What is PyTorch_ (Machine_Deep Learning)
https://youtu.be/fJ40w_2h8kk?si=YILy9Od6YICopdFf PyTorch is an open-source framework that simplifies the process of building, training, and deploying machine learning and deep learning models. The "...
27 Dec 202420min
What is Back Propagation
Back propagation is an algorithm that modifies the weights and biases of a neural network to reduce error and improve accuracy. The goal of back propagation is to minimize the difference between the n...
24 Dec 202414min
Large Language Models Are Zero Shot Reasoners
Zero-shot prompting asks a question without giving the LLM any other information. It can be unreliable because a word might have multiple meanings. For example, if you ask an LLM to "explain the diffe...
20 Dec 202414min
Supervised vs. Unsupervised Learning
Supervised learning uses labeled data, like a student learning with a teacher. Unsupervised learning uses unlabeled data and is more like self-study. Supervised learning knows the right answers in a...
17 Dec 202418min
Use AI-Powered Automation to Accelerate Auto Claims Processing
Insurance companies can reduce the stress of car accidents for their customers by using AI to streamline the claims process. Using AI, an insurance company can set up an automated claims processing wo...
13 Dec 20244min
What is an RBM?
A Restricted Boltzmann Machine (RBM) is a probabilistic graphical model used for unsupervised learning. RBMs help discover hidden structures in data, making them suitable for applications like video r...
10 Dec 202412min
What is a Knowledge Graph?
Knowledge graphs are a powerful tool for organizing and understanding information. They consist of nodes, which represent entities such as people, places, or things, and edges, which represent relatio...
6 Dec 202413min
What is Random Forest?
Random Forest is a machine learning model used for making predictions. It uses a collection of decision trees, each trained on a random subset of data, to enhance prediction accuracy. Decision trees a...
3 Dec 202420min
