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

[Elvio Rogelio Toccalino]

Gracias por el aviso. Casualmente lo estaba leyendo :)


2013/11/28 Nicolas Bases <nmbases en gmail.com>

> 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.
>>
>> _______________________________________________
>> pyar mailing list pyar en python.org.ar
>> http://listas.python.org.ar/listinfo/pyar
>>
>> PyAr - Python Argentina - Sitio web: http://www.python.org.ar/
>>
>> La lista de PyAr esta Hosteada en USLA - Usuarios de Software Libre de
>> Argentina - http://www.usla.org.ar
>>
>
>
> _______________________________________________
> pyar mailing list pyar en python.org.ar
> http://listas.python.org.ar/listinfo/pyar
>
> PyAr - Python Argentina - Sitio web: http://www.python.org.ar/
>
> La lista de PyAr esta Hosteada en USLA - Usuarios de Software Libre de
> Argentina - http://www.usla.org.ar
>
------------ próxima parte ------------
Se ha borrado un adjunto en formato HTML...
URL: <http://listas.python.org.ar/pipermail/pyar/attachments/20131128/0acdf53e/attachment.html>