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  • Machine Learning with Python: Foundations and Applications

    ML, #1

    Serie Boek 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 ... Meer lezen

    8,99 € of Gratis met Kobo Plus

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  • 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.

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    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 ... Meer lezen

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

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    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 ... Meer lezen

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  • Machine Learning with R

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

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    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. ... Meer lezen

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  • Machine Learning

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

    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 ... Meer lezen

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

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

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    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 ... Meer lezen

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  • Interpretable Machine Learning with Python

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

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  • Generative AI with Python and PyTorch

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  • Artificial Intelligence 2024 Book 2 of 2

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