NYU Center for Data Science

SEPTEMBER 11, 2024

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. She led the first effort to accelerate astrophysical simulations with deep learning.

Deep Learning 73

Deep Learning Deep Learning Computer Science Computer Science 73

Becoming Human

AUGUST 15, 2023

This article explains my personal experiences using 6 common methods for serving open source LLMs: AWS Sage Maker, Hugging Face… Continue reading on Becoming Human: Artificial Intelligence Magazine »

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AWS Deep Learning 98

Flipboard

JULY 10, 2023

RF Diffusion, a deep learning tool. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics.

Deep Learning 158

Deep Learning Deep Learning AI AI 158

Applied Data Science

JANUARY 4, 2022

Source Self-supervision Self-supervision is a deep learning technique that could compete with Transformers for the most influential discovery of the past years. Statistical significance The answer is a concept that the deep learning community has been shoving under the carpet for a while now: statistical significance.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 130

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.

Deep Learning 127

Deep Learning Deep Learning Supervised Learning Machine Learning 127

Becoming Human

MARCH 16, 2023

Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed. A few AI technologies are empowering drug design.

AI 139

AI AI Deep Learning Deep Learning 139

Becoming Human

MAY 11, 2023

Machine Learning and Deep Learning One of the key components of the development of ChatGPT is machine learning. Machine learning is a process that involves training artificial neural networks with large amounts of data so that they can learn to recognize patterns and make predictions based on that data.

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 83

Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. NLP Model Forge So… the NLP Model Forge, a collection of 1,400 NLP code snippets that you can seamlessly select to run inference in Colab!

Deep Learning 98

Deep Learning Deep Learning SQL Natural Language Processing 98

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science. Data Science and AI are related?

Data Science 105

Data Science Big Data Big Data Deep Learning 105

Becoming Human

MARCH 16, 2023

Here is the first part of this series This portion of the series is also accessible in collab format, which can be found at this link - [link] PyTorch Geometric Introduction A Python library for deep learning on irregular data structures, such as Graphs, and PyTorch Geometric, is available for download.

Deep Learning 142

Deep Learning Deep Learning Machine Learning Machine Learning 142

Becoming Human

APRIL 19, 2024

These models provide human-like outputs in text, picture, and code among other domains by utilizing methods like deep learning along with neural networks. To anticipate protein folding, a persistent problem in biology, Alpha Fold makes use of deep learning.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Becoming Human

JULY 23, 2024

CNNs, a class of deep-learning neural networks, have proven exceptionally effective in addressing this issue. These networks are trained on large datasets of noisy and clean images, learning to identify and eliminate noise while preserving critical anatomical details.

Deep Learning 45

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 45

Mlearning.ai

APRIL 8, 2023

Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning ML 52

Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

Clustering 87

Clustering Computer Science Computer Science Deep Learning 87

Becoming Human

MAY 15, 2023

Both of these techniques use a deep learning approach for translation. It does this by comparing the two languages and trying to translate it on a sentence-by-sentence basis through what is called Parallel Corpora. LLM does translation in two ways. First by direct translation, and second by encoder decoder translation.

Machine Learning 124

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 124

Becoming Human

MAY 15, 2023

Things to be learned: Ensemble Techniques such as Random Forest and Boosting Algorithms and you can also learn Time Series Analysis. Deep Learning Deep Learning is a subfield of machine learning that focuses on training deep neural networks with multiple layers to improve performance on complex tasks.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Becoming Human

MARCH 16, 2023

The best way to classify images seems to be to learn how to encode them in the best way. In fact, this is the whole point of CLIP (and most of deep learning)! We start with bad encodings (random encodings for each image), and we want the model to learn the best encodings (i.e. Stay happy and happy Learning!

Deep Learning 75

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 75

AWS Machine Learning Blog

NOVEMBER 26, 2023

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. Aniket works in the general area of recommendation systems, contextual bandits, and multi-modal deep learning.

