Posts

Machine Learning in medicine.

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 23th December 2024 Artificial Intelligence (AI) and machine learning (ML) are so much more than Chat GPT, image creators, and other ways of filling the internet with even more content. In a world with data is everything, machine learning can help us analyse and understand this information more effectively. It can help us make breakthrough discoveries and create innovative solutions to improve people’s lives. This is particularly true in the healthcare sector. In healthcare, machine learning has the potential to transform patient outcomes, enhance the quality of care, streamline healthcare delivery, and, more importantly, make healthcare more accessible and cost-effective. In recent years, predictive healthcare models have been developed that can accurately identify trends, patterns, and subtle abnormalities that may escape even the most experienced professional, and, as such, applications of machine learning are growing rapidly, from early diagnosis of diseases to pr...

Yandex GPT

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    Hello! In today's article I'd like to talk about some research done by experts on whether YandexGPT understands culture-specific phenomena: references to movies and songs, quotes, traditions, jokes, memes, and more. This is a very important discussion, as YandexGPT is used in major products like Search and Alice, which millions of people interact with every day - the neural network must be able to understand cultural references of all kinds.   How it all started Cultural code is a system of signs, traditions, norms, and concepts that distinguish one group of people from another. The cultural code can describe anything: generations, hobbies, professions, religion — any groups of people united by a significant common context. However, it is most often recalled when talking about cultural differences between nationalities and countries. In December 2023, the team of experts took on a big task — to digitize the understanding of the modern Russian cultural code. Together w...

The anatomy of an SQL query

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Every query to the database goes through several important stages of processing. Let's break down this process using the example of a query: Step 1: Transport Subsystem When you execute a query, the query string first enters the database's transport subsystem. This subsystem is responsible for managing the connection with the client and performs the initial authentication and authorization checks. If everything is in order, the query is passed to the next stage. Step 2: Query Handler The query enters the query handler, which consists of two main components: Query Parser : It breaks the SQL query into its components (SELECT, FROM, WHERE, etc.), checks for syntax errors, and creates a parse tree. Query Optimizer : After the query is parsed, the optimizer checks for semantic errors (e.g., whether the "users" table exists). It also determines the most efficient way to execute the query. As a result of the optimizer’s work, an execution plan is created, which describes h...

PET-Projects for Analysts

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  Why are pet projects important? Pet projects are personal projects that you create outside of work or study for practice and skill development. They allow you to reinforce knowledge and gain real-world experience that is hard to find in courses or theory. Employers value pet projects because they demonstrate your ability to solve problems in practice and show your interest in the profession.   Do what EXACTLY you like A pet project is also good because you choose what it will be about. The territory of the domain, the tasks that the project will solve on time, and even design solutions are all at your discretion. You decide for yourself how long you will study it, what the sequence of work will be and, in general, how much and when you expect it.   Gain experience before landing your first commercial project job ...

Intro to my blog

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 Hello! My name is Sarvar Isakov, and I am currently a Junior student of Hardware Engineering Department at Inha University in Tashkent. As I continue to dive deeper into my studies, particularly in fields like data analysis and machine learning, I've decided to start this blog to share what I learn and discuss what's going on in related areas. My goal with this blog is to provide insights into various professions related to technology, particularly those in high demand today, like data analysis, machine learning, and artificial intelligence. Through mini-researches, I will explore the skills required, industry trends, challenges, and opportunities within these fields. In this blog, you can expect to find a variety of posts that examine the latest advancements in machine learning algorithms, the practical applications of data analysis in various industries, and even tips on how to get started in these exciting fields. Whether you're a student like me or someone interested ...