybrid computing, site reliability and DevOps engineers are facing more complexity than ever before. Service mesh is an exciting new technology that promises to help tackle this complexity. A service mesh provides you with a unified control plane to manage the networking among your applications running on these distinct platforms. This definitive guide shows you how to automate networking for simple and secure application delivery with Consul.
: vitvikvas 18-10-2021, 21:32 | : 0 |
Easy React Js for Beginner Developers, 2nd Edition: Easy React JS for Beginner Developers: A Step-by-Step Visual Guide to Learn React JS and Building Your own React Applications From Scratch, 2nd Edition
: Ibas Majid
: Ibaslogic
: 2020
: 257
:
: pdf, epub
: 10.15 MB

It is no doubt that React JS is one of the highly in-demand web skills at the moment. This makes it a necessity for you as a developer to add it on your resume if you are aiming to create modern real-world web applications. In this book, we have you covered. You will not only learn the React fundamentals, but you will also be able to create modern React applications and deploy them on the internet for free. This will also place you in a position to start working on a web application that is built on React. A very good example is the Gatsby site which is a static site generator and a platform most developers are now shifting to. Also, if you are the WordPress person, the block editor often called Gutenberg is built on React.


: Ingvar16 18-10-2021, 21:24 | : 0 |
Spatially Explicit Hyperparameter Optimization for Neural Networks: Spatially Explicit Hyperparameter Optimization for Neural Networks
: Minrui Zheng
: Springer
: 2021
: 120
:
: pdf (true), epub
: 36.4 MB

Neural networks as the commonly used Machine Learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Artificial neural networks (ANNs) are an inductive Machine Learning approach that resembles the brain functions of human beings or animals for problem-solving. ANNs are one of the powerful approaches in scientific and engineering applications when used to predict or recognize patterns. ANNs can learn from data to improve their performance and adapt themselves as more data are available.
: Ingvar16 18-10-2021, 19:59 | : 0 |
Platform Coring on Digital Software Platforms: Platform Coring on Digital Software Platforms
: Benedict Bender
: Springer Gabler
: 2021
: 262
:
: pdf (true), epub
: 10.1 MB

Digital software platforms such as iOS or Android evolve quickly. Through regular updates, their set of built-in (core) functionalities increases significantly. Innovation in terms of introducing new functionality allows developers to strengthen the platform amidst competition. However, it can hurt contributors in the platform ecosystem when introducing core features that are already provided by third-party developers, which is referred to as platform coring. Software platforms, as a specific type of innovation platforms, allow for the integration of external innovation capability within a uniform platform architecture. Following Tiwana a software platform is understood as extensible codebase of a software-based system that provides core functionality shared by the modules that interoperate with it and the interfaces through which they interoperate. Through the open paradigm of software platforms, third parties can contribute functionality in the form of capsuled modules.
: Ingvar16 18-10-2021, 18:56 | : 0 |
Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform: Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform
: Mohamed Labouardy
: Manning Publications
: 2021
: 528
:
: epub
: 51.6 MB

Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services.
: Ingvar16 18-10-2021, 17:06 | : 0 |
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: 2019
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: pdf (ocr)
: 13
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: rivasss 18-10-2021, 14:21 | : 0 |

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