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. Training: The overall process where a model learns from data.

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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

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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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

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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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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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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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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Mlearning.ai

DECEMBER 13, 2023

Mastering Deep Learning and AI Interview Questions: What You Need to Know Image created by the author on Canva Knowledge is power, but enthusiasm pulls the switch.” Ever wondered what it takes to excel in deep learning interviews? Explain how you would implement transfer learning in a deep learning model.

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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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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

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

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Techniques such as Machine Learning and Deep Learning enable better variant interpretation, disease prediction, and personalised medicine.

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Pickl AI

SEPTEMBER 10, 2024

Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. Introduction The Perceptron is one of the foundational concepts in Artificial Intelligence and Machine 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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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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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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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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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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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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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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Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Artificial Intelligence (AI) ersetzt. GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning.

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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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ODSC - Open Data Science

JULY 26, 2023

Machine learning is a subfield of artificial intelligence (AI) that enables computers to learn and make decisions or predictions without explicit programming. There are three main types of machine learning : supervised learning, unsupervised learning, and reinforcement learning.

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Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

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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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Pickl AI

OCTOBER 10, 2024

Introduction Artificial Intelligence (AI) has rapidly evolved, transforming various industries through innovative models that enhance decision-making, automate processes, and generate insights. 5 AI Models That You Should Know Artificial Intelligence (AI) is revolutionizing various industries with its diverse models.

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How to Learn Machine Learning

MAY 14, 2023

Acquiring Essential Machine Learning Knowledge Once you have a strong foundation in mathematics and programming, it’s time to dive into the world of machine learning. Additionally, you should familiarize yourself with essential machine learning concepts such as feature engineering, model evaluation, and hyperparameter tuning.

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Pickl AI

MAY 29, 2024

Multi-Task Learning Deep Learning is a towering pillar in the vast landscape of artificial intelligence, revolutionising various domains with remarkable capabilities. Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing.

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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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ODSC - Open Data Science

AUGUST 10, 2023

In the rapidly evolving field of artificial intelligence, agents that can effectively interact with humans and navigate the complexities of the real world are highly sought after. Current agent models often learn to follow simple language instructions for specific tasks , driven by rewards. Save your seat and register today.

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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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Pickl AI

NOVEMBER 18, 2024

Ethical considerations are crucial in developing fair Machine Learning solutions. Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed.

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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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Pickl AI

MARCH 6, 2024

In this guide, we’ll explore a variety of Machine Learning interview questions, providing detailed answers and insights to help you succeed in your next interview. ML interview questions for freshers Machine Learning engineering interview questions for freshers 1. What is Machine Learning?

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Dataconomy

SEPTEMBER 13, 2023

In the context of artificial intelligence, diffusion models leverage this idea to generate new data samples that resemble existing data. The power of diffusion models lies in their ability to harness the natural process of diffusion to revolutionize various aspects of artificial intelligence.

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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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