I just finished reading the new book of Bart Baesens: Analytics in a Big Data World, the essential guide to data science and its applications. Before starting this review, let’s be clear from the very beginning: this book is not about Big Data. It neither discusses the philosophy behind Big Data, nor the technical architecture supporting it. The misleading title is the only weak point of this excellent book.
Bart has succeeded to summarize key analytics algorithms and concepts in a few sentences. Each concept is very well explained with both plain text and equations. Although very frequent, they are well explained and help understand algorithms. The book introduction is a journey into how business analytics is used nowadays. Topics such as data preparation, predictive/descriptive analytics and social network analytics are covered.
I would like to highlight the excellent backtesting digital dashboards (p. 145) with lots of practical advices. The last chapter of the book covers applications such as fraud detection, churn prediction and recommender systems among others. In conclusion, if you’re not afraid of equations and would like to get the best coverage of business analytics algorithms, this book is perfect for you!Swiss Association for Analytics (SAA) and the Swiss Statistical Society (SSS). This free afternoon event will take place November 7th and the theme is "Analytics & Statistics for CRM". Our keynote speaker is Dean Abbott, Chief Data Scientist, Smarter Remarketer, Inc. We will also have speakers from Nestlé, Aduno Gruppe, SAS, DiaSys and SandSIV. The event is sponsored… Continue reading... debates between Hadoop providers and EDW vendors. Naturally, Hadoop vendors tout the program’s ability to store unstructured data – a resource which enterprises… Continue reading...The Value of Business Analytics, Evan Stubbs publishes another book about business analytics: Delivering Business Analytics. In summary, Evan wrote a book with good practical advices, although most of them are not strictly related to analytics. Evan starts by defining "business analytics" (BA) with a clear distinction from "analytics". He continues by explaining why BA is useful (which was… Continue reading...
This short book by Max Shron is a good reference to learn about key concepts behind data-driven decision making. One of the most important notion of the book is the emphasis on asking the right question. Indeed, you shouldn't start with the data, but rather with the question (the problem to solve). The book is full of case studies which… Continue reading...Program of the event: - Introduction, Vincent Schickel… Continue reading...Foster Provost and Tom Fawcett are known for their work on fraud detection, among others. I have recently read their last book, Data Science for Business - What you need to know about data mining and data-analytic thinking. No suspense: it's one of the best data mining book I have ever read. Its style allow it to be read by… Continue reading... | 2 Comments