SKU/Artículo: AMZ-B09QBPJZ9D
Machine Learning for Absolute Beginners: Python for Data Science, Book 3
Format:
Audiobook
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Featured by Tableau as the first of "7 Books About Machine Learning for Beginners."Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add "Machine Learning" to your LinkedIn profile?Well, hold on there.... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.But rather than spend $30-$50 USD on a thick textbook, you may want to listen to this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.New Updated EditionThis new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition.Disclaimer: If you have passed the "beginner" stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.In this step-by-step guide, you will learn:How to download free datasetsWhat tools and machine learning libraries you needData scrubbing techniques, including one-hot encoding, binning and dealing with missing dataPreparing data for analysis, including k-fold ValidationRegression analysis to create trend linesk-Means Clustering to find new relationshipsThe basics of Neural NetworksBias/Variance to improve your machine learning modelPLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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AR$41.184
49% OFF
AR$21.119
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