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.

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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

NOVEMBER 1, 2018

Supervised learning — the most developed form of Machine. The post Machine Learning with a twist: How trivial labels can be used to predict policy changes appeared first on Dataconomy. The research design of this “crystal ball” can also be applied to tackling a variety of other problems.

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Data Science Dojo

MAY 27, 2024

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. This approach involves techniques where the machine learns from massive amounts of data.

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Data Science Dojo

APRIL 29, 2024

This isn’t the plot of a sci-fi novel but the reality of generative artificial intelligence (AI). Generative AI refers to a branch of artificial intelligence that focuses on creating new content—be it text, images, audio, or synthetic data. But what exactly is this technology, and how is it being applied today?

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Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

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Analytics Vidhya

APRIL 19, 2023

Meta AI has announced the launch of DinoV2, an open-source, self-supervised learning model. It is a vision transformer model for computer vision tasks, built upon the success of its predecessor, DINO. Also Read: Microsoft […] The post DinoV2: Most Advanced Self-Taught Vision Model by Meta appeared first on Analytics Vidhya.

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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.

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Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. But amidst all the hype, it’s worth asking ourselves: do we really understand the basics of artificial intelligence? What is artificial intelligence?

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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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Dataconomy

MAY 29, 2023

This article examines the important connection between QR codes and the domains of artificial intelligence (AI) and machine learning (ML), as well as how it affects the development of predictive analytics. So let’s start with the understanding of QR Codes, Artificial intelligence, and Machine Learning.

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Data Science Dojo

DECEMBER 8, 2023

Counting Shots, Making Strides: Zero, One and Few-Shot Learning Unleashed In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

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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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Dataconomy

SEPTEMBER 13, 2023

These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. As businesses gather increasingly deep insights into their customers, artificial intelligence (AI) emerges as a powerful ally to turn this data into actionable strategies.

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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? temperature, salary).

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Smart Data Collective

SEPTEMBER 24, 2019

Artificial intelligence has been the basis of robotics for several decades. They couldn’t adapt, unless the programmers developed more sophisticated artificial intelligence programs to manage them. They couldn’t adapt, unless the programmers developed more sophisticated artificial intelligence programs to manage them.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless.

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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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Data Science Dojo

JANUARY 30, 2025

Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Knowledge Distillation is a machine learning technique where a teacher model (a large, complex model) transfers its knowledge to a student model (a smaller, efficient model).

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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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Flipboard

FEBRUARY 22, 2023

One rarely gets to engage in a conversation with an individual like Andrew Ng, who has left an indelible impact as an educator, researcher, innovator and leader in the artificial intelligence and technology realms. Fortunately, I recently had the privilege of doing so. Our article detailing the …

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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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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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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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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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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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Becoming Human

MAY 11, 2023

Artificial intelligence (AI) has come a long way in recent years, and one of the most exciting developments in this field is the rise of language models like ChatGPT. Machine Learning and Deep Learning One of the key components of the development of ChatGPT is machine learning.

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Data Science Dojo

AUGUST 19, 2024

They dive deep into artificial neural networks, algorithms, and data structures, creating groundbreaking solutions for complex issues. These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential.

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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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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? Artificial intelligence is the overarching system.

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Pickl AI

NOVEMBER 13, 2024

Summary: Machine Learning is categorised into four main types: supervised, unsupervised, semi-supervised, and Reinforcement Learning. Introduction Machine Learning is revolutionising industries by enabling machines to learn from data and make decisions without explicit programming.

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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog covers 15 crucial artificial intelligence interview questions, ranging from fundamental concepts to advanced techniques. Introduction Artificial Intelligence (AI) has become an increasingly important field in recent years, with a growing demand for skilled professionals who can navigate its complexities.

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NYU Center for Data Science

MAY 31, 2023

Jacopo Cirrone Medical image analysis has significantly benefited in recent years from machine learning-based modeling tools. CDS Assistant Professor/Faculty Fellow Jacopo Cirrone works at the intersection of machine learning and healthcare, recently publishing two papers that expand deep learning research within these fields.

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Towards AI

AUGUST 29, 2023

Image by Ricardo Gomez Angel on Unsplash In most of my previous articles, I have mostly discussed Supervised Learning, with some sprinkling of elements of Unsupervised Learning. Let’s first start with a broad overview of Machine Learning. Here are the… Read the full blog for free on Medium.

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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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Google Research AI blog

APRIL 26, 2023

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow , single-task systems that require large quantities of labeled data to train.

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Towards AI

FEBRUARY 13, 2024

Louis-François Bouchard in What is Artificial Intelligence Introduction to self-supervised learning·4 min read·May 27, 2020 80 … Read the full blog for free on Medium. Author(s): Louis-François Bouchard Originally published on Towards AI. Join thousands of data leaders on the AI newsletter.

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