Data Science 101

JANUARY 3, 2020

Unfortunately, it did not bring a flurry of data science announcements. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. A First Look at AWS Data Exchange (Webinar) AWS Data Exchange is a product for finding and using third party data.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages.

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Data Science 101

DECEMBER 2, 2019

AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Parts of the event will be livestreamed , so you can watch from anywhere. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia. 2048 256 10.4

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used. Click to enlarge!

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AWS Machine Learning Blog

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. Unfortunately, as in the real world, not all players communicate appropriately and respectfully.

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AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. We ask “What was the Amazon’s revenue in 2019 and 2021?”

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ODSC - Open Data Science

FEBRUARY 17, 2023

The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

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AWS Machine Learning Blog

MARCH 28, 2024

For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart. Before you get started with the solution, create an AWS account. This identity is called the AWS account root user. The Mixtral-8x7B model is made available under the permissive Apache 2.0

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ODSC - Open Data Science

AUGUST 4, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. Q: LLMs didn’t pick up in popularity until late 2022. Register here.

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AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. Lauren Mullennex is a Senior AI/ML Specialist Solutions Architect at AWS. In his spare time, he loves traveling and writing.

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AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. The data is sent to the Amazon Titan Text Embeddings model to generate embeddings. Use AWS CloudFormation to create the solution stack You can use AWS CloudFormation to create the solution stack.

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AWS Machine Learning Blog

JULY 3, 2024

To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. 2019 Apr;179(4):561-569. Epub 2019 Jan 31. Data Scientist with 8+ years of experience in Data Science and Machine Learning. Am J Med Genet A. doi: 10.1002/ajmg.a.61055.

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AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. The following diagram shows the solution’s architecture.

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AWS Machine Learning Blog

SEPTEMBER 10, 2024

In this post, we detail our collaboration in creating two proof of concept (PoC) exercises around multi-modal machine learning for survival analysis and cancer sub-typing, using genomic (gene expression, mutation and copy number variant data) and imaging (histopathology slides) data. 2022 ) was implemented (Section 2.1).

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Modern, state-of-the-art time series forecasting enables choice To meet real-world forecasting needs, AWS provides a broad and deep set of capabilities that deliver a modern approach to time series forecasting. Real-world data is more complicated than can be expressed with an average or a straight regression line estimate.

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Data Science Dojo

JUNE 6, 2023

Amazon Go, a cashier-less convenience store that debuted in 2019, is just one instance of how traditional industries are undergoing a digital upheaval. A common pitfall for businesses undergoing digital transformation is assuming that it is easy to migrate existing technology to a new platform or system (like the cloud or AWS).

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Dataconomy

SEPTEMBER 4, 2023

Organizations must diligently manage access controls, encryption, and data protection to mitigate risks. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Data catalog: Implement a data catalog to organize and catalog your data assets.

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Mlearning.ai

JANUARY 26, 2023

Priorities for Data Cubes evolution Users and developers discussed some of the main trends in the evolution of data cubes and best practices moving forward, such as how to overcome bottlenecks, and key technologies to improve efficiency and accessibility. 2/2) What should be the priority for the data cube evolution? Queiroz, G.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Advances in neural information processing systems 32 (2019). Visualizing data using t-SNE.” He helps AWS customers identify and build ML solutions to address their business challenges in areas such as logistics, personalization and recommendations, computer vision, fraud prevention, forecasting and supply chain optimization.

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Women in Big Data

JULY 10, 2023

She finished her second Masters in Computer Engineering and Cybersecurity in 2019 from San Jose State University. Security and Data Science are interlayered sciences that are used to create solutions for companies looking to protect themselves from cyber-criminal threats. Reena covered these two areas in the presentation.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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phData

JANUARY 31, 2024

Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Let’s continue by creating a front-end to enable analysts.

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The MLOps Blog

MARCH 20, 2023

Learn more Version Control for Machine Learning and Data Science Dataset version management challenges Data storage and retrieval As a machine learning project advances in its lifecycle, its demand for data also increases. Data Management at Scale. Read more How to Version and Compare Datasets in neptune.ai

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Mlearning.ai

JUNE 28, 2023

This piece of data that my mentor found is called “ SemCor Corpus [5] ” (We access the dataset via NLTK’s SemcorCorpusReader [6] ) The reformatted version of the dataset looks something like this. It might look quite overwhelming but this is what data science and computer engineering are about.

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Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). OpenAI’s GPT-2, finalized in 2019 at 1.5 The plot was boring and the acting was awful: Negative This movie was okay. For example: I love this movie.

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Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). OpenAI’s GPT-2, finalized in 2019 at 1.5 The plot was boring and the acting was awful: Negative This movie was okay. For example: I love this movie.

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The MLOps Blog

AUGUST 3, 2023

For example, let’s take Airflow , AWS SageMaker pipelines. We’re building on top of Hamilton, which is an open-source framework for describing data flows. As you’ve been running the ML data platform team, how do you do that? If you can be data-driven, that is the best. Stefan: Back in 2019.

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AWS Machine Learning Blog

APRIL 11, 2023

It’s a fully managed on-demand service, integrated with SageMaker and other AWS services, and therefore creates and manages resources for you. Furthermore, Pipelines is supported by the SageMaker Python SDK , letting you track your data lineage and reuse steps by caching them to ease development time and cost.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

According to health organizations such as the Centers for Disease Control and Prevention ( CDC ) and the World Health Organization ( WHO ), a spillover event at a wet market in Wuhan, China most likely caused the coronavirus disease 2019 (COVID-19). Janosch Woschitz is a Senior Solutions Architect at AWS, specializing in geospatial AI/ML.

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Data Science Dojo

DECEMBER 31, 2023

Progress of Gen AI from Data Science Dojo 1. Following earlier collaborations in 2019 and 2021, this agreement focused on boosting AI supercomputing capabilities and research. AWS launched Bedrock Amazon Web Services unveiled its groundbreaking service, Bedrock. OpenAI released Dall.

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