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The LION Way: Machine Learning plus Intelligent Optimization (English Edition)
 
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The LION Way: Machine Learning plus Intelligent Optimization (English Edition) [Format Kindle]

Roberto Battiti , Mauro Brunato

Prix éditeur - format imprimé : EUR 22,16
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  • Longueur : 456 pages (estimation)
  • Langue : Anglais
  • En raison de la taille importante du fichier, ce livre peut prendre plus de temps à télécharger
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Descriptions du produit

Présentation de l'éditeur

Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits.
LION’s adoption will create a prairie fire of innovation which will reach most businesses in the next decades. Businesses, like plants in wildfire-prone ecosystems, will survive and prosper by adapting and embracing LION techniques, or they risk being transformed from giant trees to ashes by the spreading competition.

Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 17245 KB
  • Nombre de pages de l'édition imprimée : 456 pages
  • Editeur : Roberto Battiti and Mauro Brunato (26 février 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00ITTV8VE
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
  • Classement des meilleures ventes d'Amazon: n°213.269 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
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Amazon.com: 5.0 étoiles sur 5  5 commentaires
4 internautes sur 4 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A wonderfully warm introduction to Machine Learning 9 avril 2014
Par Stephen Oates - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
There are many Machine Learning books on the market, from mathematical tomes to practical books full of code. This is not an easy one to place on this spectrum. At first it seems like a light hearted romp through the field. It contains entertaining quotes and humour, yet this idea is quashed when you see it is not afraid to lay out many mathematical equations. It has fun little cartoons but also complex diagrams. Soon you realise that despite the fun its a book of serious intent aimed at giving you a brisk but solid and deep foundation to Machine learning. So given its seemingly conflicting traits, who does this book suit? I would say beginners to intermediate machine learning practitioners who are particularly interested in brushing up their mathematical understanding of the underlying theory. Despite the fact that it is very easy to read, it is much deeper then it first appears, so there is a lot of work involved in understanding all the book has to offer. Yet the writing is very clear, which makes it as "easy" to learn this complex field as it can be. Especially given the price this is an excellent work that deserves a place on the shelf of those interested in Machine Learning.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Informative and well written 11 mars 2014
Par E. Tsang - Publié sur Amazon.com
Format:Format Kindle
This is an excellent book in machine learning and optimization, written by world-experts in the field. The book is informative and lively. The authors use ample illustrations and examples. The concepts are explained thoroughly in simple terms, which makes the book easy to follow. This book introduces concepts that every computer scientist, operational researcher or computational intelligent users should know. It is a valuable reference to both students and practitioner.

Machine learning is one of the most important parts of artificial intelligence. A good book in machine learning is valuable. This book has the quality that matches the best ones published so far. This book covers both supervised learning and unsupervised learning in depth. It also relates them to applications.

Optimization is an important subject. Optimization problems can be found everywhere. No other book could possibly have explained Reactive Search Optimization better than this book, as the authors are inventors and experts in this method. In a nutshell, Reactive Search Optimization is a method that integrates online machine learning techniques into search heuristics.

I find the example applications particularly useful: Text and web mining (for studying web pages and social networks) and collaborative filtering and recommendation (as in internet shopping) are both topical. They are both important big-data applications.
2 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 couldn't stop reading 22 mars 2014
Par HSUAN-TIEN LIN - Publié sur Amazon.com
Format:Broché
Literally, I couldn't stop reading the book after getting it.

As a machine learning researcher and instructor, I know most of the contents by heart. The reason that I couldn't stop is because of the style of writing. The authors nicely illustrate many ideas with colorful figures---many with friendly warm human-hand drawings rather than cold machine-generated figures. The authors spend every bit of effort to highlight the intuitive explanation of every model, and provide many inspiring examples along the way. I find many of those examples new and useful to me and can certainly help my future teaching.

I love the unique view of the authors, along with my favorite quote: "If optimization is fuel, the match to light the fire is machine learning." This view allows the authors to illustrate machine learning by looking at what's being (intelligently) optimized, and hints the powerfulness of the optimization fuel that the LION solver is providing. One clear target of the book is for people using ML to make intelligent decisions, such as for business analytic experts. Reading the book would certainly allow such experts to combine their domain knowledge (camping skill?) with the match of machine learning and the fuel of optimization to a wonderful BBQ experience!
3 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Smooth read, covers the essential ideas, will help even experienced practitioners avoid mistakes. 12 mars 2014
Par Theofilos Strinopoulos - Publié sur Amazon.com
Format:Format Kindle
The LION Way uses everyday terms that undergraduate engineering students, computer scientists and business executives should be able to understand. It avoids lengthy mathematical proofs and is full of examples that illustrate the underlying ideas.

The LION Way covers a variety of ideas within statistics and machine learning, and focuses on the intuition behind the design of algorithms rather than the details. The book distills what is essential about the underlying ideas, and will help even seasoned practitioners avoid pitfalls when implementing algorithms. The authors are veterans of machine learning which shows when they intersperse facts about the evolution of the domain.

An underlying theme of the book is how machine learning and optimization are inspired by the way that humans learn.
5.0 étoiles sur 5 Awesome book 8 août 2014
Par Kou Qiang - Publié sur Amazon.com
Format:Broché|Achat vérifié
Just an awesome book. I am student new to machine learning, and this book helps me greatly.
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