[pyar] [ANN] Libro: Learning scikit-learn: Machine Learning in Python

[Nicolas Bases]

Gracias!


2013/11/28 Elias <copybin en gmail.com>

>
> Hace poquito acaba de publicarse el libro:
> *Learning scikit-learn: Machine Learning in Python*
> ya está disponible en Amazon: http://amzn.com/1783281936
> Autores: Raúl Garreta, Guillermo Moncecchi
>
> Ambos de la comunidad python de Uruguay :D,
>
> Saludos, Elías
>
> ----------------------------
>
> Experience the benefits of machine learning techniques by applying them to
> real-world problems using Python and the open source scikit-learn library
>
> *Overview*
>
>    - Use Python and scikit-learn to create intelligent applications
>    - Apply regression techniques to predict future behaviour and learn to
>    cluster items in groups by their similarities
>    - Make use of classification techniques to perform image recognition
>    and document classification
>
> *In Detail*
>
> Machine learning, the art of creating applications that learn from
> experience and data, has been around for many years. However, in the era of
> “big data”, huge amounts of information is being generated. This makes
> machine learning an unavoidable source of new data-based approximations for
> problem solving.
>
> With Learning scikit-learn: Machine Learning in Python, you will learn to
> incorporate machine learning in your applications. The book combines an
> introduction to some of the main concepts and methods in machine learning
> with practical, hands-on examples of real-world problems. Ranging from
> handwritten digit recognition to document classification, examples are
> solved step by step using Scikit-learn and Python.
>
> The book starts with a brief introduction to the core concepts of machine
> learning with a simple example. Then, using real-world applications and
> advanced features, it takes a deep dive into the various machine learning
> techniques.
>
> You will learn to evaluate your results and apply advanced techniques for
> preprocessing data. You will also be able to select the best set of
> features and the best methods for each problem.
>
> With Learning scikit-learn: Machine Learning in Python you will learn how
> to use the Python programming language and the scikit-learn library to
> build applications that learn from experience, applying the main concepts
> and techniques of machine learning.
>
> *What you will learn from this book*
>
>    - Set up scikit-learn inside your Python environment
>    - Classify objects (from documents to human faces and flower species)
>    based on some of their features, using a variety of methods from Support
>    Vector Machines to Naïve Bayes
>    - Use Decision Trees to explain the main causes of certain phenomenon
>    such as the Titanic passengers’ survival
>    - Predict house prices using regression techniques
>    - Display and analyse groups in your data using dimensionality
>    reduction
>    - Make use of different tools to preprocess, extract, and select the
>    learning features
>    - Select the best parameters for your models using model selection
>    - Improve the way you build your models using parallelization
>    techniques
>
> *Approach*
>
> The book adopts a tutorial-based approach to introduce the user to
> Scikit-learn.
>
> *Who this book is written for*
>
> If you are a programmer who wants to explore machine learning and
> data-based methods to build intelligent applications and enhance your
> programming skills, this the book for you. No previous experience with
> machine-learning algorithms is required.
>
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