What are the recent trends and challenges in AI and ML?

Posted on by Natalia Konstantinova0 comment

Last week I was a lucky participant of two conferences: Computing AI and Machine Learning Live and  .

The first conference had a bigger range of industries covering the whole spectrum of companies from broadcasting to banking. The main focus was on ML and AI and how they can be used in various businesses. Continue reading

Productionising data science

Posted on by Natalia Konstantinova2 comments

Last week I’ve been to a very interesting meetup about Data Science.

It was focused on Productionising data science and was presented by Dr. Pascal Bugnion & Dr. Scott Stevenson from ASI (http://www.theasi.co).

The insight provided was very structured and interesting, so I decided to summarise all the suggested ‘recipes’. Continue reading

Category: Machine Learning

AIST conference

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AIST conference (Analysis of images, social networks and texts) was held in Yekaterinburg, on 10-12th April.  This conference gives opportunity to specialists from various fields to meet each other and get inspiration for new collaboration and experiments.

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Why is Big data becoming so popular?

Posted on by Natalia Konstantinova2 comments

Published at .

Big data is becoming a really popular trend of research and business developments. So it would be interesting to discuss the reasons for such popularity.

What is big data? Continue reading

Category: Big Data

Machine learning explained in simple words

Posted on by Natalia Konstantinova20 comments

“Machine learning” sounds mysterious for most people. Indeed, only a small fraction of professionals really know what it stands for. And there is a serious reason for it – this field is rather technical and difficult to explain to a layman. However, we would like to bridge this gap and explain a bit about what machine learning (ML) is and how it can be used in our everyday life or business.

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Category: Machine Learning

Review of Harvard Course “Data science”

Posted on by Natalia Konstantinova1 comment

Another review published at .

I have recently explored a course offered by Harvard School of Engineering and Applied Science – CS109 Data Science. It provides insightful examples of how Machine Learning (ML) and statistical analysis can be used in real life.

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Review of “Learning From Data”

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My review published at .

As MOOCs are becoming a new trend in education, an increasing number of courses are appearing online: some are adequate, some are good but only a few of them can be classified as outstanding. I think I was lucky to take one of those outstanding ones. It was a course focused on Machine Learning (ML) offered by edX platform – Learning From Data. Continue reading