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The Naïve Bayes algorithm is one of the fundamental things to study when studying statistics of artificial intelligence. Here I’m going to explain naive Bayes. It is very basic algorithm, yet one of most usefulusefull untill now. Probability vs likelihood.…
Convolutional neural networks (CNNs) are a type of neural network that are particularly good at processing data with a grid-like topology, such as an image. They are inspired by the structure of the visual cortex, which is organized into small…
Deep learning is a subset of machine learning that uses deep neural networks to process large amounts of data and make complex decisions. Deep learning algorithms learn from data in an iterative process, adjusting the parameters of the model based…
Dive into the World of EXL2 Quantization and Its Impact on AI Efficiency Introduction Reducing the size and speeding up the processing of Large Language Models (LLMs) is commonly achieved through quantization, with GPTQ emerging as a standout method for…
What is Imbalance Data? Imbalanced data refers to a classification problem where the number of observations belonging to one class significantly outnumbers the number of observations belonging to the other classes. This can lead to a classifier that is biased…
Below are the top 10 Python Library to Learn in in 2024 for a Beginner TensorFlow is known for its ability to handle large-scale computations and is particularly useful for machine learning applications. 2. SciPy is a Python library that is used…
Are you looking for specific ways to make $100 a day online? Look no further! This article lists 20 freelancing and crowdsourcing platforms where it is possible to earn a significant amount of money in a single day. Keep in…
The proliferation of data in our modern age has led to a rapid expansion of the field of data mining. In order to keep up with the demands of business research, it is necessary to have a range of effective…
Tips for career in Data Science and how to make money from it Ihave started this year in June after got influence by one of my online course tutor. I started at slow pace but regularly on daily basis almost.…
In Excel, the VLOOKUP function is used to search for a specific value in a table and return a corresponding value from a different column in the same row. In Python, you can achieve similar functionality using a combination of the pandas library and…