Flipboard

JUNE 13, 2025

Here are additional guides from our expansive article library that you may find useful on AI skills. To excel in ML, you must understand its key methodologies: Supervised Learning: Involves training models on labeled datasets for tasks like classification (e.g., Learn about our Disclosure Policy.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Pickl AI

JULY 22, 2025

Powered by transformers and trained on enormous datasets spanning books, articles, websites, and more, LLMs can mimic human communication with subtlety and context. Training on Massive Datasets LLMs are trained using unsupervised or semi-supervised learning on huge text corpora, including books, websites, code, news, and forums.

Data Science 52

Data Science Data Analysis Data Analysis Deep Learning 52

Towards AI

JULY 9, 2025

Pre-training: learning the structure of language Model’s knowledge is shaped through pre-training, where a model learns to predict the next word in a sentence. It consumes hundreds of billions of tokens — books, Wikipedia articles, web pages, forum posts and learns the statistical patterns of language.

Supervised Learning 60

Supervised Learning AI AI Machine Learning 60

Towards AI

APRIL 24, 2025

Thats the motto of Unsupervised Learning a fascinating branch of machine learning where algorithms learn patterns from unlabeled data. 👉 Read this article here. 👉 Read this article… Read the full blog for free on Medium. Not part of the Mediums partner program? No worries! No worries!

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Supervised Learning Clustering Machine Learning Machine Learning 76

Pickl AI

NOVEMBER 4, 2024

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. As the global Python market is projected to reach USD 100.6

Data Science 52

Data Science Python Machine Learning Machine Learning 52

AWS Machine Learning Blog

JULY 11, 2025

This process typically involves training from scratch on diverse datasets, often consisting of hundreds of billions of tokens drawn from books, articles, code repositories, webpages, and other public sources. The key innovation of DPO lies in its formulation of preference learning as a classification problem.

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AWS AI AI Deep Learning 75

IBM Data Science in Practice

MARCH 17, 2025

In this article, we introduce the 2025 CVPR EARTHVISION Data Challenge an initiative by the Horizon Europe Embed2Scale consortium to advance neural compression for Earth Observation data. A CVPR EARTHVISION Data Challenge by Embed2Scale Modern compression methods redefine the way we handle and analyze satellite imagery.

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AI AI Supervised Learning Data Science 130

Flipboard

JUNE 17, 2025

For example, understanding the distinction between supervised learning and unsupervised learning is crucial when tackling tasks like customer segmentation or predictive analytics. Learn about our Disclosure Policy. These principles serve as the building blocks for creating innovative and effective tools.

Machine Learning 73

Machine Learning Machine Learning AI AI 73

Towards AI

MAY 1, 2025

Adventurous_flamingo_86116 recently launched Learn AIs Emotionally Intelligent API, a solution designed to enrich user interactions and experiences. Meme shared by rucha8062 TAI Curated Section Article of the week Deploy an in-house Vision Language Model to parse millions of documents: say goodbye to Gemini and OpenAI.

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Supervised Learning AWS AI AI 46

Flipboard

APRIL 4, 2025

Supervised learning can help tune LLMs by using examples demonstrating some desired behaviors, which is called supervised fine-tuning (SFT). Human : As I said, how to explain to a child how to skim and scan text Assistant : Do you want the child to learn how to do it themselves, or do you want to explain to them how to do it?

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AI AI Algorithm Artificial Intelligence 145

ODSC - Open Data Science

JULY 14, 2025

Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services. Currently, his focus is on Supervised Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval Augmented Generation (RAG).

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

JULY 3, 2025

Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services. Currently, his focus is on Supervised Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval Augmented Generation (RAG).

Machine Learning 52

Machine Learning Machine Learning ML ML 52

How to Learn Machine Learning

MARCH 25, 2025

At the core of machine learning, two primary learning techniques drive these innovations. These are known as supervised learning and unsupervised learning. Supervised learning and unsupervised learning differ in how they process data and extract insights.

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How to Learn Machine Learning

MAY 2, 2025

Best Practices for Azure Machine Learning Projects To get the most out of Azure Machine Learning, consider these best practices: Data Management Use Azure Data Stores : Connect to various data sources including Azure Blob Storage, Azure Data Lake, and Azure SQL Database for efficient data access.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

How to Learn Machine Learning

MAY 14, 2025

Machine Learning Best Practices for Downloaded Videos Once you’ve downloaded your videos using Y2Mate, here are some ML-specific tips: Data Preprocessing : Convert videos to frame sequences for computer vision tasks Augmentation : Generate additional training samples through rotation, cropping, etc.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

MAY 12, 2025

Robots are trained on labeled datasets through supervised learning to recognize patterns and make accurate decisions. Reinforcement learning takes it further by rewarding successful actions, helping robots adapt to real-world uncertainty and continuously refining their behavior in complex, dynamic environments.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Dataconomy

APRIL 25, 2025

In this article, we’ll delve into the deployment process, common challenges, and best practices to help inform and streamline ML deployment efforts. What is machine learning model deployment? Types of learning: Supervised learning: Models learn from labeled datasets to make predictions.

