2009, Algorithm and ML - Data Science Current

Introducing NYU Center for Data Science Research Groups

NYU Center for Data Science

JULY 18, 2023

ML² The Machine Learning for Language (ML²) group works on machine learning methods for natural language processing (NLP) through developing cutting-edge models and engaging in research. STAT The STAT group (Statistics: Tools, Algorithms, and Theory) seeks to advance statistical applications in data science and machine learning.

Data Science

Data Science Machine Learning Machine Learning Natural Language Processing

Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning Blog

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

Algorithm

Algorithm Clustering Machine Learning Machine Learning

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

NOVEMBER 3, 2023

His 2009 strike against Leverkusen at a speed of 125 km/h is one that is vividly remembered because the sheer velocity of Hitzlsperger’s free-kick was enough to leave Germany’s number one goalkeeper, René Adler, seemingly petrified. To achieve this, our process uses a synchronization algorithm that is trained on a labeled dataset.

AWS

AWS Apache Kafka Data Scientist Data Science

Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

How to Modernize Manufacturing Without Losing Control

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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The Alignment Problem Is Not New

O'Reilly Media

JUNE 15, 2023

You have only to look at the slow response of bank regulators to the rise of CDOs and other mortgage-backed derivatives in the runup to the 2009 financial crisis to understand that time is of the essence. There is no perfectly efficient algorithm that gets everything right. In his book Voices in the Code , James G.

AI

AI AI Algorithm ML

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML

ML ML Deep Learning Deep Learning

A Practical Guide for identifying important features using Python

Mlearning.ai

JULY 30, 2023

Nonetheless, features are an essential ingredient in building an ML model. This covers unsupervised, supervised, self-supervised, decision-making, and even graph ML. What we are looking for in these algorithms is to output a list of features along with corresponding importance values. However, they struggle with sparse features.

Python

Python Machine Learning Machine Learning Algorithm

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML

ML ML Deep Learning Deep Learning

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

Data Quality

Data Quality ML ML AI

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

Data Quality

Data Quality ML ML AI

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

Data Quality

Data Quality ML ML AI

Improving Neural Networks with Neuroscience

Mlearning.ai

JULY 17, 2023

His passion is using Python to design and implement new brain-driven algorithms and models in machine learning and artificial intelligence. There are, of course, many such differences between ANNs and biological brains, and in truth, many of these will likely never lend themselves to computational ML models.

Machine Learning

Machine Learning Machine Learning Data Scientist Data Science

How Active Learning Can Improve Your Computer Vision Pipeline

DagsHub

DECEMBER 23, 2024

For instance, given a certain sample if the active learning algorithm is uncertain about the correct response it can send the sample to the human annotator. Key Characteristics Synthetic Data Generation : Query synthesis algorithms actively generate new training examples rather than selecting from an existing pool.

Deep Learning

Deep Learning Deep Learning Supervised Learning Clustering

Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. You can then choose Train to start the training job on a SageMaker ML instance.

ML

ML ML Machine Learning Machine Learning

Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart

AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). Choose Submit to start the training job on a SageMaker ML instance. You can access the Meta Llama 3.2

AI

AI AI ML ML

Data Science Current

Introducing NYU Center for Data Science Research Groups

Amazon SageMaker built-in LightGBM now offers distributed training using Dask

Webinars

Trending Sources

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

Webinars

The Alignment Problem Is Not New

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

A Practical Guide for identifying important features using Python

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

McKinsey QuantumBlack on automating data quality remediation with AI

McKinsey QuantumBlack on automating data quality remediation with AI

McKinsey QuantumBlack on automating data quality remediation with AI

Improving Neural Networks with Neuroscience

How Active Learning Can Improve Your Computer Vision Pipeline

Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart

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