Lutowanie od podstaw. Wydanie II

Witold Wrotek

Lutowanie - prosto, praktycznie, profesjonalnie! Opanuj podstawy techniki lutowania Poznaj przydatne narzędzia pracy Naucz się lutowania w praktyce Lutowanie to najtańsza, najpopularniejsza i najskuteczniejsza metoda łączenia elementów obwodów elektrycznych i elektronicznych. Nawet najbardziej zaawansowane układy nie mogłyby działać bez zastosowania tej techniki, która zapewnia nie tylko właściwe połączenie elektryczne, lecz również odpowiednio wytrzymałe spojenie mechaniczne, umożliwiając tym samym stabilne mocowanie elementów na płytce drukowanej. Do łączenia metalowych części lutowania używano już w starożytności, jednak prawdziwy rozkwit tej metody nastąpił wraz z gwałtownym rozwojem elektroniki. Sięgnij po odpowiednie źródło wiedzy, jeśli chcesz poznać technikę lutowania i nauczyć się prawidłowo stosować ją w praktyce! Drugie wydanie książki Lutowanie od podstaw wprowadzi Cię w tajniki sztuki łączenia elementów, przedstawi niezbędne narzędzia i dobre praktyki, nauczy unikać typowych błędów popełnianych przez początkujących, a także pokaże najlepsze sposoby lutowania różnych elementów elektrycznych i elektronicznych. Dzięki lekturze dowiesz się też, jak wykonać proste prace elektryczne w swoim domu, a nawet jak naprawić typowe usterki urządzeń AGD. Przygotowanie do lutowania Niezbędne narzędzia i materiały Dobre praktyki i najczęstsze błędy Praktyczne porady dotyczące lutowania Typowe prace i naprawy elektryczne Ćwiczenia poprawiające umiejętności Lutowanie elementów elektronicznych Usuwanie usterek elektronicznych Lutuj jak prawdziwy zawodowiec!

Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition

Andrew P. McMahon, Adi Polak

The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems. It will provide you with the skills you need to stay ahead in this rapidly evolving field.The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need. You'll explore the key steps of the ML development lifecycle and create your own standardized model factory for training and retraining of models. You'll learn to employ concepts like CI/CD and how to detect different types of drift.Get hands-on with the latest in deployment architectures and discover methods for scaling up your solutions. This edition goes deeper in all aspects of ML engineering and MLOps, with emphasis on the latest open-source and cloud-based technologies. This includes a completely revamped approach to advanced pipelining and orchestration techniques.With a new chapter on deep learning, generative AI, and LLMOps, you will learn to use tools like LangChain, PyTorch, and Hugging Face to leverage LLMs for supercharged analysis. You will explore AI assistants like GitHub Copilot to become more productive, then dive deep into the engineering considerations of working with deep learning.

Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market

Eduonix Learning Solutions

Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks.By the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain.

Make: Drony dla początkujących. Konstrukcja i dostosowanie własnego quadcoptera

Kilby Terry, Kilby Belinda

Drony dla początkujących Konstrukcja i dostosowanie własnego quadcoptera Terry Kilby, Belinda Kilby Chciałbyś zbudować coś, co potrafi latać? Co sądzisz o latającym robocie? Z tej książki dowiesz się, jak działają drony, jak rozwiązać niektóre inżynierskie wyzwania związane z ich konstruowaniem i jak zbudować swój własny czterowirnikowy śmigłowiec, którego można modyfikować, dostosowywać i oczywiście latać nim. Twój dron stanie się twoimi oczami na niebie i w miejscach, do których człowiek nigdy nie zdoła zajrzeć mniejszy może więcej!

Managing Mission - Critical Domains and DNS. Demystifying nameservers, DNS, and domain names

Mark E.Jeftovic

Managing your organization's naming architecture and mitigating risks within complex naming environments is very important. This book will go beyond looking at “how to run a name server” or “how to DNSSEC sign a domain”, Managing Mission Critical Domains & DNS looks across the entire spectrum of naming; from external factors that exert influence on your domains to all the internal factors to consider when operating your DNS. The readers are taken on a comprehensive guided tour through the world of naming: from understanding the role of registrars and how they interact with registries, to what exactly is it that ICANN does anyway? Once the prerequisite knowledge of the domain name ecosystem is acquired, the readers are taken through all aspects of DNS operations. Whether your organization operates its own nameservers or utilizes an outsourced vendor, or both, we examine the complex web of interlocking factors that must be taken into account but are too frequently overlooked. By the end of this book, our readers will have an end to end to understanding of all the aspects covered in DNS name servers.

Mastering BeagleBone Robotics. Master the power of the BeagleBone Black to maximize your robot-building skills and create awesome projects

Richard Grimmett

Mastering Internet of Things. Design and create your own IoT applications using Raspberry Pi 3

Peter Waher

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. Mastering Internet of Things starts by presenting IoT fundamentals and the smart city. You will learn the important technologies and protocols that are used for the Internet of Things, their features, corresponding security implications, and practical examples on how to use them. This book focuses on creating applications and services for the Internet of Things. Further, you will learn to create applications and services for the Internet of Things. You will be discover various interesting projects and understand how to publish sensor data, control devices, and react to asynchronous events using the XMPP protocol. The book also introduces chat, to interact with your devices. You will learn how to automate your tasks by using Internet of Things Service Platforms as the base for an application. You will understand the subject of privacy, requirements they should be familiar with, and how to avoid violating any of the important new regulations being introduced.At the end of the book, you will have mastered creating open, interoperable and secure networks of things, protecting the privacy and integrity of your users and their information.

Mastering Julia. Enhance your analytical and programming skills for data modeling and processing with Julia - Second Edition

Malcolm Sherrington

Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you’ll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs).As you progress, you’ll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You’ll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia.By the end of this book, you’ll be confident in using Julia as part of your existing skill set.