Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Rafatirad, Setareh
Homayoun, Houman
Chen, Zhiqian

Paperback

Technology & EngineeringGeneral Computers

ISBN10: 3030967581
ISBN13: 9783030967581
Publisher: Springer Nature
Published: Jul 10 2023
Pages: 458
Weight: 1.46
Height: 0.96 Width: 6.14 Depth: 9.21
Language: English

This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.

Also in

Technology & Engineering

View All