AWS 96

AWS ML ML Machine Learning 96

Becoming Human

AUGUST 15, 2023

My research focuses on developing robust deep learning models for solving computer vision problems. Demystifying Logistic Regression: A Simple Guide was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

BAIR

APRIL 6, 2023

These robots use recent advances in deep learning to operate autonomously in unstructured environments. By pooling data from all robots in the fleet, the entire fleet can efficiently learn from the experience of each individual robot.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence Supervised Learning 98

Becoming Human

MAY 22, 2023

— — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — LinkedIn: [link] My Google Scholar: [link] Blog on, “Semantic Segmentation for Pneumothorax Detection & Segmentation” [link] Get Certified in ChatGPT + Conversational UX + Dialogflow Train Your First Deep Q Learning based RL Agent: A Step-by-Step Guide was originally published (..)

Algorithm 69

Algorithm Artificial Intelligence Artificial Intelligence Python 69

Heartbeat

JUNE 22, 2023

Nevertheless, new developments in deep learning and machine learning have given us the ability to create NLP models that are more precise as well as successful. Additional resources: “ Chatbots Magazine ” — A digital newspaper with articles, news, and industry insights on anything related to chatbots and AI.

Natural Language Processing 59

Natural Language Processing Machine Learning Machine Learning Deep Learning 59

Dataconomy

MAY 8, 2023

They use deep learning models to learn from large sets of images and make new ones that meet the prompts. AI drawing generators, including Bing Image Creator, can be used to generate illustrations for books, magazines, and other publications.

Artificial Intelligence 194

Artificial Intelligence Artificial Intelligence AI AI 194

Mlearning.ai

JUNE 28, 2023

Person’s face occluded with magazine (Image from Stackoverflow) Dealing with occlusions is problematic because the obscured portions give insufficient information, making it difficult to precisely distinguish or locate objects.

Algorithm 52

Algorithm Deep Learning Deep Learning ML 52

Pickl AI

SEPTEMBER 25, 2023

Machine Learning Fundamentals Machine learning is at the heart of Data Science. Start with the basics of supervised and unsupervised learning and gradually delve into advanced topics like deep learning. Hands-on Projects The best way to learn is by doing.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52

Becoming Human

MAY 12, 2023

The rise of advanced machine-learning algorithms in the 1990s allowed image annotation to be automated. As a result of the development of deep learning algorithms, image recognition has become more precise. Investing in a cost-effective partner to handle image annotation can save companies time, money, and resources.

Machine Learning 81

Machine Learning Machine Learning AI AI 81

ODSC - Open Data Science

SEPTEMBER 18, 2024

Eleanor Hecks specializes in AI and modeling topics as the editor-in-chief of Designerly Magazine. As smart technologies expand in scope and type, parsing receptive fields will become more pivotal in humanity’s understanding of the world through technology’s eyes.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

How to Learn Machine Learning

JANUARY 10, 2023

According to Visual studio magazine , there are near about 5 to 8 million developers globally who use C#. R is suitable for statistical learning having powerful libraries for data experiment and exploration, while Python is better suitable for machine learning, deep learning, and large-scale web applications.

Machine Learning 52

Machine Learning Machine Learning Python SQL 52

Heartbeat

NOVEMBER 8, 2023

Topic: {topic1} and {topic2} Rap: """ prompt_template = PromptTemplate(input_variables=["topic1", "topic2"], template=template) rap_chain = LLMChain(llm=llm, prompt=prompt_template, output_key="rap") template = """ You are a rap critic from the Rolling Stone magazine and Metacritic.

Data Scientist 52

Data Scientist Deep Learning Deep Learning ML 52

Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. These OCR products digitize and democratize the valuable information that is stored in paper or image-based sources (e.g.,

Clustering 102

Clustering Natural Language Processing Deep Learning Deep Learning 102

Heartbeat

DECEMBER 28, 2023

Towards Federated Learning at Scale: System Design. Computer Magazine, 50 (1), 30–39. Advances and Open Problems in Federated Learning. References: Bonawitz, K., arXiv preprint arXiv:1902.01046. Satyanarayanan, M. The Emergence of Edge Computing. Kairouz, P., arXiv preprint arXiv:1912.04977. Sandler, M.,

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52