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ML Collections de eBooks

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  • Machine Learning with Python: Foundations and Applications

    ML, #1

    par Mohammed Nurudeen ...
    Collection Livre 1 - ML
    About This BookTitle: Machine Learning with Python: Foundations and ApplicationsThis book, Machine Learning with Python: Foundations and Applications, is designed to offer a comprehensive introduction to machine learning using Python. The primary goal is to take readers from the fundamental concepts of machine learning to hands-on practical implementations using real-world examples. Python is the ... En savoir plus

    CHF 8.50 ou Gratuit avec Kobo Plus

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  • Machine Learning Design Patterns

    par Valliappa Lakshmanan, Sara Robinson, Michael Munn ...
    The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed ... En savoir plus

    CHF 32.41

  • Machine Learning with R

    R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.

    par Brett Lantz ...
    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... En savoir plus

    CHF 43.39 ou Gratuit avec Kobo Plus

  • Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

    par Tristan Luminous ...
    200+ pages of valuable content!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.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on ... En savoir plus

    CHF 3.00

  • Machine Learning with R

    Expert techniques for predictive modeling to solve all your data analysis problems

    par Brett Lantz ...
    Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... En savoir plus

    CHF 39.70 ou Gratuit avec Kobo Plus

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

    par 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 ... En savoir plus

    CHF 3.00

  • Process Performance Models - Statistical, Probabilistic & Simulation

    par Vishnuvarthanan Moorthy ...
    Explains the various techniques of PPM development, simulation and optimization. All the explanations are given with IT industry and usage of alternate techniques to build PPM to suit even smaller organizations. Application of Statistical, Probablistic and Simulation models are elaborated. ... En savoir plus

    Gratuit

  • Machine Learning

    Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

    par Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani ...
    The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision ... En savoir plus

    CHF 11.38 ou Gratuit avec Kobo Plus

  • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

    A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

    par Tarek Amr ...
    Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problemsKey FeaturesDelve into machine learning with this comprehensive guide to scikit-learn and scientific PythonMaster the art of data-driven problem-solving with hands-on examplesFoster your theoretical and practical knowledge of supervised and ... En savoir plus

    CHF 31.39 ou Gratuit avec Kobo Plus

  • Interpretable Machine Learning with Python

    Learn to build interpretable high-performance models with hands-on real-world examples

    par Serg Masís ...
    A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable modelsKey FeaturesLearn how to extract easy-to-understand insights from any machine learning modelBecome well-versed with interpretability techniques to build fairer, safer, and more reliable ... En savoir plus

    CHF 39.70 ou Gratuit avec Kobo Plus

  • Generative AI with Python and PyTorch

    Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

    par Joseph Babcock, Raghav Bali ...
    Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-world applications of LLMs and generative AIFine-tune models with PEFT and LoRA to speed up trainingExpand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and ... En savoir plus

    CHF 37.85 ou Gratuit avec Kobo Plus

  • Artificial Intelligence 2024 Book 2 of 2

    AI, #2

    par Yang Yen Thaw ...
    Collection Livre 2 - AI
    The book is about Artificial Intelligence for Business in Industry 4.0: Demystified by Yang Yen Thaw and includes generative AI. It is an extensive guide designed to make AI concepts accessible and applicable for business and enterprise use. It features 111 AI terms and explanations, along with a practical case study to illustrate AI implementation.The book is structured to cover a broad range of ... En savoir plus

    CHF 30.00