Information architecture

Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique power of quantum computers, which promise dramatic advantages in processing speed over currently available computer systems.

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization.

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook DescriptionWith the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems.

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasetsKey FeaturesMaster each concept through practical exercises and activitiesDiscover various statistical techniques to analyze your dataImplement everything you've learned on a real-world case study to uncover valuable insightsBook DescriptionEvery day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace.

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn librariesKey FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook DescriptionFeature engineering is invaluable for developing and enriching your machine learning models.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and librariesKey FeaturesLearn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasksUnderstand and develop model-free and model-based algorithms for building self-learning agentsWork with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution strategiesBook DescriptionReinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements.

Build attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures in cloud environmentsExplore recipes to design various data visualizations from simple bar charts to advanced 3D plotsBook DescriptionMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends.

Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media.

Re-Inventing the Book: Challenges from the Past for the Publishing Industry chronicles the significant changes that have taken place in the publishing industry in the past few decades and how they have altered the publishing value chain and the structure of the industry itself.

The Vector-Valued Maximin

Differential Equations with Applications to Mathematical Physics

Analysis and Control of Nonlinear Infinite Dimensional Systems

Scientific Computing with Automatic Result Verification

Stability and Time-Optimal Control of Hereditary Systems

Differential Equations and Mathematical Physics: Proceedings of the International Conference held at the University of Alabama at Birmingham, March 15-21, 1990

Nonlinear Equations in the Applied Sciences

Decentralized Control of Complex Systems

Overall, our object has been to provide an applications-oriented text that is reasonably self-contained.

Constructible Sets with Applications

Constructive Order Types

The Collected Papers of Gerhard Gentzen

Intuitionistic Logic Model Theory and Forcing

SET THEORY

Logic, Methodology and Philosophy of Science III

The Problem of Inductive Logic

Contributions to Mathematical Logic

Problems in the Philosophy of Science

Elements of Mathematical Logic

Problems in the Philosophy of Mathematics

Sets, Models and Recursion Theory

A Deductive Theory of Space and Time

Aspects of Inductive Logic

Studies in Logic and the Foundations of Mathematics

Formal Systems and Recursive Functions

The Foundations of Intuitionistic Mathematics

Introduction to the Theory of Finite Automata

A Transfinite Type Theory with Type Variables

Languages with Expressions of Infinite Length

Computer Programming and Formal Systems

The book consists of a selection of the forms of the axiom of choice which appeared in the literature together with additional forms which were obtained in the process of writing the book.

Provability, Computability and Reflection

Provability, Computability and Reflection

Provability, Computability and Reflection

Provability, Computability and Reflection

Provability, Computability and Reflection

Lincos

Provability, Computability and Reflection

Computer Programming and Formal Systems

Provability, Computability and Reflection