Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Having mastery of these two will prove that you know data science and in turn, NLP.

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Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. It is important to note that Machine Learning has several subsets including neural networks, deep learning, and reinforcement learning. What is Deep Learning?

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DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment.

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NYU Center for Data Science

JULY 18, 2023

MaD & MaD+ The Math and Data (MaD) group is a collaboration between CDS and the NYU Courant Institute of Mathematical Sciences. Their work specializes in signal processing and inverse problems, machine learning and deep learning, and high-dimensional statistics and probability.

Data Science 86

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How to Learn Machine Learning

MAY 14, 2023

When selecting projects, consider tackling problems in different domains, such as natural language processing, computer vision, or recommendation systems. In addition to deep learning, it’s beneficial to specialize in a specific area or technique within machine learning.

Machine Learning 52

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Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. Natural language processing involves the application of artificial intelligence to comprehend and respond to human language.

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Dataconomy

MAY 29, 2023

With advancements in artificial intelligence (AI) and machine learning (ML), QR codes are now being integrated into predictive analytics, allowing businesses to extract valuable insights from the data encoded within the codes. These algorithms allow AI systems to recognize patterns, forecast outcomes, and adjust to new situations.

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Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Back to basics: What is Generative AI?

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Dataconomy

APRIL 12, 2023

By incorporating insights from cognitive science, AI is becoming more advanced and capable, with the potential to transform many aspects of our lives. Artificial intelligence, or AI, is a field of computer science and engineering that focuses on creating machines and systems that can perform tasks that typically require human intelligence.

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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. Deep learning Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems.

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Cho’s work on building attention mechanisms within deep learning models has been seminal in the field.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately? But exactly what is NLP , and how can it facilitate legal discovery?

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ODSC - Open Data Science

JUNE 7, 2023

Bilokon | Visiting Lecturer, CEO and Founder | Imperial College London, Thalesians Ltd Apache Kafka for Real-Time Machine Learning Without a Data Lake: Kai Waehner | Global Field CTO, Author, International Speaker Semantic Analysis and Procedural Language Understanding in the Era of Large Language Models: Dr. Gözde Gül Şahin | Assistant Professor, (..)

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Heartbeat

MARCH 5, 2024

This article explores the exciting world of image enhancement techniques, including various methods that can be employed to preprocess and improve images, ranging from traditional image processing techniques to modern deep learning-based approaches. What Is Image Augmentation? What Is Image Augmentation? height_shift_range=0.2,

Deep Learning 52

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ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Duisburg-Essen, Germany) is a professor of Computer Science and director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt in Germany.

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NYU Center for Data Science

JULY 28, 2023

The international machine learning educational summit, held from July 8th through the 16th, was organized by AI for Global Goals in collaboration with the University of Oxford Deep Medicine and the Canadian Institute for Advanced Research (CIFAR). Could you talk a bit about the course you taught for OxML 2023?

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Machine Learning Machine Learning Computer Science Computer Science 83

Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. What is required to build an AI system?

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ODSC - Open Data Science

MAY 24, 2023

To save time for our financial advisors, our team decided to experiment with generative natural language processing (NLP) models to assist them in their daily conversations with clients. Designing this evaluation process is not a straightforward task and needs to be adjusted to each use case.

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Dataconomy

MARCH 8, 2023

Autonomous artificial intelligence systems rely on a combination of technologies such as natural language processing ( NLP ), computer vision, deep learning, and reinforcement learning to operate independently. One of the key concepts in autonomous systems engineering is system integration.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. is a significant benchmark dataset in computer vision and natural language processing. Lensch, H. A., & Akata, Z.

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Pickl AI

JULY 18, 2023

Here are the key steps to embark on the path towards becoming an AI Architect: Acquire a Strong Foundation Start by building a solid foundation in computer science, mathematics, and statistics. Explore topics such as regression, classification, clustering, neural networks, and natural language processing.

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ODSC - Open Data Science

APRIL 6, 2023

Video of the Week: Introduction to Generative Art with Stable Diffusion In this video, HP’s Hunter Kempf introduces stable diffusion, a new approach to generative art that combines the principles of machine learning and image processing.

Data Science 52

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NYU Center for Data Science

JULY 21, 2023

But they point out that the deeper reason for the field’s explosion is the deep learning paradigm we’ve been in for the past decade, which has allowed researchers from disparate specialties to talk to each other. Similar overhead was required to do research in natural language processing.

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IBM Journey to AI blog

JULY 6, 2023

That’s where data science comes in. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.” ” “Data science” was first used as an independent discipline in 2001. Machine learning and deep learning are both subsets of AI.

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IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Machine learning is a subset of AI.

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NYU Center for Data Science

DECEMBER 12, 2023

Founded by Julia Stoyanovich , Associate Professor of Data Science, and Institute Associate Professor of Computer Science & Engineering, the Center for Responsible AI aims to redefine the AI landscape by ensuring that responsibility in AI is not an afterthought but the groundwork of its very definition.

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

He develops machine-assisted labeling solutions to help customers obtain drastic speedups in acquiring groundtruth spanning the Computer Vision, Natural Language Processing and Generative AI domain. Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon.

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AWS Machine Learning Blog

APRIL 27, 2023

Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks. If you’re looking for human feedback to improve your large language models, visit Amazon SageMaker Data Labeling and the Ground Truth Plus console.

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Dataconomy

FEBRUARY 22, 2023

The systems can only “understand” specific situations they have been exposed to in the past and are unable to generalize in a way that humans find easy, said Stuart Russell, a computer science professor at the University of California, Berkeley.

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Hacker News

MARCH 25, 2022

“Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results.

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ODSC - Open Data Science

APRIL 21, 2023

With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

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AWS Machine Learning Blog

APRIL 18, 2023

He specializes in building machine learning pipelines that involve concepts such as natural language processing and computer vision. He has an extensive background in computer science and machine learning. Amin Tajgardoon is an Applied Scientist at the Amazon ML Solutions Lab.

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PyImageSearch

JANUARY 1, 2024

Course information: 83 total classes • 113+ hours of on-demand code walkthrough videos • Last updated: December 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or requires a degree in computer science?

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