Machine Learning 91

Machine Learning Machine Learning ML ML 91

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This. The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya.

Supervised Learning 393

Supervised Learning Machine Learning Machine Learning Data Science 393

Analytics Vidhya

MAY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article will talk about Logistic Regression, a method for. The post Logistic Regression- Supervised Learning Algorithm for Classification appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. This ground truth data is necessary to train the supervised learning model for a multiclass classification use case.

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insideBIGDATA

JUNE 21, 2023

In this contributed article, Tal Shapira, Ph.D., co-founder and chief scientist at Reco, discusses the need for self-supervised learning to combat the growing attack surface that SaaS-based applications have opened up for organizations.

Supervised Learning 370

Supervised Learning 370

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT. The key […].

Supervised Learning 333

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Analytics Vidhya

SEPTEMBER 7, 2023

Enter the realm of semi-supervised learning—an ingenious approach that harmonizes a small batch of labeled data with a trove of unlabeled data.

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KDnuggets

SEPTEMBER 17, 2023

This article covers a high-level overview of popular supervised learning algorithms and is curated specially for beginners.

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How to Learn Machine Learning

MAY 7, 2025

In the world of AI, you might hear a lot of Machine Learning vs Deep Learning. In this article we will tackle all of these points, so sit back, relax, and enjoy! Introduction to Deep Learning vs Machine Learning To a lot of people, the terms Deep Learning and Machine Learning seem like buzzwords in the AI world.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction This post will discuss 10 Automated Machine Learning (autoML) packages that we can run in Python. If you are tired of running lots of Machine Learning algorithms just to find the best one, this post might be what you are looking for. This […].

Supervised Learning 301

Supervised Learning Machine Learning Machine Learning Data Science 301

Towards AI

FEBRUARY 27, 2025

Read the full article for a curated list of resources! Louis-Franois Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! Our must-read articles 1. DeepSeek in My Engineers Eyes By Kelvin Lu This article discusses the transformative impact of DeepSeek on machine […]

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AI AI Database Supervised Learning 82

Analytics Vidhya

APRIL 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. SUPERVISED LEARNING Before making you understand the broad category of. The post Understanding Supervised and Unsupervised Learning appeared first on Analytics Vidhya.

Supervised Learning 365

Supervised Learning Data Science Analytics Analytics 365

Analytics Vidhya

NOVEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. These algorithms are decision trees and random forests.

Machine Learning 399

Machine Learning Machine Learning Decision Trees Supervised Learning 399

Analytics Vidhya

JULY 15, 2022

This article was published as a part of the Data Science Blogathon.

Supervised Learning 361

Supervised Learning Machine Learning Machine Learning Data Science 361

Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

Supervised Learning 301

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Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Hello there, guys! Today, we’ll look at Polynomial Regression, a fascinating approach in Machine Learning. Good day, everyone!

Supervised Learning 324

Supervised Learning Machine Learning Machine Learning Data Science 324

Analytics Vidhya

MAY 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning algorithms are classified into three types: supervised learning, The post K-Means Clustering Algorithm with R: A Beginner’s Guide. appeared first on Analytics Vidhya.

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Clustering Algorithm Supervised Learning Machine Learning 298

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Machine Learning tasks are mainly divided into three types Supervised Learning — […]. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation.

Data Science 312

Data Science Supervised Learning Machine Learning Machine Learning 312

Analytics Vidhya

JUNE 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Classification problems are often solved using supervised learning algorithms such as Random Forest Classifier, Support Vector Machine, Logistic Regressor (for binary class classification) etc.

Support Vector Machines 297

Support Vector Machines Supervised Learning Data Science Algorithm 297

Analytics Vidhya

AUGUST 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Linear Regression Linear Regression is a supervised learning technique that involves. The post A Walk-through of Regression Analysis Using Artificial Neural Networks in Tensorflow appeared first on Analytics Vidhya.

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Supervised Learning Data Science Analytics Analytics 271

KDnuggets

NOVEMBER 13, 2019

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

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Machine Learning Machine Learning Supervised Learning Clustering 240