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Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
This volume presents papers from the Ninth International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010) which took place in Riga, Latvia, in July 2010. Since this successful biennial series began in 1994, the Baltic DB&IS conferences have become an international forum of high scientific criteria for...
Domain Driven Data Mining
Domain Driven Data Mining

In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and...

Data Mining: Concepts, Models and Techniques (Intelligent Systems Reference Library)
Data Mining: Concepts, Models and Techniques (Intelligent Systems Reference Library)

Data Mining represents a complex of technologies that are rooted in many disciplines: mathematics, statistics, computer science, physics, engineering, biology, etc., and with diverse applications in a large variety of different domains: business, health care, science and engineering, etc. Basically, data mining can be seen as the science of...

Computer Science: Notable Research and Discoveries (Frontiers of Science)
Computer Science: Notable Research and Discoveries (Frontiers of Science)
No one is certain how much more powerful and possibly intelligent computers will become in the 21st century. Exploring six prominent topics in computer science research, this title describes how computer scientists conduct research and attempt to formulate answers to important questions. Research published in journals, presented at conferences,...
Computational Intelligence: Methods and Techniques
Computational Intelligence: Methods and Techniques
This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge...
The AI Business: The Commercial Uses of Artificial Intelligence
The AI Business: The Commercial Uses of Artificial Intelligence

What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best - financiers, researchers, and users - analyze current...

Artificial Intelligence: First CCF International Conference, ICAI 2018, Jinan, China, August 9-10, 2018, Proceedings (Communications in Computer and Information Science)
Artificial Intelligence: First CCF International Conference, ICAI 2018, Jinan, China, August 9-10, 2018, Proceedings (Communications in Computer and Information Science)
This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018.  The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised...
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming...
Game Development Patterns and Best Practices: Better games, less hassle
Game Development Patterns and Best Practices: Better games, less hassle

Utilize proven solutions to solve common problems in game development

About This Book

  • Untangle your game development workflow, make cleaner code, and create structurally solid games
  • Implement key programming patterns that will enable you to make efficient AI and remove duplication
  • ...
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