Название: Learning Using Python: How to Build Applied Machine Learning Solutions
Автор: Reed Cartwright
Издательство: Independently published
Год: 2022
Страниц: 457
Язык: английский
Формат: pdf
Размер: 43.6 MB

Many market professionals consider unsupervised learning the following frontier in Artificial Intelligence, one that might hold the secret to the holy grail in AI study, the so called general expert system. Considering that the majority of the world's data is unlabeled, traditional supervised knowing can not be applied; this is where without supervision knowing can be found in. Without supervision understanding can be related to unlabeled datasets to find significant patterns hidden deep in the data, patterns that may be near difficult for humans to uncover. Author gives sensible understanding on exactly how to use not being watched understanding making use of two basic, production prepared Python structures scikit learn and also TensorFlow utilizing Keras.

Название: Robot Operating System (ROS) for Absolute Beginners, 2nd Edition
Автор: Lentin Joseph, Aleena Johny
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 294
Размер: 11,6 Mb
Язык: English

You'll learn the basic foundation of Ubuntu Linux. Begin with the fundamentals. Installation and useful commands will give you the basic tools you need while programming a robot. Then add useful software applications that can be used while making robots. Programming robots can be done using any of the programming languages. Most popular programming languages are Python and C++. You will incorporate the fundamentals of C++ by learning object oriented programing concepts from example and building C++ projects.

Название: Pandas Workout (MEAP)
Автор: Reuven M. Lerner
Издательство: Manning Publications
Год: 2022 V11
Формат: True PDF
Страниц: 314
Размер: 10 Mb
Язык: English

Practice makes perfect pandas. Work out your pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential pandas tasks.

Название: Geometry for Programmers (MEAP)
Автор: Oleksandr Kaleniuk
Издательство: Manning Publications
Год: 2022 V8
Формат: True PDF
Страниц: 365
Размер: 11,6 Mb
Язык: English

Master the geometry behind CAD, game engines, GIS, and more! This hands-on book teaches you the math behind the tools and libraries you use to create simulations, 3D prints, and other models of the physical world.

Название: MATLAB Medical Imaging Toolbox User's Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2022
Страниц: 144
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Medical Imaging Toolbox provides apps, functions, and workflows for designing and testing diagnostic imaging applications. You can perform 3D rendering and visualization, multimodal registration, and segmentation and labeling of radiology images. The toolbox also lets you train predefined Deep Learning networks (with Deep Learning Toolbox).

Название: React Quickly, 2nd Edition
Автор: Morten Barklund and Azat Mardan
Издательство: Manning Publications
Год: 2022 MEAP V8
Формат: True PDF
Страниц: 474
Размер: 14,2 Mb
Язык: English

Learn the skills you need to build React applications quickly! This fully revised second edition introduces functional components, React hooks, static site generators, and more. Build your skills with React and its ecosystem fast. There’s no slow theory and tedious history. You’ll dive into React code right from the very first chapter. The book teaches you how React thinks, introducing ways of structuring your architecture that even work with large teams.
React Quickly, Second Edition is a practical guide to React for busy web developers. Following over 100 carefully chosen and clearly explained examples, you'll learn React development using your existing jаvascript and web development skills. This totally rewritten second edition is full of brand new topics, including chapters on functional components, static site generations, and CSS in JS.

Название: Kafka Streams in Action, Second Edition
Автор: Bill Bejeck
Издательство: Manning Publications
Год: 2022 MEAP V8
Формат: True PDF
Страниц: 324
Размер: 27,6 Mb
Язык: English

Everything you need to implement stream processing on Apache KafkaⓇ using Kafka Streams and the kqsIDB event streaming database. This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database purpose-built for stream processing applications.

Название: Privacy-Preserving Machine Learning
Автор:
Издательство:
Год: 2022 MEAP V8
Формат: True PDF
Страниц: 323
Размер: 13,2 Mb
Язык: English

Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You’ll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning.

Название: Python 3: The Comprehensive Guide to Hands-On Python Programming
Автор: Johannes Ernesti, Peter Kaiser
Издательство: Rheinwerk Publishing
Год: 2022
Формат: PDF
Страниц: 1690
Размер: 17,1 Mb
Язык: English

Ready to master Python? Learn to write effective code, whether you’re a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation and walk through the available data types. Then dive into more advanced topics, such as using Django and working with GUIs. With plenty of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python!

Название: Deep Learning for Healthcare Decision Making
Автор: Vishal Jain, Jyotir Moy Chatterjee
Издательство: River Publishers
Год: 2022
Страниц: 312
Язык: английский
Формат: pdf (true)
Размер: 30.2 MB

Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of Deep Learning (DL) frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable Artificial Intelligence (AI), Deep Learning frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients’ lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective Deep Learning algorithms.