48 min.
Why Machine Learning is not the Holy Grail with Nikolay Bashlykov Would You Data Scientist?
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- Wetenschap
This week on Would You Data Scientist, Wendy is joined by Nikolay Bashlykov, an expert in data science and machine learning. Find out Nikolay’s tips on getting into data and why he thinks that machine learning should not be the be all and end all of your skillset. There’s also Wendy’s usual deep dive into ethics, diversity, and the challenges you may face when you pivot into data.
KEY TAKEAWAYS
Nikoley’s favourite piece of tech ever is around encryption when processing data. The technology allows you to analyse the data without actually seeing what the data is, this is very good for privacy, especially in the medical fields where you can’t break confidentiality.The real challenge in data is explaining why your machine learning model worked and getting your client to understand that in a simple way. You need to make sure you actually solve the customers business problem, rather than just talk tech at them.If you’re getting into data then it’s important to gain experience as early as you can, especially if you can show the initiative to get stuck in yourself. The more you get to work with real data taken from real sources and the more you can speak to and learn from people within the industry, the better your applications will look.When you learn something new, actually put it into practice. If you don’t do the things you learn, then you will probably forget it and won’t be able to demonstrate that you have done it. Once you’ve learned something new and done it, that then becomes the neck brick in your foundations that you can build on top of.Be persistent. Every year the industry grows and the technology develops. There will be opportunities in data for people who keep going.
BEST MOMENTS
‘Machine learning is not the Holy Grail’
‘Learn something new, start applying it straight away, and build on top of it’
‘I think machine learning will merge with software engineering’
VALUABLE RESOURCES
https://practicum.com/
linkedin.com/in/ethicalrecruiter
qwerkrecruitment.com
@qwerkrec on socials
ABOUT THE HOST
Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years.
PODCAST DESCRIPTION
Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they’ve faced to help next generation Data Scientists from all walks of life to access their dream career.
This show was brought to you by Progressive Media
Hosted on Acast. See acast.com/privacy for more information.
This week on Would You Data Scientist, Wendy is joined by Nikolay Bashlykov, an expert in data science and machine learning. Find out Nikolay’s tips on getting into data and why he thinks that machine learning should not be the be all and end all of your skillset. There’s also Wendy’s usual deep dive into ethics, diversity, and the challenges you may face when you pivot into data.
KEY TAKEAWAYS
Nikoley’s favourite piece of tech ever is around encryption when processing data. The technology allows you to analyse the data without actually seeing what the data is, this is very good for privacy, especially in the medical fields where you can’t break confidentiality.The real challenge in data is explaining why your machine learning model worked and getting your client to understand that in a simple way. You need to make sure you actually solve the customers business problem, rather than just talk tech at them.If you’re getting into data then it’s important to gain experience as early as you can, especially if you can show the initiative to get stuck in yourself. The more you get to work with real data taken from real sources and the more you can speak to and learn from people within the industry, the better your applications will look.When you learn something new, actually put it into practice. If you don’t do the things you learn, then you will probably forget it and won’t be able to demonstrate that you have done it. Once you’ve learned something new and done it, that then becomes the neck brick in your foundations that you can build on top of.Be persistent. Every year the industry grows and the technology develops. There will be opportunities in data for people who keep going.
BEST MOMENTS
‘Machine learning is not the Holy Grail’
‘Learn something new, start applying it straight away, and build on top of it’
‘I think machine learning will merge with software engineering’
VALUABLE RESOURCES
https://practicum.com/
linkedin.com/in/ethicalrecruiter
qwerkrecruitment.com
@qwerkrec on socials
ABOUT THE HOST
Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years.
PODCAST DESCRIPTION
Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they’ve faced to help next generation Data Scientists from all walks of life to access their dream career.
This show was brought to you by Progressive Media
Hosted on Acast. See acast.com/privacy for more information.
48 min.