Computer Science, ML and Supervised Learning

QR codes in AI and ML: Enhancing predictive analytics for business

Dataconomy

MAY 29, 2023

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. Some of the methods used in ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning.

Predictive Analytics

Predictive Analytics ML ML Analytics

How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. His passion is for solving challenging real-world computer vision problems and exploring new state-of-the-art methods to do so.

Supervised Learning

Supervised Learning AWS Data Scientist ML

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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The NYU Center for Data Science at NeurIPS 2023

NYU Center for Data Science

NOVEMBER 15, 2023

Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L.

Data Science

Data Science Computer Science Computer Science Supervised Learning

Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

AWS Machine Learning Blog

SEPTEMBER 10, 2024

As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML). 2022 ) is a multi-modal ML framework that consists of three sub-network components (see Figure 1 at Chen et al.,

Supervised Learning

Supervised Learning Machine Learning Machine Learning AWS

How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker

AWS Machine Learning Blog

SEPTEMBER 5, 2023

In order to improve our equipment reliability, we partnered with the Amazon Machine Learning Solutions Lab to develop a custom machine learning (ML) model capable of predicting equipment issues prior to failure. We partnered with the AI/ML experts at the Amazon ML Solutions Lab for a 14-week development effort.

AWS

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

JUNE 14, 2023

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. Yi Yang is a Professor with the college of computer science and technology, Zhejiang University.

Supervised Learning

Supervised Learning Artificial Intelligence Artificial Intelligence Machine Learning

AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

APRIL 18, 2023

Artificial intelligence is a branch of computer science that aims to create intelligent machines that can learn from experience and perform tasks that typically require human-like cognitive abilities. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning

AI Drug Discovery: How It’s Changing the Game

Becoming Human

MARCH 16, 2023

Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed. A few AI technologies are empowering drug design.

AI

AI AI Deep Learning Deep Learning

From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Towards AI

APRIL 4, 2024

Machine learning (ML) has proven that it is here with us for the long haul, everyone who had their doubts by calling it a phase should by now realize how wrong they are, ML has being used in various sector’s of society such as medicine, geospatial data, finance, statistics and robotics.

K-nearest Neighbors

K-nearest Neighbors Machine Learning Machine Learning Decision Trees

Improving asset health and grid resilience using machine learning

AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy , a Fortune 150 company headquartered in Charlotte, NC.,

Machine Learning

Machine Learning Machine Learning AWS ML

The building blocks of AI

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence

Artificial Intelligence Natural Language Processing Artificial Intelligence AI

The building blocks of AI

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence

Artificial Intelligence Natural Language Processing Artificial Intelligence AI

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Technology is becoming more embedded in our daily lives by the minute.

Deep Learning

Deep Learning Deep Learning Machine Learning Machine Learning

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Discover Best AI and Machine Learning Courses For Your Career

Pickl AI

JULY 10, 2024

Machine Learning (ML) is a subset of AI that involves using statistical techniques to enable machines to improve their performance on tasks through experience. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data.

Machine Learning

Machine Learning Machine Learning Deep Learning Deep Learning

NLP, Tools and Technologies and Career Opportunities

Women in Big Data

DECEMBER 13, 2023

The goal of the talk was to learn about the basics of NLP (Natural Language Processing), how NLP is done, what is LLM (Large Language Model), Generative AI and how you can drive your career around it. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing

Natural Language Processing Big Data Big Data Computer Science

Gamification in AI?—?How Learning is Just a Game

Applied Data Science

MARCH 11, 2022

Our internal agents are playing games until they learn how to cooperate and trick us into believing we are an individual. Here, we are interested in the formal definition born in economics and used in computer science: In a game, two or more agents, are interacting by performing actions, which give them rewards.

AI

AI AI Data Science Machine Learning

Understanding Everything About UCI Machine Learning Repository!

Pickl AI

DECEMBER 3, 2024

Established in 1987 at the University of California, Irvine, it has become a global go-to resource for ML practitioners and researchers. The global Machine Learning market continues to expand. What is the UCI Machine Learning Repository? It provides diverse datasets for research, education, and real-world applications.

