Data Science Dojo

DECEMBER 28, 2023

That world is not science fiction—it’s the reality of machine learning (ML). Interested in learning machine learning? Learn about the machine learing roadmap Ready to dive in? Formatting the data in a way that ML algorithms can understand. Trying different algorithms.

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Machine Learning Machine Learning ML ML 195

Analytics Vidhya

MAY 15, 2021

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

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Machine Learning Machine Learning Algorithm Data Science 214

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 224

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

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Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 93

Towards AI

JANUARY 11, 2024

Arguably, one of the most important concepts in machine learning is classification. This article will illustrate the difference between classification and regression in machine learning. In contrast, Unsupervised Learning occurs when we lack prior knowledge of the target variable.

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Machine Learning Machine Learning Decision Trees Clustering 126

Towards AI

MAY 1, 2024

Created by the author with DALL E-3 R has become very ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has simplified the most complex task of geospatial machine learning. Advantages of Using R for Machine Learning 1.

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Data Science Dojo

JUNE 1, 2023

Machine learning courses are not just a buzzword anymore; they are reshaping the careers of many people who want their breakthrough in tech. From revolutionizing healthcare and finance to propelling us towards autonomous systems and intelligent robots, the transformative impact of machine learning knows no bounds.

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Machine Learning Machine Learning Natural Language Processing Deep Learning 195

Pickl AI

APRIL 3, 2023

Machine Learning is a crucial part of today’s business world, where technological integration plays a vital role in performing different business functions. Accordingly, Machine Learning allows computers to learn and act like humans by providing data. What is Supervised Learning?

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Dataconomy

MAY 4, 2023

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. In this rapidly evolving field, machine learning is poised to drive significant advancements in healthcare, improving patient outcomes and enhancing the overall healthcare experience.

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KDnuggets

MARCH 21, 2022

Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.

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Supervised Learning Machine Learning Machine Learning Algorithm 364

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.

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Decision Trees Supervised Learning Data Scientist Machine Learning 296

KDnuggets

JULY 20, 2022

14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet. (..)

Data Science 358

Data Science Supervised Learning Data Preparation Data Scientist 358

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. However, unlike supervised learning, where labels help identify relevant information, the optimal SSL representation heavily depends on assumptions made about the input data and desired downstream task.

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Supervised Learning Deep Learning Deep Learning Algorithm 98

Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

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Machine Learning Machine Learning ML ML 91

Towards AI

APRIL 8, 2024

The field attracts avid learners, with companies using machine learning to make their tasks easier. With the use of machine learning, people find out about the 2 main types of machine learning: Supervised and Unsupervised learning. Supervised Learning First, what exactly is supervised learning?

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Supervised Learning Machine Learning Machine Learning Clustering 100

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 70

Pickl AI

JUNE 2, 2023

One of the most popular algorithms in Machine Learning are the Decision Trees that are useful in regression and classification tasks. Decision trees are easy to understand, and implement therefore, making them ideal for beginners who want to explore the field of Machine Learning. How Decision Tree Algorithm works?

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ODSC - Open Data Science

JULY 26, 2023

As a senior data scientist, I often encounter aspiring data scientists eager to learn about machine learning (ML). In this comprehensive guide, I will demystify machine learning, breaking it down into digestible concepts for beginners. What is Machine Learning? predicting house prices).

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Machine Learning Machine Learning ML ML 52

Machine Learning Research at Apple

DECEMBER 17, 2023

This paper was accepted at the workshop Self-Supervised Learning - Theory and Practice at NeurIPS 2023. We propose Bootstrap Your Own Variance (BYOV), combining Bootstrap Your Own Latent (BYOL), a negative-free Self-Supervised Learning (SSL) algorithm, with Bayes by Backprop (BBB), a Bayesian method for estimating model posteriors.

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Pickl AI

AUGUST 1, 2023

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines Decision Trees 52

Dataconomy

NOVEMBER 1, 2018

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. Supervised learning — the most developed form of Machine. The research design of this “crystal ball” can also be applied to tackling a variety of other problems.

