Analytics Vidhya

SEPTEMBER 27, 2023

Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses.

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Dataconomy

MAY 22, 2023

But what exactly is distributed learning in machine learning? In this article, we will explore the concept of distributed learning and its significance in the realm of machine learning. Why is it so important? This process is often referred to as training or model optimization.

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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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Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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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?

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Dataconomy

MARCH 27, 2023

Robotic process automation vs machine learning is a common debate in the world of automation and artificial intelligence. However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. What is machine learning (ML)?

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Pickl AI

OCTOBER 9, 2023

However, with the emergence of Machine Learning algorithms, the retail industry has seen a revolutionary shift in demand forecasting capabilities. This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming.

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Dataconomy

SEPTEMBER 13, 2023

These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. According to Gartner, a renowned research firm, by 2022, an astounding 70% of customer interactions are expected to flow through technologies like machine learning applications, chatbots, and mobile messaging.

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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. Finally, there is no labeled data available for training a supervised machine learning model.

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KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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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. Instead, it learns by finding patterns and structures in the input data.

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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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Mlearning.ai

OCTOBER 2, 2023

We’ll talk about supervised and unsupervised feature selection techniques. Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting. The two main categories of feature selection are supervised and unsupervised machine learning techniques. Here’s the overview.

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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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Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

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Google Research AI blog

APRIL 26, 2023

This problem of data-efficient generalization (a model’s ability to generalize to new settings using minimal new data) continues to be a key translational challenge for medical machine learning (ML) models and has in turn, prevented their broad uptake in real world healthcare settings.

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Google Research AI blog

FEBRUARY 8, 2023

This post covers two of our recent papers on AD, published in Transactions on Machine Learning Research (TMLR), that address the above challenges in unsupervised and semi-supervised settings. SPADE: Semi-supervised Pseudo-labeler Anomaly Detection with Ensembling Most semi-supervised learning methods (e.g.,

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Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. billion in 2022 and is expected to grow to USD 505.42

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Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. Please tell our readers about your background and how you got into Data Science and Machine Learning? The transition to Machine Learning felt natural given my mathematical background.

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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.,

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Pickl AI

DECEMBER 3, 2024

Summary: The UCI Machine Learning Repository, established in 1987, is a crucial resource for Machine Learning practitioners. It supports various learning tasks, including classification and regression, and is organised by type and domain, facilitating easy access for users worldwide.

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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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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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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Everybody knows you need to clean your data to get good ML performance. A common gripe I hear is: “Garbage in, garbage out.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance. What is Machine Learning?

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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Dataconomy

MARCH 27, 2023

Robotic process automation vs machine learning is a common debate in the world of automation and artificial intelligence. However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. What is machine learning (ML)?

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Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

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Pickl AI

MARCH 6, 2024

Summary: Machine Learning interview questions cover a wide range of topics essential for candidates aiming to secure roles in Data Science and Machine Learning. Employers seek candidates who can demonstrate their understanding of key machine learning algorithms. What is Machine Learning?

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Mlearning.ai

JUNE 20, 2023

“Self-Supervised methods […] are going to be the main method to train neural nets before we train them for difficult tasks” —  Yann LeCun Well! Let’s have a look at this Self-Supervised Learning! Let’s have a look at Self-Supervised Learning. That is why it is called Self -Supervised Learning.

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Towards AI

SEPTEMBER 3, 2024

Let’s discuss two popular ML algorithms, KNNs and K-Means. They are both ML Algorithms, and we’ll explore them more in detail in a bit. They are both ML Algorithms, and we’ll explore them more in detail in a bit. K-Nearest Neighbors (KNN) is a supervised ML algorithm for classification and regression.

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Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. Introduction Machine Learning (ML) has rapidly evolved over the past few years, becoming an integral part of various industries, from healthcare to finance.

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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. How is it actually looks in a real life process of ML investigation?

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Dataversity

JANUARY 22, 2024

The concept of application mapping is not new, but its […] The post Machine Learning Techniques for Application Mapping appeared first on DATAVERSITY. It provides a detailed view of how different applications interact, depend on each other, and contribute to the business processes.

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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.

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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?

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Mlearning.ai

APRIL 18, 2023

Understanding the DINOv2 Model, its Advantages, and its Applications in Computer Vision Introduction : Meta AI, has recently open-sourced DINOv2, a self-supervised learning method for training computer vision models. In this article, we will discuss what DINOv2 is, its advantages, applications, and conclusions. What is DINOv2?

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