Written on September 1, 2022 by Stephan Wehner.

Wonder about machine learning? Want to know just a bit more? It is a subset of artificial intelligence that allows computers to learn from data without being explicitly programmed.

For emphasis, there's 4 parts to that:

  • Computer
  • Learn
  • Data
  • Without explicit programming

If one of those is missing, it's not machine learning!

Getting the data and the computer may be the easiest. Not always, but very often.

How does the learning part happen? And without programming?

Learning algorithms use statistical techniques to give computer systems the ability to "learn" with data, identify patterns and make predictions. Machine learning is also known as predictive analytics or statistical learning. Machine learning is closely related to and often overlaps with computational statistics; a subject that concentrates on prediction-making through the use of computers.

What are the uses, what are the limits?

Machine learning can be applied in a wide variety of areas, such as credit scoring, stock market analysis and disease diagnosis. Machine learning is generally divided into three types: supervised learning, unsupervised learning and reinforcement learning. Supervised learning algorithms are used when the data set being used to train the machine includes correct answers. Unsupervised learning algorithms are used when the data set does not include correct answers. Reinforcement learning algorithms are used when the goal is to maximize some notion of cumulative reward by sequentially taking actions.

Let's talk about Python.

Python is a programming language with many features that make it well suited for machine learning.

For example, it has good support for numerical computing, which is important for working with large data sets. In addition, Python's syntax is relatively simple and consistent, which makes it easy to learn and understand. As a result, Python has become one of the most popular programming languages for machine Learning.

Marketing teams can use machine Learning algorithms to automatically segment customers, identify potential churners and predict conversion rates.

Machine Learning can also be used to personalize the content of website pages and email messages based on individual consumer behavior. By using machine Learning, marketing teams can increase their efficiency and effectiveness while reducing the costs associated with manual processes. Machine Learning is revolutionizing the field of marketing by providing organizations with the ability to automate tasks that were previously performed manually.

But as there's many kinds of data, there's many kinds of applications of machine learning!