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“ankur ankan”

Showing 1 - 12 of 12 results for “ankur ankan”
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  • Hands-On Markov Models with Python

    Implement probabilistic models for learning complex data sequences using the Python ecosystem

    by Ankur Ankan, Abinash Panda ...
    Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract valuable insightsUse natural language processing (NLP) techniques and 2D-HMM model for image segmentationBook DescriptionHidden Markov Model (HMM) is ... Read more

    $27.99 USD or Free with Kobo Plus

  • Mastering Probabilistic Graphical Models with Python

    Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

    by Ankur Ankan ...
    Key FeaturesBook DescriptionProbabilistic Graphical Models is a technique in machine learning that uses the concepts of graph theory to compactly represent and optimally predict values in our data problems. In real world problems, it's often difficult to select the appropriate graphical model as well as the appropriate inference algorithm, which can make a huge difference in computation time and ... Read more

    $37.99 USD or Free with Kobo Plus

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  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    by Sebastian Raschka ...
    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... Read more

    $37.99 USD or Free with Kobo Plus

  • Mathematica Cookbook

    Building Blocks for Science, Engineering, Finance, Music, and More

    by Sal Mangano ...
    Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music.Although ... Read more

    $37.99 USD

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    by Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Read more

    $36.99 USD

  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    by Giuseppe Bonaccorso ...
    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.99 USD or Free with Kobo Plus

  • Logic in Computer Science

    Modelling and Reasoning about Systems

    by Michael Huth, Mark Ryan ...
    Recent years have seen the development of powerful tools for verifying hardware and software systems, as companies worldwide realise the need for improved means of validating their products. There is increasing demand for training in basic methods in formal reasoning so that students can gain proficiency in logic-based verification methods. The second edition of this successful textbook addresses ... Read more

    $63.99 USD

  • How to Design Programs, second edition

    An Introduction to Programming and Computing

    by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi ...
    A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming.This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines ... Read more

    $41.99 USD

  • Python Machine Learning By Example

    The easiest way to get into machine learning

    by Yuxi (Hayden) Liu, Ivan Idris ...
    Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... Read more

    $41.99 USD or Free with Kobo Plus

  • Python: Advanced Guide to Artificial Intelligence

    Expert machine learning systems and intelligent agents using Python

    by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani ...
    Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementationBuild deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production ... Read more

    $35.99 USD or Free with Kobo Plus

  • Mastering Text Mining with R

    Extract and recognize your text data

    by KUMAR ASHISH ...
    Master text-taming techniques and build effective text-processing applications with RKey Features\[\*\] Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide\[\*\] Gain in-depth understanding of the text mining process with lucid implementation in the R language\[\*\] Example-rich guide that lets you gain high-quality information from text dataBook ... Read more

    $34.99 USD or Free with Kobo Plus

  • A First Course in Statistical Programming with R

    by W. John Braun, Duncan J. Murdoch ...
    This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, ... Read more

    $37.99 USD