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Machine Learning Machine Learning Supervised Learning Algorithm 179

Dataconomy

MARCH 3, 2023

It’s really important to explore the potential of machine learning in asset pricing. In recent years, machine learning has emerged as a promising tool for improving asset pricing models in finance. As a result, financial analysts have turned to machine learning as a promising tool for improving asset pricing models.

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Machine Learning Machine Learning Algorithm Supervised Learning 70

Mlearning.ai

OCTOBER 2, 2023

Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting. Photo by Arseny Togulev on Unsplash If you’re working with a dataset and trying to build a machine learning model, you probably don’t need all the data and columns that feed into your model. Here’s the overview.

Machine Learning 98

Machine Learning Machine Learning Supervised Learning Algorithm 98

Pickl AI

AUGUST 6, 2023

Machine Learning has become a fundamental part of people’s lives and it typically holds two segments. It includes supervised and unsupervised learning. Supervised Learning deals with labels data and unsupervised learning deals with unlabelled data. What is Regression in ML?

Machine Learning 52

Machine Learning Machine Learning Decision Trees Supervised Learning 52

ODSC - Open Data Science

FEBRUARY 10, 2023

8 Potential Technosignatures Found Beyond Our Solar System Thanks to Machine Learning With the aid of machine learning, 8 potential technosignatures have been found around five nearby stars. The team found the new algorithm excelled by organizing the data from telescopes into categories.

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Machine Learning Machine Learning Algorithm Supervised Learning 98

Mlearning.ai

FEBRUARY 17, 2023

A complete explanation of the most widely practical and efficient field, that nowadays has an impact on every industry Photo by Thomas T on Unsplash Machine learning has become one of the most rapidly evolving and popular fields of technology in recent years. In this article, I will cover all of them. It’s a fantastic world, trust me!

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Machine Learning Machine Learning K-nearest Neighbors Clustering 52

Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning?

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Deep Learning Deep Learning Machine Learning Machine Learning 52

PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

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Machine Learning Machine Learning Deep Learning Deep Learning 56

How to Learn Machine Learning

MAY 14, 2023

Embarking on a career as a Machine Learning Engineer has become increasingly popular in recent years. This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. The Machine Learning Engineer Career Path 1.

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Machine Learning Machine Learning Natural Language Processing Deep Learning 52

Hacker News

FEBRUARY 8, 2024

The recent breakthrough successes in machine learning are mainly attributed to scale: namely large-scale attention-based architectures and datasets of unprecedented scale. This paper investigates the impact of training at scale for chess. turbo-instruct.

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Supervised Learning Machine Learning Machine Learning Algorithm 140

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. […].

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Algorithm Data Science Analytics Analytics 244

Dataconomy

AUGUST 28, 2023

The concept of a kernel in machine learning might initially sound perplexing, but it’s a fundamental idea that underlies many powerful algorithms. Kernels in machine learning serve as a bridge between linear and nonlinear transformations. So how can you use kernel in machine learning for your own algorithm?

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Machine Learning Machine Learning Algorithm Support Vector Machines 172

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Machine Learning Machine Learning Data Science Big Data 58

Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,” writes author Euan Wielewski.

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Machine Learning Machine Learning Supervised Learning Support Vector Machines 78

Pickl AI

JULY 31, 2023

Machine Learning has revolutionized various industries, from healthcare to finance, with its ability to uncover valuable insights from data. Among the different learning paradigms in Machine Learnin g, “Eager Learning” and “Lazy Learning” are two prominent approaches.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Dataconomy

APRIL 18, 2023

The basics of artificial intelligence include understanding the various subfields of AI, such as machine learning, natural language processing, computer vision, and robotics. Additionally, it is crucial to comprehend the fundamental concepts that underlie AI, including neural networks, algorithms, and data structures.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Towards AI

JULY 22, 2023

This is similar to how machine learning (ML) can seem at first. In today’s post, we’re going to decode ten of the most common machine learning terms. This is precisely the process we emulate in cloud-based Machine Learning. They guide you, correct you, and provide feedback, helping you learn and improve.

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