Many of the popular services, apps, and technologies we take for granted today are driven by intelligent machines. It might evoke sci-fi images of Terminator-filled doomscapes for some, but the concept of “machine learning” is already an integral part of our world.
From Google Maps and Siri to Netflix and email spam filters, machine learning is making our lives better in fascinating ways, and it’s a valuable tool for businesses to tap into.
Machine learning is one of the fastest-growing freelance skills on Upwork. For tech-savvy freelancers and larger companies alike, it’s worth understanding the basics of machine learning and how it can benefit your business. These articles from the Hiring Headquarters are a great place to start.
What is machine learning?
At its core, machine learning is all about solving real-world problems: With the right data sets and tuned algorithms, computers can model outcomes, make predictions, learn, and adapt to provide solutions to increasingly complex challenges humans can’t easily solve on our own—all without additional input from developers.
“Machine Learning: A Brief Intro” is a primer to help you get up-to-speed on how machine learning works. It explains key definitions and case examples while exploring some of the more interesting ways that the technology is currently in use.
It also references related skills that make machine learning possible. If you want to hire machine learning experts or explore this discipline directly, Hadoop, Python, and Java are important skills that tie directly into implementing and maximizing the benefit of this technology.
Learn more with the help of a data scientist
The magic of machine learning can be a powerful tool for innovation, from providing your customers with adaptive services to uncovering insights that can drive key decisions for your business.
Putting these complex systems in place and ensuring they work smoothly is no simple task, and it often takes the advanced skills of a data scientist to get the job done effectively.
“How Do You Hire a Data Scientist?” explores the range of roles that data scientists play and explains how you can fine tune your approach to finding one for your project—including tips to help you write an effective job post to help attract high-caliber freelancers. You’ll also find insights into what you should look for in a proposal, as well as questions you might want to incorporate into the interview process.
Looking for more information and insights to help find top freelance talent? Head over to the Hiring Headquarters to learn more >>
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