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A beginner's guide to using Observable JavaScript, R, and Python with Quarto

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.

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The importance of monitoring machine learning models

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable.

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How to choose a cloud machine learning platform

12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.

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MIT startup DataCebo offers tool to evaluate synthetic data

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets.

data analytics / risk assessment / tracking data or trends

SAS Viya analytics suite now available on Azure Marketplace

Viya’s move to the Azure Marketplace allows enterprise customers to access its tools and features in a pay-as-you-go model, the company said.

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Starburst’s new data products aim to ease cross-cloud analytics

Data product capabilities added to the Starburst Enterprise software are targeted at enhancing data management and security while being compliant with cross-border regulations.

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Oracle MySQL HeatWave comes to AWS

Oracle’s MySQL database service supporting mixed analytical, transaction processing, and machine learning workloads is now available on Amazon Web Services.

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When is enough data enough?

Maybe we don’t need more data, we just need people who understand the data we already have and its value in a business context.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

R tutorials: Learn R programming for data science

Search for R tutorials by task, topic, or package. Many include videos which are shorter than 10 minutes

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TensorFlow 2.10 shines on Keras, Decision Forests

Update to Google’s open source machine learning platform brings Keras improvements, performance enhancements, and TensorFlow Decision Forests 1.0.

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How to create Word docs from R or Python with Quarto

It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages.

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Dremio Cloud review: A fast and flexible data lakehouse on AWS

Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data.

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What devops needs to know about data governance

Industry leaders agree that data governance belongs to everyone in IT. Managing the privacy, security, and reliability of data impacts all aspects of the business.

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Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but there's always room for improvement. Learn how to use Cython to iterate over NumPy arrays at the speed of C.

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Teradata launches VantageCloud Lake for ad-hoc analytics

VantageCloud Lake edition comes with expanded ClearScape Analytics suite that supports in-database analytics for artificial intelligence and machine learning operations.

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TensorFlow, PyTorch, and JAX: Choosing a deep learning framework

Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?

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IT career roadmap: Data scientist

Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.

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Why Apache Iceberg will rule data in the cloud

Apache Iceberg is an open table format that offers scalability, usability, and performance advantages for very large data sets. Here are five reasons Iceberg is optimal for cloud data workloads.

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9 platforms that improve employee digital experiences

Boost productivity and job satisfaction with efficient workflows and helpful tools, such as no-code development, intelligent search, and customer data platforms.

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Review: Snowflake aces Python machine learning

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.

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