AWS Machine Learning Blog

SEPTEMBER 10, 2024

Improvements using foundation models Despite yielding promising results, PORPOISE and HEEC algorithms use backbone architectures trained using supervised learning (for example, ImageNet pre-trained ResNet50). Tamas helped customers in the Healthcare and Life Science vertical to innovate through the adoption of Machine Learning.

Supervised Learning 86

Supervised Learning Machine Learning Machine Learning AWS 86

Dataconomy

APRIL 18, 2023

Artificial intelligence is a branch of computer science that aims to create intelligent machines that can learn from experience and perform tasks that typically require human-like cognitive abilities. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Women in Big Data

DECEMBER 13, 2023

The goal of the talk was to learn about the basics of NLP (Natural Language Processing), how NLP is done, what is LLM (Large Language Model), Generative AI and how you can drive your career around it. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

If you’re looking to write code, as the AI take on the persona of a computer science teacher and begin asking it questions. This method guides the AI by example, leading to more accurate results. Or you can even ask the AI to take on personas based on the subject matter you’re working with.

AI 98

AI AI Data Science Supervised Learning 98

Snorkel AI

FEBRUARY 21, 2023

In the video above, Alex talks with Brown University Computer Science Assistant Professor (and Snorkel collaborator) Stephen Bach, about the work he did with BigScience on improving and refining foundation models like GPT-3 with curated task-specific data. Stephen Bach: Thanks so much for having me, Alex. Alex Ratner: Awesome.

Supervised Learning 52

Supervised Learning Computer Science Computer Science Database 52

Snorkel AI

FEBRUARY 21, 2023

In the video above, Alex talks with Brown University Computer Science Assistant Professor (and Snorkel collaborator) Stephen Bach, about the work he did with BigScience on improving and refining foundation models like GPT-3 with curated task-specific data. Stephen Bach: Thanks so much for having me, Alex. Alex Ratner: Awesome.

Supervised Learning 52

Supervised Learning Computer Science Computer Science Database 52

Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Towards AI

MAY 1, 2024

R and Machine Learning The field of computer science known as “machine learning” focuses on creating algorithms with learning capabilities. Concept learning, function learning, sometimes known as “predictive modeling,” clustering, and the identification of predictive patterns are typical machine learning tasks.

K-nearest Neighbors 78

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 78

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.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

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. Technology is becoming more embedded in our daily lives by the minute.

Deep Learning 75

Deep Learning Deep Learning Machine Learning Machine Learning 75

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. Yi Yang is a Professor with the college of computer science and technology, Zhejiang University.

Supervised Learning 173

Supervised Learning Artificial Intelligence Artificial Intelligence AI 173

ODSC - Open Data Science

SEPTEMBER 19, 2023

Depending on the position, and company, it can require a strong understanding of natural language processing, computer science, linguistics, and software engineering. Learn from some of the leading minds who are pioneering the latest advancements in large language models.

Natural Language Processing 98

Natural Language Processing Data Science Supervised Learning Computer Science 98

Data Science Connect

SEPTEMBER 18, 2018

At the upcoming Data Science ATL conference, Sutherland will be talking about the foundations of supervised learning and will dive into how you can make descriptive inferences from text.

Analytics 130

Analytics Analytics Data Science Supervised Learning 130

Towards AI

APRIL 4, 2024

Machine learning (ML) has proven that it is here with us for the long haul, everyone who had their doubts by calling it a phase should by now realize how wrong they are, ML has being used in various sector’s of society such as medicine, geospatial data, finance, statistics and robotics.

K-nearest Neighbors 70

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 70

Dataconomy

MARCH 14, 2023

One major issue with conventional supervised learning approaches is that they lack scalability. On the other hand, self-supervised learning can utilize audio-only data, which is more readily available across a wide range of languages. The Conformer, or convolution-augmented transformer, is used as the encoder in USM.

Natural Language Processing 70

Natural Language Processing Machine Learning Machine Learning Supervised Learning 70

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

AWS Machine Learning Blog

SEPTEMBER 5, 2023

Conclusion In this post, we showed how our team used AWS Glue and SageMaker to create a scalable supervised learning solution for predictive maintenance. Yingwei received his PhD in computer science from Texas A&M University. candidate in computer science at UNC-Charlotte. The remaining 8.4%

AWS 120

AWS ML ML Machine Learning 120

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 80

Machine Learning Machine Learning Data Science Big Data 80

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

AWS Machine Learning Blog

OCTOBER 30, 2024

It was distilled from a larger teacher model (approximately 5 billion parameters), which was pre-trained on a large amount of unlabeled ASIN data and pre-fine-tuned on a set of Amazon supervised learning tasks (multi-task pre-fine-tuning). Outside of work, he enjoys traveling, playing outdoor sports, and exploring board games.

