Automated Machine Learning in Action MEAP V08 cover
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This is an online version of the Manning book Automated Machine Learning in Action . With liveBook you can access Manning books in-browser — anytime, anywhere.


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The book mainly targets the practitioners who want to adopt machine learning (ML) techniques but do not have intensive experience in it, or those with intensive experience but want to save their efforts in creating ML solutions. To get the most benefit from this book, you may want to have some experience in Python and mathematical basics about linear algebra and probability. It would also be helpful if you have some established skills in tackling an ML problem.

ML has been extensively explored and immersed in everyday life. Despite the benefit of its convenience, the cost of learning the techniques and accumulating the experience in applications hinders it from being easily used by practitioners. Automated machine learning (AutoML) has recently emerged as a prevailing field, aiming to simulate how human experts solve ML problems. It could help automatically discover optimal ML solutions for a given problem, thereby making the off-the-shelf ML techniques more accessible to those practitioners who don’t have extensive experience. Simultaneously, it also relieves the burden on data scientists of designing and configuring the ML models.