Machine Learning (ML) is a powerful technology implemented in various fields. Web scraping isn't any exception – with the use of machine learning, public data gathering projects can become more efficient. Of course, machine learning isn't an easy nut to crack. This is the reason why our host, Augustinas Kalvis, has brought a very special guest with him, Jurijus Gorskovas, a Machine Learning Engineer at Oxylabs. If you want to understand better how machine learning can help you gather structured public information or how to try to develop a machine learning model yourself, the #6 episode of OxyCast has it covered.

In this episode, you'll learn:

• Challenges of finding a job in the machine learning field
• Why is machine learning an exciting field to work in?
• What is a Universal E-Commerce Parser, and how does it work?
• Explanation of the "feature" in machine learning
• Basics of a machine learning model
• Delving deeper to understand "features" even more
• What problems can be solved with machine learning?

*Information provided in this episode is based on our clients' use of Oxylabs' innovative solutions and tools for scraping publicly available data.

Listen to the #6 OxyCast episode on YouTube, Spotify, and Apple Podcasts.

Oxylabs is a premium proxy service provider that offers tools and resources for public data collection. The company believes that every business, big or small, needs to have access to valuable public data.

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