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Showing 1 - 12 of 12 results for “lex comber”
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  • Geographical Data Science and Spatial Data Analysis

    An Introduction in R

    by Lex Comber, Chris Brunsdon ...
    Series series Spatial Analytics and GIS
    We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, ... Read more

    $100.99 CAD

  • An Introduction to R for Spatial Analysis and Mapping

    by Chris Brunsdon, Lex Comber ...
    Series series Spatial Analytics and GIS
    The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data.Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing ... Read more

    $149.99 CAD

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    by Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    $77.99 CAD

  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    by Andreas C. Müller, Sarah Guido ...
    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Read more

    $54.99 CAD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    by Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

    $77.99 CAD

  • Learning OpenCV

    Computer Vision with the OpenCV Library

    by Gary Bradski, Adrian Kaehler ...
    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Read more

    $35.99 CAD

  • Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

    by Robert Knell ...
    R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and ... Read more

    $8.36 CAD

  • Generative AI with Python and TensorFlow 2

    Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

    by Joseph Babcock, Raghav Bali ...
    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Read more

    $55.99 CAD 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

    $45.99 CAD or Free with Kobo Plus

  • The Book of R

    A First Course in Programming and Statistics

    by Tilman M. Davies ...
    The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple ... Read more

    $51.99 CAD

  • Statistics for Machine Learning

    Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

    by Pratap Dangeti ...
    Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... Read more

    $47.99 CAD 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

    $47.99 CAD