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 tools today, like DeepMind's …

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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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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 maintenance. The primary goal …

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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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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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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 order. 1Example 1: 2Input: nums …

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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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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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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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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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Suppose you have a script in the Google Cloud’s VM Instance that needs to run every day/week/month at a particular time ( e.g., a data pipeline for Machine Learning model training, data crawling, etc.). In that case, this article will guide you through automating the task. Different ways you can automate a script on …

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Google Cloud Platform (GCP) offers a suite of powerful tools and services for building, training, and deploying machine learning models. One of these tools is Vertex AI, a fully managed platform for building and deploying machine learning models at scale. Vertex AI simplifies the process of training, evaluating, and …

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There are several key differences between using machine learning for research and using it for production. One of the main differences is the focus of the work. Machine learning for research typically focuses on exploring new ideas and techniques, and on advancing the state of the art in the field. In contrast, machine …

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