Ensemble Learning for AI Developers

Learn Bagging, Stacking, and Boosting Methods with Use Cases

Häftad, Engelska, 2020

506 kr

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Beskrivning

Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed.

Produktinformation

Utgivningsdatum:2020-06-19
Mått:155 x 235 x 9 mm
Vikt:242 g
Format:Häftad
Språk:Engelska
Antal sidor:136
Upplaga:20001
Förlag:APress
ISBN:9781484259399

Utforska kategorier

Artificiell intelligens inom Data och IT
Programspråk inom Data och IT

Mer om författaren

Alok Kumar is an AI practitioner and innovation lead at Publicis Sapient. He has extensiveexperience in leading strategic initiatives and driving cutting-edge, fast-paced innovations. He won several awards and he is passionate about democratizing AI knowledge. He manages multiple non- profit learning and creative groups in NCR.Mayank Jain currently works as Manager Technology at the Publicis Sapient Innovation Lab Kepler as an AI/ML expert. He has more than 10 years of industry experience working on cutting-edge projects to make computers see and think using techniques such as deep learning, machine learning, and computer vision. He has written several international publications, holds patents in his name, and has been awarded multiple times for his contributions.

Innehållsförteckning

Chapter 1: Why Ensemble Techniques Are Needed.- Chapter 2: Mix Training Data.- Chapter 3: Mix Models.- Chapter 4: Mix Combinations.- Chapter 5: Use Ensemble Learning Libraries.- Chapter 6: Tips and Best Practices.