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 155

Deep Learning Deep Learning AI AI 155

Becoming Human

MAY 11, 2023

Empowering Startups and Entrepreneurs | InvestBegin.com | investbegin The success of ChatGPT can be attributed to several key factors, including advancements in machine learning, natural language processing, and big data. Machine Learning and Deep Learning One of the key components of the development of ChatGPT is machine learning.

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 83

How to Learn Machine Learning

JANUARY 10, 2023

Still, you’ll probably be familiar with Machine Learning or Blockchain apps and their potential to reform the tech world. Fascinated by the world of Artificial Intelligence and Machine Learning and wondering how to start? Python: The Best Programming Language To Choose For Blockchain Programming and Machine Learning.

Machine Learning 52

Machine Learning Machine Learning Python SQL 52

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

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

Applied Data Science

JANUARY 4, 2022

You’ve probably heard of three different architectures widely used in machine learning: feedforward , convolutional and recurrent ANNs. Source Self-supervision Self-supervision is a deep learning technique that could compete with Transformers for the most influential discovery of the past years. But at what cost?

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Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 130

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.

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AI AI Deep Learning Deep Learning 139

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. Thus, zero-shot learning is a subfield of transfer learning. The importance of Zero-Shot Learning Data Labeling is a labor-intensive job.

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Deep Learning Deep Learning Supervised Learning Machine Learning 127

Becoming Human

MAY 15, 2023

Experts recommend Python as one of the best languages for NLP as well as for machine learning and neural network connections. Both of these languages have extensive libraries that will get you started with the basics of machine learning. Both of these techniques use a deep learning approach for translation.

Machine Learning 124

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 124

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.

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Deep Learning Deep Learning Machine Learning Machine Learning 142

Becoming Human

MAY 15, 2023

Machine Learning Machine learning is a type of artificial intelligence that allows software applications to learn from the data and become more accurate over time. Performance Metrics These are used to evaluate the performance of a machine-learning algorithm.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time. He is passionate about designing machine learning systems to serve customers at scale.

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AWS ML Machine Learning ML 107

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!

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Deep Learning Deep Learning SQL Natural Language Processing 98

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

Becoming Human

AUGUST 15, 2023

Introduction In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Remember, logistic regression is just one piece of the vast and exciting field of machine learning, but it’s a crucial building block in your data science journey. Happy classifying!

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 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.

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Clustering Computer Science Computer Science Deep Learning 87

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. This can entail giving the chatbot more training data or utilizing machine learning methods to enhance the chatbot’s comprehension of specific situation.

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Natural Language Processing Machine Learning Machine Learning Deep Learning 59

Dataconomy

MAY 8, 2023

AI drawing generators use machine learning algorithms to produce artwork What is AI drawing? They use deep learning models to learn from large sets of images and make new ones that meet the prompts. These tools use AI and machine learning to generate realistic and beautiful images based on the prompt you give them.

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Artificial Intelligence Artificial Intelligence AI AI 194

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.

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Pickl AI

SEPTEMBER 25, 2023

Moreover, learning it at a young age can give kids a head start in acquiring the knowledge and skills needed for future career opportunities in Data Analysis, Machine Learning, and Artificial Intelligence. Machine Learning Fundamentals Machine learning is at the heart of Data Science.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52

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

ODSC - Open Data Science

SEPTEMBER 18, 2024

Combining this information with machine learning algorithms and data scientists could yield groundbreaking insights to advance sector research. The Foundation of Convolutional Neural Networks Neural networks and machine learning are the typical highlights in AI-focused conversations and publications.

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Data Scientist Data Science Machine Learning Machine Learning 40

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 (..)

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Algorithm Artificial Intelligence Artificial Intelligence Python 69

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

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 Algorithm Artificial Intelligence 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.

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Data Scientist Deep Learning Deep Learning ML 52