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, …

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 …

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, …

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 …

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 …

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 …

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 …

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 …

PyTorch and Keras are both open-source deep learning frameworks, but they have some significant differences. PyTorch is a low-level framework that allows you to define …

Author: Sadman Kabir Soumik GPT-3, or Generative Pretrained Transformer 3, is a state-of-the-art language model developed by OpenAI. It has been trained on a massive …

What is Vanishing Gradient Problem Neural networks are trained using stochastic gradient descent. This involves first calculating the prediction error made by the model …

Combine two lists as a dictionary | dict(zip) Program 1keys = ['a', 'b', 'c'] 2values = [1, 2, 3] 3dictionary = dict(zip(keys, values)) …

There are several types of ensemble techniques in machine learning, including: Bagging, Boosting, Stacking, Blending, Bootstrapped ensembles, Bayesian model averaging. …

Python's collections module implements specialized container datatypes providing alternatives to Python’s general purpose built-in containers, dict, list, set, and tuple. …

Decision Tree, Random Forest (RF), and Gradient Boosting (GB) are three popular algorithms used for supervised learning tasks such as classification and regression. In …

Start With A Simple Architecture To begin building an app, we will start from the beginning. We will create a basic app with some users. The easiest way to do this is to …

Security Linux tends to be a highly reliable and secure system than any other operating system (OS). Linux and Unix-based OS have fewer security flaws, as many developers …

Word embedding is a technique in natural language processing (NLP) where words are represented as vectors of real numbers. This allows words with similar meanings to have …

Lambda The Lambda function, also known as an anonymous or inline function, is a way to create a function without giving it a name. This can be useful when you need to …

Recurrent Neural Network A recurrent neural network (RNN), is a type of neural network that can process sequential data, like text, audio, or time series data. Here's how …