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Author: Sadman Kabir Soumik What is Generative AI? Generative AI is a subset of artificial intelligence that creates completely new content, like images, videos, music, and text. It uses machine learning to find patterns in existing data and make new content based on these patterns. There are many great generative AI …
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Blind-75 is a curated list of 75 LeetCode problems compiled by Yangshun Tay. The list can be accessed at this link. Initially, I solved each problem using a brute-force approach, which often resulted in a Time Limit Exceeded (TLE) error. Then, I solved each problem with an optimized method that was accepted on …
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Author: Sadman Kabir Soumik Let's first understand what's MLOps. What is MLOps? MLOps (Machine Learning Operations) is a set of practices and tools used to manage the entire lifecycle of machine learning models. MLOps includes everything from data preparation and model training to deployment, monitoring, and ongoing …
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Transformer-based models are a types of neural network architecture that uses self-attention mechanisms to process input data. They were introduced in the paper "Attention Is All You Need" by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia …
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Project Goal The project aims to perform image segmentation on selfie images, see how we can blur the image's background, and even replace the background with some other solid colour like black. We will use a framework called MediaPipe to accomplish this task. About MediaPipe MediaPipe is an open-source framework …
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Goal of The Project The project aims to build an Instagram bot that will auto-scroll pages down and Like/Love posts automatically. We must log in to Instagram from our web browser and then run the program. You will find all the source code in this GitHub repository. Dependencies 1pip install pyautogui 2# if you are on …
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Can you explain the bias-variance trade-off and how it relates to model performance? Machine learning and statistics have a fundamental concept that requires balancing the model's bias and variance, known as the bias-variance trade-off. These two types of errors can affect a model's performance. Bias, the first type of …
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Before jumping into Deep Learning, one must know the classical/traditional Machine Learning algorithms, because understanding traditional machine learning algorithms can provide a strong foundation in machine learning concepts. These algorithms often involve simple, intuitive concepts that can be helpful in …
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Author: Sadman Kabir Soumik Original Two Sum Problem Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target. You may assume that each input would have exactly one solution, and you may not use the same element twice. You can return the answer in any …
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There are 4 main approaches you can consider for model compression. They are: Quantization Pruning Knowledge Distillation Low-Rank Factorization Quantization Quantization is the most general and commonly used model compression method. Quantization reduces a model’s size by using fewer bits to represent its parameters. …
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Elasticsearch Elasticsearch is a distributed, open-source search and analytics engine based on the Apache Lucene search library. It's designed to provide fast and scalable search and analysis capabilities for large volumes of data. At its core, Elasticsearch is a document-oriented database that stores data in JSON …
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What is System Design in Software Engineering? System design in software engineering is defining the structure, components, connections, and information for a system that meets specific needs. It is a vital step in software development as it outlines how the system will work and be structured. A team of developers …
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122.Best Time to Buy and Sell Stock II You are given an integer array prices where prices[i] is the price of a given stock on the ith day. On each day, you may decide to buy and/or sell the stock. You can only hold at most one share of the stock at any time. However, you can buy it then immediately sell it on the same …
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Spark MLlib MLlib is a library for machine learning in Spark that aims to make it easy to use and scalable for practical applications. It includes tools for common ML tasks, such as classification, regression, clustering, and collaborative filtering, as well as featurization methods for feature extraction, …
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Keyphrases are important pieces of information that can be extracted from text documents. These are words or phrases that summarize the main ideas or topics of a text, and they can be useful for a variety of applications, such as document summarization, text classification, and information retrieval. In this blog post, …
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MVP (Minimum Viable Product) The idea of a Minimum Viable Product (MVP) is often used to test a business idea and get feedback from customers, without spending too much time and money on creating a full product. Burn Rate The term "burn rate" means how quickly a company uses its money. It's usually calculated …
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Why do we scale features? For machine learning, every dataset does not require feature scaling, and it is only needed when features have different ranges. For example, consider a data set containing two features, age(x1) and income(x2), where age ranges from 0–100, while income ranges from 0–20,000 and higher. Income …
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When we run web crawlers, sometimes we get blocked by the target site. Sometimes we get reCAPTCHA to solve, and crawling gets interrupted. We can rotate the IP address with each request to avoid these issues, which solves the IP blocking and reCAPTCHA issues. This blog is the written version of the video content I …
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Best way to use extensions is to set keyword shortcuts in chrome://extensions/shortcuts URL. It helps to quickly activate the extension just by using the predefined keyword shortcuts. Focus To-Do: Pomodoro Timer & To Do List Focus To-Do combines Pomodoro Timer with Task Management, it is an app that will motivate …
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In computer vision, image segmentation refers to the process of dividing an image into distinct regions or segments, each corresponding to a different object or background. There are two main approaches to image segmentation: one-stage and two-stage. One-stage image segmentation methods aim to directly predict a …
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