Development

I've long wanted to create educational materials on the topic of Information Theory + Machine Learning. I found some old drafts and decided to polish them up here, on Habr.

Information Theory and Machine Learning seem to me like an interesting pair of fields, the deep connection between which is often unknown to ML engineers, and whose synergy has not yet been fully revealed.

Let's start with basic concepts like Entropy, Information in a message, Mutual Information, and channel capacity. Next, there will be materials on the similarity between tasks of maximizing Mutual Information and minimizing Loss in regression problems. Then there will be a section on Information Geometry: Fisher metric, geodesics, gradient methods, and their connection to Gaussian processes (moving along the gradient using SGD is moving along the geodesic with noise).

It's also necessary to touch upon AIC, Information Bottleneck, and discuss how information flows in neural networks – Mutual Information between layers (Information Theory of Deep Learning, Naftali Tishby), and much more. It's not certain that I'll be able to cover everything listed, but I'll try to get started.

Hello, dear users of the IT world!

In modern web development there are many ways to make your website interesting and attractive to users. And even using simple techniques you can achieve great results!

I suggest you to create a mini-game from scratch yourself. And then, you can use it to liven up and add interactivity to any web page.

How do you deal with index fragmentation if your SQL server is working in high load environment with 24/7 workload without any maintenance window? What are the best practices for index rebuild and index reorganize? What is better? What is possible if you have only Standard Edition on some servers? But first, let's debunk few myths.

Myth 1. We use SSD (or super duper storage), so we should not care about the fragmentation. False. Index rebuild compactifies a table, with compression it makes it sometimes several times smaller, improving the cache hits ratio and overall performance (this happens even without compression).

Myth 2. Index rebuild shorten SSD lifespan. False. One extra write cycle is nothing for the modern SSDs. If your tempdb is on SSD/NVMe, it is under much harder stress than data disks.

Myth 3. On Enterprise Edition there is a good option: ONLINE=ON, so I just create a script with all tables and go ahead. False. There are tons of potential problems created by INDEX REBUILD even with ONLINE and RESUMABLE ON - so never run index rebuilds without controlling the process.

Finally, we will tackle the REBUILD vs REORGANIZE subject and what is possible to achieve if you have only Standard Edition.

In this tutorial, I want to talk about the practical experience of native compilation of a production application written in Kotlin with Spring Boot and Gradle using GraalVM. I’ll start right away with the pros and cons of the native compilation feature itself and where it can be useful, and then I’ll move directly to the build process for MacOS and Windows.

At the end of the article, in the afterword block, I will talk in more detail about the project and why such a need arose, given quite a few limitations and pitfalls of supporting native compilation both from Spring Boot and from GraalVM.

Openjob is a new  distributed task scheduling framework based on Akka architecture. Supports multiple cronjob, delay task, workflow, lightweight distributed computing, unlimited horizontal scaling, with high scalability and fault tolerance. Also has complete management, powerful alarm monitoring, and support multiple languages

There are two articles on Russian, the author of which writes a virtual machine (interpreter) for executing a simple bytecode and then applies different optimizations to make this virtual machine faster. Besides that, there is a compiler of a simple C-like language into this bytecode. After reading this article and getting familiar with the compiler, I thought that it would be interesting to try writing a virtual machine for this language that would be able to apply JIT-compilation to this bytecode with the libjit library. This article describes the experience of doing that.

I found several articles online that describe the usage of this library, but those that I saw, describe the compilation of concrete programs with libjit, while I was interested in compiling arbitrary bytecode. For people interested in further reading, there is an official titorial, a series of articles and a series of comparisons (in Russian).

The implementation was done in C++ because we aren`t playing games here. All my code is in my repository. The "main" branch has just the interpreter of the PigletVM bytecode; "labels-with-fallbacks" has a partial JIT compilation implementation (that doesn`t support JUMP instructions), "full-jit" has fully working JIT-compilationl; "making-jit-code-faster" makes code generated by JIT work faster and "universal-base-vm*" branches merge the interpreter and JIT-compilation implementations, by implementing a base generalised executor, which can be used for different implementations of PigletVM (both the interpreter and libjit compilation)

This custom hook is particularly beneficial in scenarios where you need to handle user input, such as search bars or form fields, where you want to delay the execution of an action until the user has finished typing or interacting. It's also useful for optimizing network requests, ensuring that requests are sent only after the user has stopped typing or selecting options.

