Python for Advanced Machine Learning

Learn the most relevant and cutting-edge machine learning techniques in Python

CATEGORY: Python

SUB-CATEGORY: Machine Learning

PROVIDER: NobleProg


Python  |  Machine Learning

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Course Format

Online

Accreditation Type

Certificate

Skill Level

Intermediate

Course Cost

R60225

Python for Advanced Machine Learning

COURSE OVERVIEW

Course Outline

Introduction

Describing the Structure of Unlabled Data

  • Unsupervised Machine Learning

Recognizing, Clustering and Generating Images, Video Sequences and Motion-capture Data

  • Deep Belief Networks (DBNs)

Reconstructing the Original Input Data from a Corrupted (Noisy) Version

  • Feature Selection and Extraction
  • Stacked Denoising Auto-encoders

Analyzing Visual Images

  • Convolutional Neural Networks

Gaining a Better Understanding of the Structure of Data

  • Semi-Supervised Learning

Understanding Text Data

  • Text Feature Extraction

Building Highly Accurate Predictive Models

  • Improving Machine Learning Results
  • Ensemble Methods
  • Python programming experience
  • An understanding of basic principles of machine learning

21 hours (usually 3 days including breaks)


COURSE COMPLETION

  • Implement machine learning algorithms and techniques for solving complex problems.
  • Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
  • Push Python algorithms to their maximum potential.
  • Use libraries and packages such as NumPy and Theano.

CREDIT BEARING

This course is NOT credit bearing

COURSE LICENCE

This course is available under Attribution-ShareAlike 2.0 South Africa