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. Generative AI often operates in unsupervised or semi-supervised learning settings, generating new data points based on patterns learned from existing data.

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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. That is, is giving supervision to adjust via.

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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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Dataconomy

MARCH 5, 2025

DeepMind is at the forefront of artificial intelligence research, merging cutting-edge technology with innovative applications. is dedicated to creating systems that can learn and adapt, a fundamental step toward achieving General-Purpose Artificial Intelligence (AGI). This ambitious division of Alphabet, Inc.

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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. 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. What is Machine Learning? What is Deep Learning?

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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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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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Dataconomy

FEBRUARY 26, 2025

This capability bridges various disciplines, leveraging techniques from statistics, machine learning, and artificial intelligence. Artificial intelligence (AI): It enables machines to learn from data, improving decision-making and automation.

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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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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. Artificial intelligence is the overarching system. What is machine learning?

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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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Towards AI

SEPTEMBER 7, 2023

An analogy to explain how deep learning works… This member-only story is on us. link] When we talk about artificial intelligence, or AI, we tend to mean deep learning. Although useful and increasingly powerful, is this intelligence? Upgrade to access all of Medium.

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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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Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two. What is Machine Learning? What is Deep Learning?

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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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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Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. It is a branch of artificial intelligence. Whereas in machine learning, the algorithm understands the data and creates the logic. Machine learning is broadly classified into three types – Supervised.

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Dataconomy

MARCH 28, 2025

Large language models (LLMs) are shaping the landscape of artificial intelligence, providing a bridge between human communication and machine understanding. LLMs are advanced AI systems that leverage machine learning to understand and generate natural language.

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Pickl AI

OCTOBER 20, 2024

Summary: Learning Artificial Intelligence involves mastering Python programming, understanding Machine Learning principles, and engaging in practical projects. Introduction Artificial Intelligence (AI) is transforming industries worldwide, with applications in healthcare, finance, and technology.

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NYU Center for Data Science

MAY 31, 2023

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. To learn more about data science’s future in medical imaging and healthcare, CDS spoke with Jacopo.

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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 Deep Learning?

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Data Science Dojo

JULY 2, 2024

It is a step ahead within the realm of artificial intelligence (AI). Since adaptive AI has emerged as a new and advanced branch of artificial intelligence, it is important to understand the basic qualities that make it stand out. It has led to enhanced use of AI in various real-world applications.

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Dataconomy

MAY 22, 2023

By dividing the workload and data across multiple nodes, distributed learning enables parallel processing, leading to faster and more efficient training of machine learning models. There are various types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.

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Flipboard

MARCH 13, 2023

“I’m quite hopeful that by simply improving this subsequent reinforcement learning from human feedback step, we can teach it to not hallucinate,” said Sutskever, suggesting that the ChatGPT limitations we see today will dwindle as the model improves. Most of what we learn has nothing to do with language.” “We

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Becoming Human

MARCH 16, 2023

How AI is applied Artificial Intelligence covers various technologies and approaches that involve using sophisticated computational methods to mimic elements of human intelligence such as visual perception, speech recognition, decision-making, and language understanding. A few AI technologies are empowering drug design.

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Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. But does that mean artificial intelligence is perfect? The next critical step is model selection.

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Pickl AI

NOVEMBER 28, 2024

Summary: Generative Adversarial Network (GANs) in Deep Learning generate realistic synthetic data through a competitive framework between two networks: the Generator and the Discriminator. In answering the question, “What is a Generative Adversarial Network (GAN) in Deep Learning?”

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Mlearning.ai

JULY 11, 2023

Deep learning has transformed artificial intelligence, allowing machines to learn and make smart decisions. If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills.

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IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks.

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Towards AI

AUGUST 29, 2023

Introducing the backbone of Reinforcement Learning — The Markov Decision Process This member-only story is on us. 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.

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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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Data Science Dojo

SEPTEMBER 11, 2023

And language models as we talk about, lie at the center of NLP, they are the heart of NLP and are designed to predict the likelihood of a word or a phrase given the context of a sentence or a series of words. First Generation: Early language models used simple statistical techniques like n-grams to predict words based on the previous ones.

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Becoming Human

MARCH 16, 2023

In this series, we will learn how to connect images and texts using a zero-shot classifier with hands-on examples. Here is part 2-Understanding zero-shot learning with clip model. How does Zero-Shot Learning work? Unseen Classes: These are the data classes on which the existing deep model needs to generalize.

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DrivenData Labs

JUNE 14, 2023

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. His research interest is deep metric learning and computer vision. We first train a base model.

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Data Science Dojo

JUNE 11, 2024

Deep Neural Networks This category of neural networks is defined by several layers of neurons between the input and output layers. This depth of architecture enables them to model complex patterns and relationships within large sets of data, making them highly effective for a wide range of artificial intelligence tasks.

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