Machine learning is the next great frontier in big data. AI is set to revolutionize everything from how we interact with each other to how we work.
There are many ways to implement ML projects, but not all of them work out as planned. That’s why Vadim Nareyko, CEO, EnCata Soft will be giving a primer on Machine learning during his Data Summit 2019 presentation, “The Five Biggest Mistakes in Machine Learning.”
The sixth annual Data Summit conference will be held in Boston, May 21-22, 2019, with pre-conference workshops on May 20. Registration is now open.
“My aim is to speak about common mistakes in machine learning projects,” Nareyko said. “A lot of startups and spin-offs that implement machine learning make common mistakes, especially when starting projects. So, it's really important to detect all the mistakes and myths that interfere with the correct perception of machine learning."
It’s important to present this now, Nareyko explained, because of the rising quantity and quality of startups in the machine learning space.
“There are more and more businesses that can have benefits from the right machine learning implementation,” he said.
This will be Nareyko’s first time at Data Summit and his goal is to make the world of Data Science better.
"It will be my first time at Data summit. I want to have not just a lecture, but a real discussion,” Nareyko said.
He believes attendees will be eager to hear about real use cases regarding machine learning and AI.
“I suppose that attendees will be interested in real cases: how quickly can you implement Machine Learning, how quickly can you get the results, how much the implementation can cost, what tools are to use, etc,” Nareyko said. “I want to add that it's always important to convey information, but questions of the audience are equally important. The interest and questions from the audience create benefits for those who listen and for those, who ask.”
Nareyko will present his Data Summit session, on Wednesday, May 22, at 10:45 am.
For more information about Data Summit 2019, and to register, go here.
To review the Data Summit program, go to https://www.dbta.com/DataSummit/2019/Program.aspx