Machine Learning for Absolute Beginners

0
Certificate

Paid

Language

Level

Intermediate

Access

Free

Last updated on April 25, 2024 3:14 pm

This computer science course for beginners lays out the basics of machine learning practices used to power artificial intelligence and image processing.

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Artificial intelligence with machine learning (ML) is one of the biggest revolutions in the software industry. This course is a ‘soft’ starting point that will walk you through the fundamental theoretical concepts of machine learning. We will open the mysterious ML black box, explore its potential and become more familiar with terms used in the industry. The course is designed for absolute beginners and has no prerequisites.

What You Will Learn In This Free Course

  • Outline the connection between artif…
  • Describe the concept of supervised a…
  • Recognise supervised learning buildi…
  • Explain the process of training a mo…
  • Outline the connection between artificial intelligence, machine learning and deep learning
  • Describe the concept of supervised and unsupervised learning
  • Recognise supervised learning building blocks of features and labels and provide examples
  • Explain the process of training a model in supervised learning
  • Recognise the challenges of underfitting and overfitting
  • Identify classification and regression tasks
  • Outline clustering and dimension reduction
  • Describe reinforcement learning
  • Introduction to AI and ML

    In this module, you will learn the fundamental concept, industry terms and main building blocks of Artificial Intelligence (AI) and Machine Learning (ML).

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