Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python

Harsh Bhasin

Informasi Dasar

33 kali
21.21.012
006.31
Buku - Elektronik (E-Book)
4

This book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection. The book covers algorithms and implementations of the most common Feature Selection Techniques. The book then focuses on Linear Regression and Gradient Descent. Some of the important Classification techniques such as K-nearest neighbors, logistic regression, Naïve Bayesian, and Linear Discriminant Analysis are covered in the book. It then gives an overview of Neural Networks and explains the biological background, the limitations of the perceptron, and the backpropagation model. The Support Vector Machines and Kernel methods are also included in the book. It then shows how to implement Decision Trees and Random Forests.

Towards the end, the book gives a brief overview of Unsupervised Learning. Various Feature Extraction techniques, such as Fourier Transform, STFT, and Local Binary patterns, are covered. The book also discusses Principle Component Analysis and its implementation.

Subjek

Machine Learning
 

Katalog

Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python
978-9389845426
252p.: pdf file.; 8 MB
English

Sirkulasi

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Pengarang

Harsh Bhasin
Perorangan
 
 

Penerbit

BPB Publications
New York
2020

Koleksi

Kompetensi

  • CII3O3 - IOT DENGAN KEMAMPUAN CERDAS
  • CPI3O3 - IOT DENGAN KEMAMPUAN CERDAS
  • TKI4F3 - PEMBELAJARAN MESIN
  • CII3C3 - PEMBELAJARAN MESIN
  • CPI3C3 - PEMBELAJARAN MESIN
  • TEI4N3 - PEMBELAJARAN MESIN DAN APLIKASI
  • CII3L3 - PEMBELAJARAN MESIN LANJUT
  • TEI6G3 - PEMBELAJARAN MESIN LANJUT
  • CPI3L3 - PEMBELAJARAN MESIN LANJUT
  • CII7F3 - PEMBELAJARAN MESIN UNTUK SISTEM REKOMENDASI
  • CII7F3 - PEMBELAJARAN MESIN UNTUK SISTEM REKOMENDASI
  • TTI2F2 - PEMROGRAMAN PYTHON
  • TTI2F2 - PEMROGRAMAN PYTHON

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