KDnuggets

JUNE 22, 2022

Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools.

Supervised Learning 269

Supervised Learning Machine Learning Machine Learning Power BI 269

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 367

Supervised Learning Data Science Analytics Analytics 367

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

Towards AI

JANUARY 29, 2025

Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? One day, its all about supervised learning and the next, people are throwing around terms like self-supervised learning as if its the holy grail of AI. So, what exactly is self-supervised learning?

Supervised Learning 92

Supervised Learning Machine Learning Machine Learning AI 92

Analytics Vidhya

JULY 15, 2022

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

Supervised Learning 363

Supervised Learning Machine Learning Machine Learning Data Science 363

KDnuggets

JUNE 20, 2022

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning.

Decision Trees 323

Decision Trees Supervised Learning Data Scientist Machine Learning 323

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 306

Supervised Learning Data Science Analytics Analytics 306

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 329

Supervised Learning Machine Learning Machine Learning Data Science 329

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.

Clustering 303

Clustering Algorithm Supervised Learning Machine Learning 303

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.

Supervised Learning 271

Supervised Learning Data Science Analytics Analytics 271

Towards AI

FEBRUARY 26, 2025

Have you ever looked at AI models and thought, How the heck does this thing actually learn? Supervised learning, a cornerstone of machine learning, often seems like magic like feeding a computer some data and watching it miraculously predict things. This member-only story is on us. Upgrade to access all of Medium.

Supervised Learning 74

Supervised Learning Machine Learning Machine Learning AI 74

Analytics Vidhya

JUNE 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Speech Recognition is a supervised learning task. In the speech. The post MFCC Technique for Speech Recognition appeared first on Analytics Vidhya.

Supervised Learning 223

Supervised Learning Data Science Analytics Analytics 223

Analytics Vidhya

JUNE 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Regression is a supervised learning technique that supports finding the. The post Linear Regression in machine learning appeared first on Analytics Vidhya.

Machine Learning 214

Machine Learning Machine Learning Supervised Learning Data Science 214

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Data Science Dojo

DECEMBER 8, 2023

Zero-shot, one-shot, and few-shot learning are redefining how machines adapt and learn, promising a future where adaptability and generalization reach unprecedented levels. Source: Photo by Hal Gatewood on Unsplash In this exploration, we navigate from the basics of supervised learning to the forefront of adaptive models.

Supervised Learning 400

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 400

NYU Center for Data Science

NOVEMBER 3, 2023

Self-supervised learning (SSL) has emerged as a powerful technique for training deep neural networks without extensive labeled data. Rudner, among others, and “ To Compress or Not to Compress — Self-Supervised Learning and Information Theory: A Review.”

Supervised Learning 98

Supervised Learning Deep Learning Deep Learning Algorithm 98

NYU Center for Data Science

JULY 5, 2024

Our study demonstrates that machine supervision significantly improves two crucial medical imaging tasks: classification and segmentation,” said Cirrone, who leads AI efforts at the Colton Center for Autoimmunity at NYU Langone. “The

Supervised Learning 96

Supervised Learning Deep Learning Deep Learning Algorithm 96

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Types of Machine Learning Algorithms 3. Machine Learning […]. Table of Contents 1. Introduction 2. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7.

Machine Learning 382

Machine Learning Machine Learning Algorithm Decision Trees 382

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This capability makes it well-suited for scenarios where labeled data is scarce or unavailable.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […]. Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation.

Deep Learning 357

Deep Learning Deep Learning Data Science Analytics 357

Data Science Dojo

JANUARY 30, 2025

Here’s a list of 9 key probability distributions in data science Instead of only learning from the label “Cat,” the student also learns the relationships between different categories. Now, it is time to train the teacher model on the dataset using standard supervised learning.

AI 195

AI AI Natural Language Processing Python 195

Analytics Vidhya

JULY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective The main objective of this article is to understand what. The post Parkinson disease onset detection Using Machine Learning! appeared first on Analytics Vidhya.

