NLP in everyday applications 1.1. It is also interesting to evaluate aspects of human’s life, in which natural language processing is already highly integrated. The most proper and widely used example is complex and exiting idea of combing functionality of search engines with NLP related algorithms, as modern search engines can be described as the main source of information for most of the people…
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Machine Learning Club
Our organization aims to serve as a community for discussing, learning about, and working on topics related to machine learning and artificial intelligence across disciplines. Meeting activities include discussions of current events in AI, professor talks, tutorials, and workshops.
Machine Learning Club
The goal of the club is to let people develop and enhance their skills which would help them to understand the principles of machine learning, data science and data analysis. The club is mainly for students who would like to develop skills and can share their own industry experience and thoughts. Now we are progressing in development of our website where all the participants could ask technical/non-technical questions. After getting a better understanding of the basic tools we will continue to develop and apply machine learning to the areas which could be improved (health system, social issues, education and so on).
We are discussing different ideas, how to implement ai or ml to the current problems. How we can develop models with open source date, making practical decisions and implementing them.
We encouraging everyone to join the club, cause we are teaching from the beginning. Exchanging ideas and discussing the problems that could be solved nowadays with the help of ML.
We organizing competitions and improving machine learning models, trying to catch up with time that's why discussing all newest trend in AI and ML.
We inviting many lecturers with theoretical and practical backgrounds, most of them have everyday experience with machine learning and data science.
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Introduction Today, machine learning and deep learning solutions are highly integrated in almost all aspects of people’s lives. Most of those solutions were created to deal with novel, highly specified tasks, while the others, can deal with wide range of problems. Due to this, at some point most of the people have a desire to get familiar with those mechanisms work and understand what is going on…
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flavor wheel So let's start with artificial intelligence. The term artificial intelligence was first coined in the year 1956. The concept is pretty old, but it has gained its popularity recently.But why well, the reason is earlier we had very small amount of data the data we had Was not enough to predict the accurate result, but now there's a tremendous increase in the amount of data statistics…
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chemex T 10. Sales forecasting It a common task performed by many organizations, mostly used in retail and e-commerce sectors. Earlier it used to be involved in a manual intense process of using spreadsheets that require an inputs from various levels of an organization. This approach introduced Bias and was generally not accurate especially during first week of a quarter. But machine learning…
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How do we start For the record, from now on if I say just regression, I am referring to simple linear regression as opposed to multiple regression or models that are not linear, which we will hopefully get to those later. Now regression allows us to model mathematically the relationship between two or more variables, using very simple algebra, to be specific. For now, we'll be working with just…
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