AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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Data Science Dojo

JULY 26, 2023

In 2023, Artificial Intelligence (AI) is a hot topic, captivating millions of people worldwide. In this article, we’ll explore five of the most advanced LLMs in the world as of 2023. Best large language models (LLMs) in 2023 Best Large Language Models 1.

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! PyTorch PyTorch, a Python-based machine learning library, stands out among its peers in the machine learning tools ecosystem.

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DrivenData Labs

APRIL 8, 2025

These applications are all enabled by a strong ecosystem of open-source Python packages for working with image data. In this post, we provide an overview of open-source Python packages for extracting features from speech audio data. Now that we all know a little bit about speech waveforms, back to Python!

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AWS Machine Learning Blog

DECEMBER 10, 2024

You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Discover Pixtral 12B in SageMaker JumpStart You can access Pixtral 12B through SageMaker JumpStart in the SageMaker Studio UI and the SageMaker Python SDK.

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Dataconomy

MAY 16, 2023

Key skills and qualifications for machine learning engineers include: Strong programming skills: Proficiency in programming languages such as Python, R, or Java is essential for implementing machine learning algorithms and building data pipelines. Their technical skills enable them to build efficient and scalable machine learning solutions.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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AWS Machine Learning Blog

APRIL 20, 2023

Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. Based on Inference Recommender’s instance type recommendations, we can find the right real-time serving ML instances that yield the right price-performance for this use case.

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Towards AI

NOVEMBER 5, 2023

Last Updated on November 5, 2023 by Editorial Team Author(s): Euclidean AI Originally published on Towards AI. Source: [link] This article describes a solution for a generative AI resume screener that got us 3rd place at DataRobot & AWS Hackathon 2023. AWS Bedrock provides a Python SDK named Boto3. Give us feedback.

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ODSC - Open Data Science

FEBRUARY 24, 2023

Sweetviz GitHub | Website Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst.

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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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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

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phData

JULY 3, 2023

Snowflake Summit 2023 was full of exciting announcements across all workloads, but AI/ML was particularly more prevalent than ever. Here’s a quick rundown of everything that Data Scientists and ML Engineers should be excited about. Here’s a quick rundown of everything that Data Scientists and ML Engineers should be excited about.

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phData

NOVEMBER 2, 2023

From cutting-edge innovations in MLOps to powerful integrations with Large Language Models (LLMs), Snowflake’s event was chock full of exciting announcements for Data Scientists and ML Engineers. In this post, we’ll recap some of the announcements that we’re most excited about in the AI/ML space.

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Towards AI

AUGUST 27, 2023

Last Updated on August 28, 2023 by Editorial Team Author(s): Marcello Politi Originally published on Towards AI. Today I am going to tell you about Pydantic a library that is now a standard in Python programming used mostly… Read the full blog for free on Medium. Upgrade to access all of Medium.

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Towards AI

JULY 17, 2023

Last Updated on July 18, 2023 by Editorial Team Author(s): Muttineni Sai Rohith Originally published on Towards AI. Pyspark MLlib | Classification using Pyspark ML In the previous sections, we discussed about RDD, Dataframes, and Pyspark concepts. In this article, we will discuss about Pyspark MLlib and Spark ML.

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ODSC - Open Data Science

FEBRUARY 17, 2023

NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows. TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering.

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Google Research AI blog

APRIL 7, 2023

As part of Google's Crisis Response and our efforts to address the climate crisis , we are using machine learning (ML) models for Flood Forecasting to alert people in areas that are impacted before disaster strikes. Frederik Kratzert (Research Scientist at Google) provided an overview of the Caravan project (below).

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ODSC - Open Data Science

MAY 25, 2023

sktime — Python Toolbox for Machine Learning with Time Series Editor’s note: Franz Kiraly is a speaker for ODSC Europe this June. Be sure to check out his talk, “ sktime — Python Toolbox for Machine Learning with Time Series ,” there! Welcome to sktime, the open community and Python framework for all things time series.

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AWS Machine Learning Blog

JANUARY 29, 2025

For example: Given the following financial data: - Company A's revenue grew from $10M to $15M in 2023 - Operating costs increased by 20% - Initial operating costs were $7M Calculate the company's operating margin for 2023. You can customize the retry behavior using the AWS SDK for Python (Boto3) Config object.

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Towards AI

APRIL 5, 2023

Last Updated on April 6, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. To overcome this limitation, Python developers have been leveraging Rust, a systems programming language, to improve their code’s performance and safety. Lets get started! Lets get started!

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DrivenData Labs

MAY 12, 2025

The challenge and results were also published in the AGU Space Weather journal and was among their top 10% of viewed articles published in 2023. It often serves as an ongoing reference to benchmark and demonstrate development efforts in the broader ML/AI ecosystem.

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Mlearning.ai

MAY 31, 2023

In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques. Setting up the Development Environment To get started, we need to set up our Python development environment with the necessary libraries and tools. SOTA 3D 2023 // Your AI Mlearning.ai Stay tuned for future articles! ??

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ODSC - Open Data Science

APRIL 18, 2023

ODSC East 2023 is just a few weeks away and we’ve been hard at work finalizing the conference schedule. Monday, May 8th — Day 0: Pre-Conference Bootcamp Day The first unofficial day of ODSC East 2023 is the virtual-only Pre-Conference Bootcamp Day. Join us to meet and connect with your fellow Mini-Bootcamp attendees.

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Towards AI

SEPTEMBER 2, 2023

Last Updated on September 3, 2023 by Editorial Team Author(s): John Leung Originally published on Towards AI. An analysis focusing on drift examples, and implementing Python-based monitoring strategies This member-only story is on us. Machine Learning (ML) model development often takes time and requires technical expertise.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. Seven Python Libraries for Data Science and Machine Learning : 1.

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ODSC - Open Data Science

MARCH 13, 2023

Learn more about a few of our ODSC East 2023 instructors, their backgrounds in education, and why they’re fit for imparting their knowledge. He also operates his own Python and data science consultancy and corporate training business. He also teaches AI and ML courses at Cornell, NY and Queens University, CA.

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PyImageSearch

FEBRUARY 20, 2023

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX? autograd XLA ? What Is JAX (revisited)?

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AWS Machine Learning Blog

JUNE 6, 2023

Amazon SageMaker Feature Store is a purpose-built service to store and retrieve feature data for use by machine learning (ML) models. Feature Store recently extended the SageMaker Python SDK to make it easier to create datasets from the offline store. Access the code from the GitHub repository and upload it to your notebook instance.

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Ocean Protocol

MARCH 10, 2023

What We’re Doing in 2023, and Why Ocean’s first phase was building the core infrastructure for the open data economy. The focus of the Ocean core team for 2023 and beyond is to realize this hypothesis. They use Python extensively. They’re quite familiar with key AI/ML tools like numpy, and scikit-learn. Contents 1.

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Towards AI

MAY 2, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. The Python engine has the capability to access and read the data needed for the process The web application is built with Streamlit.

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. This is done to optimize performance and minimize cost of LLM invocation.

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. I learned some Python coding in class but this helped make it real. Our hope is that they take this forward and expand their ML knowledge.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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