Machine Learning 93

Machine Learning Machine Learning AWS Data Scientist 93

Pickl AI

JULY 10, 2024

Course Content: Python and statistics Machine Learning and supervised learning Business intelligence tools Artificial Intelligence Course by MIT MIT’s free AI course, part of its OpenCourseWare initiative, provides an in-depth exploration of classic AI algorithms and applications suitable for self-motivated learners.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

PyImageSearch

SEPTEMBER 16, 2024

Machine Learning Methods Machine learning methods ( Figure 7 ) can be divided into supervised, unsupervised, and semi-supervised learning techniques. Figure 7: Machine learning methods for identifying outliers or anomalies (source : Turing ). Or requires a degree in computer science?

Clustering 56

Clustering Algorithm Machine Learning Machine Learning 56

Pickl AI

AUGUST 1, 2024

Data Quality and Quantity Deep Learning models require large amounts of high-quality, labelled training data to learn effectively. Solutions include data augmentation, transfer learning, and semi-supervised learning to improve data efficiency.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Becoming Human

MARCH 16, 2023

Unlike supervised and semi-supervised learning algorithms that can identify patterns only in structured data, DL models are capable of processing vast volumes of unstructured data and make more advanced predictions with little supervision from humans.

AI 139

AI AI Artificial Intelligence Artificial Intelligence 139

Applied Data Science

MARCH 11, 2022

Our internal agents are playing games until they learn how to cooperate and trick us into believing we are an individual. Here, we are interested in the formal definition born in economics and used in computer science: In a game, two or more agents, are interacting by performing actions, which give them rewards.

AI 130

AI AI Data Science Machine Learning 130

AWS Machine Learning Blog

SEPTEMBER 8, 2023

Vision Transformer Many of the most exciting new AI breakthroughs have come from two recent innovations: self-supervised learning, which allows machines to learn from random, unlabeled examples; and Transformers, which enable AI models to selectively focus on certain parts of their input and thus reason more effectively.

Machine Learning 107

Machine Learning Machine Learning AWS ML 107

Pickl AI

SEPTEMBER 18, 2024

Academic Background A strong academic foundation is essential for anyone aspiring to become a Machine Learning Engineer. Most professionals in this field start with a bachelor’s degree in computer science, Data Science, mathematics, or a related discipline.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Pickl AI

JANUARY 12, 2023

In addition to incorporating all the fundamentals of Data Science, this Data Science program for working professionals also includes practical applications and real-world case studies. Also, some prior knowledge in programming and data analysis is helpful.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

Pickl AI

APRIL 10, 2023

With the growing proliferation and impact of data-driven decisions on different industries, having expertise in the Data Science domain will always have a positive impact. Student Go for Data Science Course? Yes, BSE students can opt for Data Science courses. Is Data Science for Working Professionals a Good Option?

Data Science 52

Data Science Machine Learning Machine Learning Python 52

AssemblyAI

NOVEMBER 21, 2022

This yields a large list of tensor-factorization pairs that can be used for supervised learning. In fact, AlphaTensor's neural network employs a mixed training strategy : training at once on the target tensor with a standard reinforcement learning loss and on random tensors with a supervised loss.

Algorithm 52

Algorithm Supervised Learning Deep Learning Deep Learning 52

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

PyImageSearch

FEBRUARY 6, 2023

Data Analysis When working with data, especially supervised learning, it is often a best practice to check data imbalance. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? That’s not the case.

Deep Learning 138

Deep Learning Deep Learning Python Data Analysis 138

ODSC - Open Data Science

FEBRUARY 14, 2023

The model was fine-tuned to reduce false, harmful, or biased output using a combination of supervised learning in conjunction to what OpenAI calls Reinforcement Learning with Human Feedback (RLHF), where humans rank potential outputs and a reinforcement learning algorithm rewards the model for generating outputs like those that rank highly.

Database 124

Database AI AI Natural Language Processing 124