Flipboard

JANUARY 5, 2024

To achieve this goal, we utilized supervised machine learning (SML) techniques to establish a predictive model for BT requirements in THA patients. Additionally, we employed unsupervised machine learning (UML) approaches to identify clinical heterogeneity among these patients.

Clustering 67

Clustering Machine Learning Machine Learning Algorithm 67

Analytics Vidhya

JANUARY 2, 2024

Introduction Voronoi diagrams, named after the Russian mathematician Georgy Voronoy, are fascinating geometric structures with applications in various fields such as computer science, geography, biology, and urban planning.

Computer Science 238

Computer Science Computer Science Analytics Analytics 238

Data Science Dojo

AUGUST 11, 2023

Machine learning is a field of computer science that uses statistical techniques to build models from data. Supervised machine learning algorithms, such as linear regression and decision trees, are fundamental models that underpin predictive modeling.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

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, (..)

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 29, 2024

Trainium is the second-generation machine learning (ML) accelerator that AWS purpose built to help developers access high-performance model training accelerators to help lower training costs by up to 50% over comparable Amazon Elastic Compute Cloud (Amazon EC2) instances. 32xlarge instance featuring 32 GB of VRAM.

AWS 103

AWS Clustering ML ML 103

Flipboard

DECEMBER 22, 2023

As the camera moves out, the cubes form clusters of similar colors. A camera moves through a cloud of multi-colored cubes, each representing an email message. Three passing cubes are labeled “k *@enron.com”, “m @enron.com” and “j **@enron.com.” By Jeremy White Dec. 22, 2023 Last month, I …

Clustering 181

Clustering Computer Science Computer Science Machine Learning 181

Flipboard

DECEMBER 26, 2023

Wes Ramage was born with a condition called optic nerve hypoplasia, an underdevelopment of the clusters of cells that relay signals from the retina to the brain. He can see objects, but no details. His family moved around a lot throughout Southern Ontario. As a kid with extremely limited vision, he …

Clustering 160

Clustering AI AI Computer Science 160

Flipboard

AUGUST 31, 2023

Tesla has revealed its investment into a massive compute cluster comprising 10,000 Nvidia H100 GPUs specifically designed to power AI workloads.

Clustering 151

Clustering AI AI Computer Science 151

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Knowing how spaCy works means little if you don’t know how to apply core NLP skills like transformers, classification, linguistics, question answering, sentiment analysis, topic modeling, machine translation, speech recognition, named entity recognition, and others.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Analyst Data Science Machine Learning 172

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Apache Hadoop 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

ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. Here’s how. Hands-on Data-Centric AI: Data Preparation Tuning — Why and How?

ML 52

ML ML Data Science Machine Learning 52

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 80

Machine Learning Machine Learning Supervised Learning Clustering 80

Flipboard

JUNE 5, 2023

One resembles the kind of pickup soccer game, usually with very young kids or drunk adults, where every player clusters in a … Here's why. There are, roughly speaking, two Silicon Valleys.

Clustering 123

Clustering AI AI Computer Science 123

Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

K-nearest Neighbors 80

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 80

Pickl AI

JULY 18, 2023

AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts. Model Selection and Optimization Identifying appropriate machine learning models and techniques, fine-tuning parameters, and optimizing the performance of AI systems.

AI 52

AI AI Machine Learning Machine Learning 52

Flipboard

JULY 10, 2023

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often …

Clustering 77

Clustering ML ML AI 77

AWS Machine Learning Blog

SEPTEMBER 18, 2023

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster.

Machine Learning 103

Machine Learning Machine Learning ML ML 103

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

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. Develop AI models using machine learning or deep learning algorithms. Machine learning and deep learning algorithms are commonly used in AI development.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Data Science Dojo

SEPTEMBER 19, 2023

You will likely find that the histogram is bell-shaped, with most of the students clustered around the average height and fewer students at the extremes. Information theory is used in many different areas of communication, computer science, and statistics. Learn about Top Machine Learning Algorithms for Data Science 11.

Computer Science 195

Computer Science Computer Science Data Science Algorithm 195

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

Snorkel AI

JANUARY 26, 2024

Programmatically scale human preferences and alignment in GenAI Hoang Tran, Machine Learning Engineer at Snorkel AI, explained how he used scalable tools to align language models with human preferences. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks.

Data Science 64

Data Science AI AI Machine Learning 64

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.

Deep Learning 60

Deep Learning Deep Learning Machine Learning Machine Learning 60

Snorkel AI

JANUARY 26, 2024

Programmatically scale human preferences and alignment in GenAI Hoang Tran, Machine Learning Engineer at Snorkel AI, explained how he used scalable tools to align language models with human preferences. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks.

Data Science 52

Data Science AI AI Machine Learning 52

Mlearning.ai

MAY 23, 2023

Hey guys, we will see some of the Best and Unique Machine Learning Projects for final year engineering students in today’s blog. Machine learning has become a transformative technology across various fields, revolutionizing complex problem-solving. final year Machine learning project.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

ODSC - Open Data Science

APRIL 25, 2023

Graph visualization finds applications in various fields, such as computer science, social network analysis, biology, and business. Node sizes indicate the degree of collaboration, while node colors represent clusters of authors based on their collaborative patterns.

Data Science 52

Data Science AI AI Algorithm 52

AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. In contrast, with federated learning, training usually occurs in multiple separate accounts or across Regions. She has extensive experience in machine learning with a PhD degree in computer science.

Machine Learning 71

Machine Learning Machine Learning AWS ML 71

Mlearning.ai

JUNE 27, 2023

Hierarchical Clustering. Hierarchical Clustering: Since, we have already learnt “ K- Means” as a popular clustering algorithm. The other popular clustering algorithm is “Hierarchical clustering”. remember we have two types of “Hierarchical Clustering”. Divisive Hierarchical clustering. They are : 1.Agglomerative

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. Below follows a transcript of their conversation, lightly edited for readability. Mayee Chen: Okay. Hi everyone.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. Below follows a transcript of their conversation, lightly edited for readability. Mayee Chen: Okay. Hi everyone.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. Natural language processing and machine learning as practical toolsets for archival processing.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

NYU Center for Data Science

NOVEMBER 15, 2023

The conference began in 1987 and focuses on the advancement of research in AI and machine learning. The conference will take place in-person at the New Orleans Ernest N. Morial Convention Center.

Data Science 82

Data Science Computer Science Computer Science Supervised Learning 82

NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 73

Computer Science Computer Science Data Science Supervised Learning 73

ODSC - Open Data Science

APRIL 21, 2023

By translating responses to high-dimensional vector embeddings, clustering algorithms can group the data into discrete sets of documents that share a semantic similarity. Researchers used a zero-shot machine learning classifier based on the BART model to predict the treatment outcome using transcripts from psychological support sessions.

AI 52

AI AI Azure Algorithm 52