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Machine Learning for Python Developers (Lecture)

Date:
Duration: 1 day
Grant Aided Cost: On request
Location: Dublin
Course Code: 414
Note:

This course will provide you with an introduction to core Machine Learning techniques: you will get an overview of the Machine Learning landscape as well as tools and resources in Python.  You can also choose to undertake a two day practical course in Machine Learning for Python Developers.

  • To have a familiarity with the Machine Learning landscape
  • Understand the different types of Machine Learning algorithms
  • Identify suitable Machine Learning techniques for different types of data
  • To be understand how to implement and evaluate basic Machine Learning algorithms in Python

This is ideally suited for Python developers. No Machine Learning experience is required.

Proficiency in Python development including: array manipulations with NumPy, loading libraries, and plotting using Matplotlib.

Introduction

A high level overview of key Machine Learning concepts

Topic 1

Introduction to Regression: a supervised learning technique
Regression analysis
Regression demonstration

Topic 2

Working with data
Feature transformation introduction and demonstration
Feature selection introduction and demonstration

Topic 3

Introduction to clustering: an unsupervised learning technique
Clustering demonstration

Topic 4

Introduction to data classification
Classifying data using Naïve Bayes demonstration

Topic 5

Introduction to time-series analysis
Time series analysis demonstration

Topic 6

Introduction to Neural Networks
Demonstration of Multilayer perceptrons

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