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“marco smolla”

Showing 1 - 12 of 12 results for “marco smolla”
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  • Individual-Based Models of Cultural Evolution

    A Step-by-Step Guide Using R

    by Alberto Acerbi, Alex Mesoudi, Marco Smolla ...
    Individual-Based Models of Cultural Evolution shows readers how to create individual-based models of cultural evolution using the programming language R. The field of cultural evolution has emerged in the last few decades as a thriving, interdisciplinary effort to understand cultural change and cultural diversity within an evolutionary framework and using evolutionary tools, concepts, and methods ... Read more

    $73.99 USD

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  • Deep Learning

    A Visual Approach

    by Andrew Glassner ...
    A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors ... Read more

    $59.99 USD

  • Machine Learning For Absolute Beginners A Step by Step guide Algorithms For Supervised and Unsupervised Learning With Real World Applications

    by Raymond Kazuya ...
    Machines can LEARN ?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead?Its a worthwhile read ... Read more

    $2.99 USD or Free with Kobo Plus

  • Deep Learning Illustrated

    A Visual, Interactive Guide to Artificial Intelligence

    by Jon Krohn, Grant Beyleveld, Aglaé Bassens ...
    Series series Addison-Wesley Data & Analytics Series
    "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come."– Tim Urban, author of Wait But WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented ... Read more

    $43.19 USD

  • Python Deep Learning

    Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

    by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca ...
    Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook ... Read more

    $44.99 USD or Free with Kobo Plus

  • Self-Adaptive Systems for Machine Intelligence

    by Haibo He ...
    This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and ... Read more

    $90.00 USD

  • Neural Network Methods in Natural Language Processing

    by Yoav Goldberg, Graeme Hirst ...
    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Read more

    $53.99 USD

  • An Introduction to Machine Learning

    by Miroslav Kubat ...
    Series series Computer Science (R0)
    This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later ... Read more

    $49.49 USD

  • A Practical Approach for Machine Learning and Deep Learning Algorithms

    Tools and Techniques Using MATLAB and Python

    by Abhishek Kumar Pandey, Pramod Singh Rathore, Dr. S Balamurugan ...
    Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of ... Read more

    $14.39 USD or Free with Kobo Plus

  • Elementary Thinking for the 21St Century

    by Geoff A. Mohr ...
    The book delves into a unique mix of the following areas: 1. The psychology of learning, memory, and thinking 2. Tools for critical thinking and assessment 3. Collective thinking of groups, corporations, and the public 4. Measurement of attitudes and market research 5. Mathematical logic and computer programming 6. Planning and scheduling techniques 7. Optimization techniques (both linear and non ... Read more

    $4.99 USD

  • Statistical Analysis of Network Data with R

    by Eric D. Kolaczyk, Gábor Csárdi ...
    Series series Mathematics and Statistics (R0)
    Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, ... Read more

    $71.99 USD

  • Inferential Network Analysis

    by Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan ...
    Series series Analytical Methods for Social Research
    This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are ... Read more

    $55.79 USD