Machine Learning

Machine Learning Machine Learning Clustering Supervised Learning

Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

JULY 12, 2024

Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed. Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Python Natural Language Processing

A journey from hieroglyphs to chatbots: Understanding NLP over Google’s USM updates

Dataconomy

MARCH 14, 2023

This was a significant pledge to construct a machine learning (ML) model that would facilitate the usage of the world’s one thousand most commonly spoken languages, promoting inclusion and accessibility for billions of people worldwide. The Conformer, or convolution-augmented transformer, is used as the encoder in USM.

Natural Language Processing

Natural Language Processing Machine Learning Machine Learning Supervised Learning

Foundation models: a guide

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing

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Create and fine-tune sentence transformers for enhanced classification accuracy

AWS Machine Learning Blog

OCTOBER 30, 2024

It was distilled from a larger teacher model (approximately 5 billion parameters), which was pre-trained on a large amount of unlabeled ASIN data and pre-fine-tuned on a set of Amazon supervised learning tasks (multi-task pre-fine-tuning). Kara is passionate about innovation and continuous learning.

Machine Learning

Machine Learning Machine Learning AWS Data Scientist

The Age of BioInformatics: Part 2

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning

Machine Learning Machine Learning Data Scientist Algorithm

Best Colleges for Data Science Course Online in India

Pickl AI

APRIL 10, 2023

If you are willing to excel in Data Science and are looking for a program that gives you industry exposure and learning, then this PG Program in Data Science and Business Analytics is one of the best data science courses in India. also offers free classes on Machine Learning that cover the core concepts of ML.

Data Science

Data Science Machine Learning Machine Learning Python

Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Data Science Machine Learning

Creating an artificial intelligence 101

Dataconomy

MARCH 13, 2023

There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The quality and quantity of data are crucial for the success of an AI system. Algorithms: AI algorithms are used to process the data and extract insights from it.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm

AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

AWS Machine Learning Blog

AUGUST 7, 2023

AWS ProServe solved this use case through a joint effort between the Generative AI Innovation Center (GAIIC) and the ProServe ML Delivery Team (MLDT). However, LLMs are not a new technology in the ML space. The new ML workflow now starts with a pre-trained model dubbed a foundation model.

AWS

AWS ML ML Data Science

Machine teaching

Dataconomy

MARCH 12, 2025

Machine teaching is redefining how we interact with artificial intelligence (AI) and machine learning (ML). As industries increasingly adopt AI solutions, professionals without a technical background can now step into the realm of machine learning, leveraging powerful algorithms to automate tasks and improve decision-making.

Machine Learning

Machine Learning Machine Learning Algorithm Supervised Learning

Data Science Current

QR codes in AI and ML: Enhancing predictive analytics for business

How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

Webinars

Trending Sources

Five machine learning types to know

Webinars

The NYU Center for Data Science at NeurIPS 2023

Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker

Meet the winners of the Video Similarity Challenge!

AI 101: A beginner’s guide to the basics of artificial intelligence

AI Drug Discovery: How It’s Changing the Game

From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Improving asset health and grid resilience using machine learning

The building blocks of AI

The building blocks of AI

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

Data science vs. machine learning: What’s the difference?

Discover Best AI and Machine Learning Courses For Your Career

NLP, Tools and Technologies and Career Opportunities

Gamification in AI?—?How Learning is Just a Game

Understanding Everything About UCI Machine Learning Repository!

Artificial Intelligence Using Python: A Comprehensive Guide

A journey from hieroglyphs to chatbots: Understanding NLP over Google’s USM updates

Foundation models: a guide

Create and fine-tune sentence transformers for enhanced classification accuracy

The Age of BioInformatics: Part 2

Best Colleges for Data Science Course Online in India

Understanding the Synergy Between Artificial Intelligence & Data Science

Creating an artificial intelligence 101

AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

Machine teaching

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