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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • Use Anaconda to find solutions for clustering, classification, and linear regression
  • Analyze your data efficiently with the most powerful data...
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Spoken Language Processing
Spoken Language Processing

Speech processing addresses various scientific and technological areas. It includes speech analysis and variable rate coding, in order to store or transmit speech. It also covers speech synthesis, especially from text, speech recognition, including speaker and language identification, and spoken language understanding.

This book...

Prediction of Protein Structures, Functions, and Interactions
Prediction of Protein Structures, Functions, and Interactions

The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization.

Prediction of Protein Structures, Functions and Interactions presents...

An Introduction to 3D Computer Vision Techniques and Algorithms
An Introduction to 3D Computer Vision Techniques and Algorithms

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is...

Modelling Distributed Systems (Texts in Theoretical Computer Science. An EATCS Series)
Modelling Distributed Systems (Texts in Theoretical Computer Science. An EATCS Series)
A distributed system is driven by separate components that are executed in parallel, and protocols for such systems form a major aspect of system design in todays world of wireless and mobile networking. Process algebras are languages for the description of elementary parallel systems and are used to study the behavioural properties of distributed...
Visual Perception and Robotic Manipulation: 3D Object Recognition, Tracking and Hand-Eye Coordination
Visual Perception and Robotic Manipulation: 3D Object Recognition, Tracking and Hand-Eye Coordination
As autonomous robots expand into the service domain, new solutions to the challenge of operating in domestic environments must be developed. Widespread adoption of service robots demands high robustness to environmental change and operational wear, and minimal reliance on application specific knowledge. As such, rich sensing modalities such as...
Computational Finance Using C and C# (Quantitative Finance)
Computational Finance Using C and C# (Quantitative Finance)
In Computational Finance Using C and C# George Levy raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firms internal software and code requirements. Levy also provides derivatives pricing information for:
...
Embedded and Real Time System Development: A Software Engineering Perspective: Concepts, Methods and Principles (Studies in Computational Intelligence)
Embedded and Real Time System Development: A Software Engineering Perspective: Concepts, Methods and Principles (Studies in Computational Intelligence)

Nowadays embedded and real-time systems contain complex software. The complexity of embedded systems is increasing, and the amount and variety of software in the embedded products are growing. This creates a big challenge for embedded and real-time software development processes and there is a need to develop separate metrics and...

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods
This book discusses large margin and kernel methods for speech and speaker recognition

Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents...

Bioinformatics Technologies
Bioinformatics Technologies
Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information....
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