Machine learning (ML) has been a field of research for more than 50 years, and as a subset of artificial intelligence has also been the focus of great innovation in that time.

Many businesses use machine learning throughout their stack and some will have relied upon ML frameworks without realizing it. With the rise in popularity of newer forms of AI developments such as generative AI, however, some have questioned the extent to which traditional approaches such as machine learning algorithms still have a place in the tech industry.

In this episode Jane speaks to Sascha Heyer, senior machine learning engineer at DoiT, to explore whether ML still has a role to play in a world that is more interested in conversational AI.

Read more:

• What is machine learning and why is it important?
• Machine learning vs data science: What’s the difference?
• Machine learning vs deep learning vs neural networks: What’s the difference?
• Machine learning vs AI vs NLP: What are the differences?
• Seven reasons why machine learning is a good career
• Machine learning vs statistics: What’s the difference?