Python for Advanced Machine Learning Training Course

Course Code

pythonadvml

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Python programming experience
  • An understanding of basic principles of machine learning

Overview

In this instructor-led, live training, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.

By the end of this training, participants will be able to:

  • 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

Audience

  • Developers
  • Analysts
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

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

Summary and Conclusion

Client Testimonials

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £4350

Private Remote

From £3900 (101)

Public Classroom

Cannot find a suitable date? Choose Your Course Date >>Too expensive? Suggest your price

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.