Название: Building Machine Learning Pipelines (Early Release) Автор: Hannes Hapke and Catherine Nelson Издательство: O'Reilly Media Год: 2020 Формат: epub/mobi/pdf(conv.) Размер: 11.3 Mb Язык: English
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems.
Автор: Страуструп Б. Название: Дизайн и эволюция C++ Издательство: М.: ДМК Пресс; Спб.: Питер Год: 2006 ISBN: 5-469-01217-4 Язык: Русский Формат: pdf Размер: 13,4 mb Страниц: 448 с.: ил.
В книге, написанной создателем языка C++ Бьерном Страуструпом, представлено описание процесса проектирования и разработки языка программирования C++.
The R package Lavaan is developed to provide users, researchers and teachers a free open-source, but commercial-quality package for latent variable modeling. You can use Lavaan to estimate a large variety of multivariate statistical models, including path analysis, confirmatory factor analysis, structural equation modeling and growth curve models.
Название: Time Series with Python: A Beginner’s Guide. 2019 Edition Автор: Jim Smith Издательство: Jim Smith Publishing Год: 2019 Страниц: 55 Язык: английский Формат: epub, azw3, rtf, pdf (conv) Размер: 10.08 MB
A time series is a sequence of observations over a certain period. The simplest example of a time series that all of us come across on a day to day basis is the change in temperature throughout the day or week or month or year. The analysis of temporal data is capable of giving us useful insights on how a variable changes over time.
Название: Introduction to Time Series Forecasting With Python: How to Prepare Data and Develop Models to Predict the Future Автор: Jason Brownlee Издательство: Machine Learning Mastery Pty. Ltd. Год: 2018 Страниц: 366 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Welcome to the Introduction to Time Series Forecasting with Python. You are one of those rare people that have decided to invest in your education and in your future and I am honored that I can help. This book will show you how to make predictions on univariate time series problems using the standard tools in the Python ecosystem. Time series is an important and under served topic in applied Machine Learning (ML), Python is the growing platform for Machine Learning and predictive modeling, and this book unlocks time series for Python.
Название: Raspberry Pi 4 for Kids: A Parent's Guide to Raspberry Pi 4 to help Kids Make, and Build the Best Raspberry Pi Projects for Kids Автор: Sam O. Collins Издательство: Amazon Digital Services LLC Год: 2019 Формат: PDF Страниц: 253 Размер: 10 Mb Язык: English
If you are new to Raspberry pi 4, we have outlined an easy to understand guide for kids that will help you learn all that you need to know the raspberry pi 4. You are also going to learn the basics and useful tips about Scratch and Python, especially if you’re a newbie.
Название: Python Programming for Beginners: The ultimate crash course in Python programming. A comprehensive guide to mastering the powerful programming language and learn machine learning Автор: Leonard Base Издательство: Amazon Digital Services LLC Год: 2019 Формат: epub/azw3/pdf(conv.) Размер: 10 Mb Язык: English
Python programming has become one of the most common programming languages people use. Everything that it does for the coding world is bringing a live language that can be used in software. It has become the common programs used in websites and other digitalized materials that exist. It helps one to get through machines and any coded messages in any software that is already there. There are many more programs but this has been circled for this book. For a better understanding of how software programs actually work and how you can start learning slowly by slowly with no hurry.
Название: Easy Learning Data Structures & Algorithms C++: Graphic Data Structures & Algorithms Автор: Yang Hu Издательство: Amazon Digital Services LLC Год: 2019 Формат: epub Страниц: 268 Размер: 31.2 Mb Язык: English
This book Made Easy to learn Data Structures and Algorithms. There are multiple solutions for each problem and the book is coded in C++, it comes handy as an interview and exam guide for computer scientists. All data structures are illustrated with simple examples and diagrams. Every important feature of the language is illustrated in depth by a complete programming example. Wherever necessary, picture descriptions of concepts are included to facilitate better understanding.
Название: Machine Learning For Beginners: Step-by-Step Guide to Machine Learning, a Beginners Approach to Artificial Intelligence, Big Data, Basic Python Algorithms, and Techniques for Business (Practical Examples) Автор: Oscar Scratch Издательство: Amazon Digital Services LLC Год: 2019 Формат: epub/pdf(conv.) Размер: 10 Mb Язык: English
MACHINE LEARNING FOR BEGINNERS is the ultimate guide to knowing about how the progress works in our world. It is simplifying the way we live, work, travel and communicate. Now artificial intelligence is not simple imagination, but it’s reality. In this guide for beginners you will understand how Machine Learning, Artificial Intelligence and Big Data works in our lives and how we are in contact every day with it.
Название: Python for civil and structural engineers Автор: Vittorio Lora Издательство: Amazon Digital Services LLC Год: 2019 Формат: epub/azw3/pdf(conv.) Размер: 3.8 Mb Язык: English
Python for civil and structural engineers Are you interested in python and its applications in structural engineering? Are you a professional or a student looking for a way to speed up your work? Then this book was written exactly for you. No prior knowledge of the language is required: the book goes from basic programming concepts to writing useful real-world applications.
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