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. Having a human-in-the-loop to validate each data transformation step is optional.

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DataRobot Blog

APRIL 1, 2018

In Nick Heudecker’s session on Driving Analytics Success with Data Engineering , we learned about the rise of the data engineer role – a jack-of-all-trades data maverick who resides either in the line of business or IT. DataRobot Data Prep. Duncan | Ehtisham Zaidi | Guido De Simoni | Douglas Laney. [5]

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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Iguazio

DECEMBER 14, 2023

Who This Book Is For This book is for practitioners in charge of building, managing, maintaining, and operationalizing the ML process end to end: Data science / AI / ML leaders: Heads of Data Science, VPs of Advanced Analytics, AI Lead etc. Exploratory data analysis (EDA) and modeling.

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IBM Journey to AI blog

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2. This integration simplifies data management and accelerates the preparation process, directly benefiting clients.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

Context In early 2023, Zeta’s machine learning (ML) teams shifted from traditional vertical teams to a more dynamic horizontal structure, introducing the concept of pods comprising diverse skill sets. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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ODSC - Open Data Science

AUGUST 9, 2023

A cordial greeting to all data science enthusiasts! I consider myself fortunate to have the opportunity to speak at the upcoming ODSC APAC conference slated for the 22nd of August 2023. The inferSchema parameter is set to True to infer the data types of the columns, and header is set to True to use the first row as headers.

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IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Savings may vary depending on configurations, workloads and vendor.

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

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ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. For prompt engineers, it can be used for the deployment and orchestration of LLM applications.

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Iguazio

FEBRUARY 8, 2024

Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. 2023 was the year of GenAI, and it doesn’t seem like the momentum is slowing down. What’s in store for LLMOps and how can data professionals prepare?

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Mlearning.ai

APRIL 6, 2023

def clean_tweets_dataset(local_file_path: str): csv_file = os.path.join(local_file_path, 'tweet_data.csv') json_file = os.path.join(local_file_path, 'tweet_data.json') with open(csv_file, "r+") as infile, open(json_file, "w+") as outfile: reader = csv.reader(infile) for row in reader: data = [row[0].replace("@","")]

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phData

DECEMBER 4, 2023

Knowing this, you want to have data prepared in a way to optimize your load. That’s why it’s so valuable to have experienced data engineers on your side, like the ones here at phData. These unoptimized partitions will return results slower, frustrate consumers, and increase credit consumption.

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AWS Machine Learning Blog

DECEMBER 5, 2024

He writes about topics relevant to his customers, focusing on data engineering and machine learning. Sid Rampally is a Customer Solutions Manager at AWS, driving generative AI acceleration for life sciences customers. In his spare time, Sid enjoys walking his dog in Central Park and playing hockey.

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