article thumbnail

Here are the Applications of NLP in Finance. You Need to Know

Becoming Human

Use Cases of NLP Data Labeling in Finance Labeled data is used to train machine learning models, creating a better scope for supervised learning. Using this data, financial analysts and organizations can make informed decisions. As we get better data usability with NLP labeling, the number of applications increases.

article thumbnail

Demystifying Logistic Regression: A Simple Guide

Becoming Human

Logistic regression is a type of supervised learning algorithm. My research focuses on developing robust deep learning models for solving computer vision problems. In this blog, we will break down the concept of logistic regression and explain it as simply as possible. What is Logistic Regression?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Rise of ChatGPT: A New Era of Artificial Intelligence

Becoming Human

ChatGPT was trained using a process called unsupervised learning, which means that it was not given specific instructions on how to interpret the data. Instead, the model was left to find its own patterns and relationships within the data, using a process known as self-supervised learning.

article thumbnail

How to Connect Text and Images

Becoming Human

In this series, we will learn how to connect images and texts using a zero-shot classifier with hands-on examples. Here is part 2-Understanding zero-shot learning with clip model.

article thumbnail

AI Drug Discovery: How It’s Changing the Game

Becoming Human

Unlike supervised and semi-supervised learning algorithms that can identify patterns only in structured data, DL models are capable of processing vast volumes of unstructured data and make more advanced predictions with little supervision from humans. Originally published at [link] on January 27, 2023.

AI 139
article thumbnail

Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value.

article thumbnail

Interactive Fleet Learning

BAIR

The use of human teleoperation as a fallback mechanism is increasingly popular in modern robotics companies: Waymo calls it “fleet response,” Zoox calls it “TeleGuidance,” and Amazon calls it “continual learning.”