Nejnižší cena za posledních 60 dní: 890 Kč
Ceny a dostupnost se mohou měnit i několikrát za den. Zkontrolujte si aktuální údaje přímo v e-shopech. Všechny dostupné barvy a velikosti naleznete přímo v e-shopech.
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse
Get up and running with machine learning life cycle management and implement MLOps in your organizationKey Features: Become well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about
The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can
The Era of Artificial Intelligence and Machine Learning in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and
The mooring system is a vital component of various floating facilities in the oil, gas, and renewables industries. However, there is a lack of comprehensive technical books dedicated to the subject. Mooring System Engineering for Offshore Structures is the first book delivering in-depth knowledge
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies
In recent years, a great deal has changed in the oil and gas industry, from legal and regulatory change to falling oil prices. This updated third edition of UK Oil and Gas Law has been published in two volumes: this volume focuses on commercial and contract law
One of the most important elements of today's decision-making world, in both the public and the private sectors, is the forecasting of macroeconomic and financial variables. This applies to many industries including finance, education, and health care to name just a few. However, not many business
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best 'swiss army knife' we have for answering these kinds
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze
David Gibson uses 3D visual representations of sounds in a mix as a tool to explain the dynamics that can be created in a mix. This book provides an in-depth exploration into the aesthetics of what makes a great mix. Gibson's unique approach explains how to map sounds to visuals in order to create
Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning--a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit
The cut flower and foliage industry is a global business with major production locations in North America, South America, Central America, East Africa, Europe, the Middle East, Asia, Australia and New Zealand. Few other horticulture crops are as ubiquitous, yet the production techniques and
In Math for Programmers you'll explore important mathematical concepts through hands-on coding. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll
One of Financial Times' Books of the Year, 2015 The trade in oil, gas, gems, metals and rare earth minerals wreaks havoc in Africa. During the years when Brazil, India, China and the other emerging markets have transformed their economies, Africa's resource states remained tethered to the bottom
At its launch in 1948 the Morris Minor was an exciting and fresh concept, with radical engineering and daring 'American' styling.Morris Motors had given a young engineer named Alec Issigonis his first chance to head up a design team and, though he would become most famous for the Mini ten years
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data
Machine learning and automation are disrupting every industry-Advertising is no exception. The modern digital advertising landscape is dominated by the likes of Facebook and Google Ads, and the traditional optimization levers that PPC managers grew accustomed to are being stripped away and replaced
This book presents what the training within industry (TWI) program is and how its presence affects the understanding of work standardization, focusing on the practical aspects of the implementation of work standardization in the elimination of human errors in manufacturing and service
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis
Rockefeller was the quintessential industrialist. He created an industry out of nascent oil and gas start-ups during a time when none existed. His strategies and tactics may not have been approved by all, but he was certain he was doing God's work.We live in a world today that is based on the
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learning and the