Learn IT - Books tags genetic

Books tags: genetic

Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Packt Publishing, 2018

Bring a new degree of interconnectivity to your world by building your own intelligent robots

Key Features

Leverage fundamentals of AI and robotics

Work through use cases to implement various machine learning algorithms

Explore Natural Language Processing...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Packt Publishing, 2018

Build next-generation artificial intelligence systems with Java

Key Features

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using...

Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Packt Publishing, 2018

Build, train, and deploy intelligent applications using Java libraries

Key Features

Leverage the power of Java libraries to build smart applications

Build and train deep learning models for implementing artificial intelligence

Learn various algorithms to...

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Packt Publishing, 2018

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

Explore deep reinforcement learning (RL), from the first principles to the latest algorithms

Evaluate high-profile RL methods, including value...

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications

CRC Press, 1998

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

CRC Press, 2010

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

$Genetics For Dummies (Math & Science)$

Genetics For Dummies (Math & Science)

For Dummies, 2005

Reveals the connections between genetics and specific diseases

Understand the science and the ethics behind genetics

Want to know more about genetics? This non-intimidating guide gets you up to speed on all the fundamentals. From dominant and recessive inherited traits to the DNA double-helix, you get clear explanations in...

The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)

MIT Press, 1992

Approaches to building machines that can learn from experience abound - from connectionist learning algorithms and genetic algorithms to statistical mechanics and a learning system based on Piaget's theories of early childhood development. This monograph describes results derived from the mathematically oriented framework of computational...

Pharmacogenetics of Psychotropic Drugs

Cambridge University Press, 2002

This book provides a conceptual framework for understanding and studying the pharmacogenetics of psychotropic drugs, reviews advances in the field, and describes the findings that have already emerged. Coverage extends to antipsychotics, antidepressants and mood stabilizing, cognitive-enhancing and anxiolytic drugs. The volume also examines...

Evolvable Hardware (Genetic and Evolutionary Computation)

Springer, 2006

Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The emergence of this field has been profoundly influenced by the progress in reconfigurable hardware and evolutionary computation. Traditional hardware can be...

Success in Evolutionary Computation (Studies in Computational Intelligence)

Springer, 2008

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large...

Sequence Data Mining (Advances in Database Systems)

Springer, 2010

Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...

Result Page: 35 34 33 32 31 30 29 28 27 26