The book adopts a tutorial-based approach to introduce the user to Scikit-learn. 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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Raúl Garreta is a Computer Engineer with much experience in the theory and application of Artificial Intelligence (AI), where he specialized in Machine Learning and Natural Language Processing (NLP). He has an entrepreneur profile with much interest in the application of science, technology, and innovation to the Internet industry and startups. He has worked in many software companies, handling everything from video games to implantable medical devices. In 2009, he co-founded Tryolabs with the objective to apply AI to the development of intelligent software products, where he performs as the CTO and Product Manager of the company. Besides the application of Machine Learning and NLP, Tryolabs' expertise lies in the Python programming language and has been catering to many clients in Silicon Valley. Raul has also worked in the development of the Python community in Uruguay, co-organizing local PyDay and PyCon conferences. He is also an assistant professor at the Computer Science Institute of Universidad de la República in Uruguay since 2007, where he has been working on the courses of Machine Learning, NLP, as well as Automata Theory and Formal Languages. Besides this, he is finishing his Masters degree in Machine Learning and NLP. He is also very interested in the research and application of Robotics, Quantum Computing, and Cognitive Modeling. Not only is he a technology enthusiast and science fiction lover (geek) but also a big fan of arts, such as cinema, photography, and painting.
Guillermo Moncecchi is a Natural Language Processing researcher at the Universidad de la Repblica of Uruguay. He received a PhD in Informatics from the Universidad de la Repblica, Uruguay and a Ph.D in Language Sciences from the Universit Paris Ouest, France. He has participated in several international projects on NLP. He has almost 15 years of teaching experience on Automata Theory, Natural Language Processing, and Machine Learning. He also works as Head Developer at the Montevideo Council and has lead the development of several public services for the council, particularly in the Geographical Information Systems area. He is one of the Montevideo Open Data movement leaders, promoting the publication and exploitation of the city's data.
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Librería: Bay State Book Company, North Smithfield, RI, Estados Unidos de America
Condición: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing. Nº de ref. del artículo: BSM.VFCA
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Librería: Better World Books Ltd, Dunfermline, Reino Unido
Condición: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: 52930435-20
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781783281930
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Condición: New. Nº de ref. del artículo: ABLIING23Mar2912160162852
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Paperback. Condición: New. Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.Key FeaturesUse Python and scikit-learn to create intelligent applicationsApply regression techniques to predict future behaviour and learn to cluster items in groups by their similaritiesMake use of classification techniques to perform image recognition and document classificationBook DescriptionMachine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of ,Äúbig data,Äù, 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 learnSet up scikit-learn inside your Python environmentClassify 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 Na?Øve BayesUse Decision Trees to explain the main causes of certain phenomenon such as the Titanic passengers' survivalPredict house prices using regression techniquesDisplay and analyse groups in your data using dimensionality reductionMake use of different tools to preprocess, extract, and select the learning featuresSelect the best parameters for your models using model selectionImprove the way you build your models using parallelization techniquesWho this book is forIf 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. Nº de ref. del artículo: LU-9781783281930
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781783281930_new
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Librería: Chiron Media, Wallingford, Reino Unido
Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9781783281930
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 257. Nº de ref. del artículo: C9781783281930
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 118. Nº de ref. del artículo: 2697365764
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