There is such an interesting data transfer protocol - APRS. A lot has already been told about him on the Internet. There will be no in-depth theoretical material here. This article will describe how to create your own "pocket" AFSK modulator. In the following articles there will be instructions for going on the air and for creating a simple demodulator. Which will allow you to accept APRS packages and display information on the display right on the street. Everything will be implemented for Flipper Zero. If you don't have this gadget yet, then don't worry and try everything on the great and terrible Arduino. It is very interesting to transmit information at a distance "with your own hands".

Experiments on the Torus

Brief problem formulation

The program accepts as input the absolute path to the image in the bmp extension and the path where you save the result of the work. Then, it rotates the image by 90 degrees counterclockwise. Afterwards, the program saves the new image.

The program is executed on C.

Explaining main algorithm.

For a while I’ve been thinking of writing a scientific article. I wanted it to have certain utility.

Morse code is binary: it takes only two values – either dot (short) or hyphen (long). I figured out that short (s) can stand for two-eye blinking whilst long (l) can indicate left-eye blinking. Another question emerged: how to understand when does one-symbol recording stop?

Empty space between two symbols can be presented by right-eye blinking – r. If I input singly symbol of short (dot) and long (hyphen), I will blink my right eye once to indicate the space between two symbols.

To separate independent words, one has to blink her right eye twice and get rr.

Hence, I have collected an ordered set of symbols – r, l, s, - that can be converted into a full-fledged text. Once I accomplish the transformation, I get an answer.

This is a translated and adopted article I wrote for the Aha'22 (30 May 2022) conference. It describes an approach to a marketplace prices optimisation. Here I've outlined some important definitions and tried to define the scopes and roles of ML, algorithms, and humans in optimal pricing. Although the article covers rather basic things, still, you can find out some new formulas and ideas, because these basics are somewhat "well-known only in a very closed clubs", and besides, the real gem found here is the detailed recipe for ML engineers how to build optimal pricing systems.

Everything that follows from this point forward input prompts, followed by ChatCGP’s responses, complete with sample code in Swift.

> Hey ChatGPT, can you make a SwiftUI registration form with name, address and city fields?

This is a translation of my article in Russian

In this article, I want to write about my experience of interacting with the LeetCode platform, and describe my preparation for an interview in FAANG similar companies by breaking it down into levels.

The whole article is written based on my experience, the numbers are very rough, I do not pretend to be objective, perhaps there are best practices on how to solve LeetCode problems, it would be cool if you share your experience in the comments.

In this article, I want to describe my experience of paying off technical debt on our project in the form of a guide. In this guide, I will highlight some of the most common cases of technical debt and suggest methods for solving them. Since this is a rather extensive topic, I will recommend several books for study, because I do not see it possible to talk about everything within the framework of this article. Everything described applies to the BackEnd part, but it may be suitable for other developers. I would be glad if you share your experience on this topic in the comments.

— Glitchy couch! — Anton exclaimed, yet another time crushing down his fingers by heavy coach he and Sergey were pulling for 14 storeys already.
— ‘Glitchy’? — Sergey asked — have you been coder in the past too?
They’ve been working almost a week together, but Sergey would have never suspected he was coder in the past. Lean and muscular Anton did not look the part at all.
— I had to in my student years, — Anton answered, abashed.
— Relax! One of us. Layout, three years and JS for every browser out there, — Sergey perked up, pushed the couch and pressed it a bit forcefully on Anton.

In order not to buy a defective monitor, it is highly recommended to check it before buying. DE10-Lite is great for this because of a compact size and the presence of a VGA connector.

We are the first year students studying Computer Science in Innopolis University and we would like to share our experience in developing a Verilog program to create the greatest Memory Game (MemGame) that has ever existed on the FPGA board.

In this article, we decided to create a game for extending human memory. You will read the background theory and the incredible story of creation.

Design system creation and integration is a challenging and rather tedious task. It can simply the development process or make it even harder. Anton Polyakov, Project Management Director for Innotech’s Mobile Development Department shares his team’s experience to demonstrate the unforeseen challenges they encountered.

Software message brokers became the standard for creating complex systems. However not all IT specialists understand how these instruments work. Pavel Malygin, Lead System Analyst at Innotech, dives into the topic of message brokers and explains how they are used.