Название: Applying Predictive Analytics: Finding Value in Data
Автор: Richard V. McCarthy, Mary M. McCarthy
Издательство: Springer
Год: 2019
Страниц: 209
Язык: английский
Формат: pdf (true), epub
Размер: 14.3 MB

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. Machine learning, a branch of artificial intelligence, uses computation algorithms to automatically learn insights from the data and make better decisions in the future with minimal intervention. Regression techniques may also be in machine learning techniques, e.g., neural networks.

Название: Applied Artificial Intelligence: An Engineering Approach
Автор: Bernhard Humm
Издательство: Leanpub
Год: 2016
Страниц: 111
Язык: английский
Формат: pdf (true)
Размер: 19.5 MB

Modern AI applications are not built from scratch but, instead, by integrating off-the-shelf components: libraries, frameworks, and services. "AppliedArtificial Intelligence - An Engingeering Approach" focuses on engineering user friendly, high-performance, and maintainable AI applications. Why yet another book on Artificial Intelligence? It is true that hundreds of publications on Artificial Intelligence (AI) have been published within the last decades - scientific papers and text books. Most of them focus on the theory behind AI solutions: logic, reasoning, statistical foundations, etc. However, little can be found on engineering AI applications.

Название: Office 365 All-in-One For Dummies
Автор: Peter Weverka
Издательство: For Dummies
Год: 2019
Формат: True PDF
Страниц: 850
Размер: 52.3 Mb
Язык: English

The deepest reference on Microsoft’s productivity service
Office 365 offers the same productivity power as past versions of Microsoft Office along with tools designed to boost collaboration in the workplace and instant access to the latest Office updates without buying a whole new software package. It’s an ideal solution for both the office and home use.

Название: R3 Corda for Architects and Developers: With Case Studies in Finance, Insurance, Healthcare, Travel, Telecom, and Agriculture
Автор: Debajani Mohanty
Издательство: Apress
Год: 2019
Формат: pdf/epub/mobi
Страниц: 224
Размер: 12.5 Mb
Язык: English

Explore the entire R3 Corda ecosystem using theory, labs, and use cases. This book introduces distributed ledger technology, Corda architecture, and smart contract programming in Java, guiding you through testing and deployment. Further, you will explore various business problems in finance, insurance, healthcare, travel, and agriculture and discover how Corda can solve these issues through its unique and efficient distributed ledger technology. These business scenarios come with flowcharts, diagrams, and sample code that stakeholders can refer to and further enhance during live projects.

Название: Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers
Автор: Tammy Noergaard
Издательство: Elsevier
Год: 2005
Формат: PDF
Страниц: 657
Размер: 10,32 МБ
Язык: English

This comprehensive textbook provides a broad and in-depth overview of embedded systems architecture for engineering students and embedded systems professionals. The book is well suited for undergraduate embedded systems courses in electronics/electrical engineering and engineering technology (EET) departments in universities and colleges, as well as for corporate training of employees.

Название: Fundamentals of Python: From First Programs Through Data Structures
Автор: Kenneth A. Lambert
Издательство: Course Technology, Cengage Learning
Год: 2010
Формат: PDF
Страниц: 945
Размер: МБ
Язык: English

In FUNDAMENTALS OF PYTHON: FROM FIRST PROGRAMS THROUGH DATA STRUCTURES, Washington and Lee University professor Kenneth A. Lambert presents all of the important topics in CS1 and CS2 in one volume. This economical format provides instructors with a consistent approach to teaching introductory programming and data structures over a standard two-term course sequence. The book uses the Python programming language, which is both easy to learn for beginners and scales well to advanced applications.

Название: Neural Network Modeling and Identification of Dynamical Systems
Автор: Tiumentsev Y., Egorchev M.
Издательство: Academic Press
Год: 2019
Страниц: 324
Язык: английский
Формат: True PDF
Размер: 18.1 MB

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft.

Название: Probability, Decisions and Games: A Gentle Introduction using R
Автор: Abel Rodriguez, Bruno Mendes
Издательство: Wiley
ISBN: 1119302609
Год: 2018
Страниц: 240
Язык: английский
Формат: pdf, djvu
Размер: 10.03 MB

Introduces the fundamentals of probability, statistics, decision theory, and game theory, and features interesting examples of games of chance and strategy to motivate and illustrate abstract mathematical concepts. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling examples to build a better understanding of basic concepts of probability, statistics, decision theory, and game theory. The authors present fundamental concepts such as random variables, rational choice theory, mathematical expectation and variance, fair games, combinatorial calculus, conditional probability, Bayes Theorem, Bernoulli trials, zero–sum games and Nash equilibria, as well as their application in games such as Roulette, Craps, Lotto, Blackjack, Poker, Rock–Paper–Scissors, the Game of Chicken and Tic–Tac–Toe. Computer simulations, implemented using the popular R computing environment, are used to provide intuition on key concepts and verify complex calculations.

Название: Designing Agentive Technology: AI That Works for People
Автор: Christopher Noessel
Издательство: Rosenfeld Media
ISBN: 1933820632
Год: 2017
Страниц: 240
Язык: английский
Формат: True ePUB
Размер: 21.6 MB

Agentive Technology - the next stage of Artificial Intelligence (AI).
This concept invented by Chris Noessel is so interesting. It talks about the next state of Artificial Intelligence, one in which we go from using tools to simply managing them.
Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology's massive potential.

Название: Sentiment Analysis and Knowledge Discovery in Contemporary Business
Автор: Dharmendra Singh Rajput, Ramjeevan Singh Thakur, S. Muzamil Basha
Издательство: IGI Global
ISBN: 1522549994
Год: 2019
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB

In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. In this age, the advancements in the arena of Machine learning are huge. Machine Learning has become one emerging field of computer science. As a part of many different algorithms that can learn form and make decisions on data are developed. Different algorithm works well in different situation. There are different machine learning application have been developed such as algorithms to filter e-mails, fraud detection, voice recognition, and weather prediction etc. There are different types of machine learning algorithms present in computer science: Linear Regression, Linear Discriminant Analysis, Support Vector Machine, Naive Bayes classifier, Neural Networks, & Decision trees.