Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation and email spam filtering wouldn't be possible and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.
Machine Learning For Dummies is the ideal resource for anyone who manages large data sets and needs automation in order to use them productively. Any professional who performs intensive data-related tasks can benefit from this book. Many students are now enrolling in machine learning courses, and would also benefit from an outside resource.
John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 99 books and more than 600 articles to date. The topics range from networking to home security and from database management to heads-down programming. During his time at Cubic Corporation, John was exposed to reliability engineering and has had a continued interest in probability ever since.
Luca Massaron is a data scientist specialized in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques. Because of his job as a quantitative marketing consultant and marketing researcher, he has been involved in quantitative data since 2000 with different clients and in various industries.
Rajeev Suri, the CEO of Nokia, spends about 70% of his time traveling on business beyond the company’s Helsinki head office. Describing himself as “a digital reader” in a Financial Times* interview (“Rajeev Suri: What the Nokia CEO Reads on His Way to Work,” September 25, 2016), Suri adds: “I read nonfiction, but I can’t find enough time to read many books, so these days it’s all about technology.” Case in point: our Machine Learning For Dummies. “If you want to predict the future better, you need to understand this stuff,” Suri says.
Machine learning can be a mind-boggling concept, but anyone working in the trenches of computer programming knows how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible – and these are just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a critical entry point for anyone looking to use machine learning to accomplish practical everyday tasks.
* The Financial Times has an average daily readership of 2.2 million people.