Machine Learning 319

Machine Learning Machine Learning Data Science Analytics 319

Data Science Dojo

MAY 10, 2024

Unsupervised vs. supervised learning for embeddings While vector representation and contextual inference remain important factors in the evolution of LLM embeddings, the lens of comparative analysis also highlights another aspect for discussion. It involves the different approaches to train embeddings.

Supervised Learning 259

Supervised Learning Clustering ML ML 259

Analytics Vidhya

SEPTEMBER 20, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to discuss the math intuition behind the Gradient boosting algorithm. It is more popularly known as Gradient boosting Machine or GBM. It is a boosting method and I have talked more about boosting in this article. […].

Algorithm 332

Algorithm Data Science Analytics Analytics 332

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain deep learning and some supervised. The post Introduction to Supervised Deep Learning Algorithms! appeared first on Analytics Vidhya.

Deep Learning 290

Deep Learning Deep Learning Algorithm Data Science 290

NYU Center for Data Science

NOVEMBER 15, 2023

Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, *Omar Mahmood (PhD alumnus), Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi “A Logic for Expressing Log-Precision Transformers” : *William Merrill (PhD student), Ashish Sabharwal “A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks” : Vignesh Kothapalli, Tom (..)

Data Science 97

Data Science Computer Science Computer Science Supervised Learning 97

NYU Center for Data Science

SEPTEMBER 13, 2024

The world of multi-view self-supervised learning (SSL) can be loosely grouped into four families of methods: contrastive learning, clustering, distillation/momentum, and redundancy reduction.

Supervised Learning 75

Supervised Learning Machine Learning Machine Learning Clustering 75

Analytics Vidhya

MAY 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post K-Nearest Neighbour: The Distance-Based Machine Learning Algorithm. Introduction The abbreviation KNN stands for “K-Nearest Neighbour” It is. appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Machine Learning Algorithm Data Science 307

IBM Data Science in Practice

MARCH 17, 2025

Participants are tasked with designing an encoder that transforms high-dimensional satellite image data cubes into compact, fixed-size embeddings. The SSL4EO-S12 dataset combines radar and multispectral image bands from four-season snapshots, illustrating the multi-temporal and multi-modal character of EO data.

AI 130

AI AI Supervised Learning Data Science 130

Data Science Dojo

APRIL 29, 2024

Training: This involves teaching AI models to understand and create data outputs. Supervised Learning: The AI learns from a dataset that has predefined labels. Unsupervised Learning: The AI identifies patterns and relationships in data without pre-set labels.

AI 480

AI AI Deep Learning Deep Learning 480

Pickl AI

APRIL 3, 2023

Therefore, Supervised Learning vs Unsupervised Learning is part of Machine Learning. Let’s learn more about supervised and Unsupervised Learning and evaluate their differences. What is Supervised Learning? What is Unsupervised Learning?

Supervised Learning 52

Supervised Learning Machine Learning Machine Learning Clustering 52

Data Science Dojo

FEBRUARY 15, 2023

Image Credit: Pinterest – Problem solving tools In last week’s post , DS-Dojo introduced our readers to this blog-series’ three focus areas, namely: 1) software development, 2) project-management, and 3) data science. This week, we continue that metaphorical (learning) journey with a fun fact. Better yet, a riddle.

K-nearest Neighbors 195

K-nearest Neighbors Decision Trees Support Vector Machines Data Science 195

Data Science Dojo

AUGUST 19, 2024

Industry Adoption: Widespread Implementation: AI and data science are being adopted across various industries, including healthcare, finance, retail, and manufacturing, driving increased demand for skilled professionals. The model learns to map input features to output labels.

AI 305

AI AI Machine Learning Machine Learning 305

Data Science Connect

SEPTEMBER 18, 2018

If data science is the new frontier for businesses, text analytics is certainly the ‘Wild West’. At the upcoming Data Science ATL conference, Sutherland will be talking about the foundations of supervised learning and will dive into how you can make descriptive inferences from text.

Analytics 130

Analytics Analytics Data Science Supervised Learning 130