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DE & ML Digest
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DE & ML Digest
Big Data
Building a Geospatial Lakehouse, Part 1
Databricks
How to Build a Geospatial Lakehouse, Part 1
Learn the fundamentals of building a geospatial lakehouse with Databricks, enabling advanced spatial data analytics.
DE & ML Digest
Big Data
AI Weekly: Novel architectures could make large language models more scalable
VentureBeat
AI Weekly: Novel architectures could make large language models more scalable
Large language models are currently difficult to scale. But this could change with an architecture called mixture of experts.
DE & ML Digest
Big Data
Enabling Computer Vision Applications With the Data Lakehouse
Databricks
How to Enable Computer Vision on a Lakehouse, Part 1
In the first part of the series, we explore the fundamentals of computer vision by taking a close look at the technology, processes and tasks involved with data ingestion, model training and deployment.
DE & ML Digest
Big Data
О бедном бите замолвите слово
Хабр
О бедном бите замолвите слово
Н. Кобринский, В. Пекелис «Быстрее мысли» — Молодая гвардия, 1959 Когда все вокруг измеряют Гигабайтами, Петабайтами, Зетабайтами и т.д., все компании гордятся своей БигДатой, вспоминать о битах в...
DE & ML Digest
Big Data
Is DataOps “DevOps For Data”?
dzone.com
Is DataOps “DevOps For Data”? - DZone Big Data
DevOps and DataOps, both are based on agile structures, the first focuses on product development while DataOps focuses on data management and speed to delivery.
DE & ML Digest
Big Data
[Перевод] Машинное обучение помогает прогнозировать использование ресурсов при SQL-запросах
Хабр
Машинное обучение помогает прогнозировать использование ресурсов при SQL-запросах
Статья написана по мотивам работы "Forecasting SQL Query Cost at Twitter", 2021 («Прогнозирование стоимости SQL-запросов в Twitter»), представленной на IX Международной конференции IEEE по облачной...
DE & ML Digest
Big Data
Getting Started With Matplotlib
dzone.com
How to Get Started With Matplotlib - DZone Big Data
Here's how to get started with Matplotlib, a third-party library for data visualization that can represent data in almost any way.
DE & ML Digest
ML
10 Key AI & Data Analytics Trends for 2022 and Beyond
KDnuggets
10 Key AI & Data Analytics Trends for 2022 and Beyond - KDnuggets
What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.
DE & ML Digest
ML
The 5 Characteristics of a Successful Data Scientist
KDnuggets
The 5 Characteristics of a Successful Data Scientist
I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree?
DE & ML Digest
ML
Clear Storage: The Ethics of Deletion Policies for Stored Facial Images
Medium
Clear Storage: The Ethics of Retention Policies for Stored Facial Images
The main issue with facial recognition storage isn’t security; it’s duration.
DE & ML Digest
ML
Effective Testing for Machine Learning (Part I)
Medium
Effective Testing for Machine Learning (Part I)
A progressive, step-by-step framework for developing robust ML projects
DE & ML Digest
ML
Mythbusting: The Venerable SQL Database and Today’s Real-Time Analytics
Medium
Mythbusting: The Venerable SQL Database and Today’s Real-Time Analytics
Not your father’s Oracle cluster, but better.
DE & ML Digest
ML
Best Practices In ML Observability for Click-Through Rate Models
Medium
Best Practices In ML Observability for Click-Through Rate Models
Tips to keep clicks rolling in over the holidays and beyond
DE & ML Digest
ML
Exploring Practical Recommendation Engines In Neo4j
Medium
Exploring Practical Recommendation Systems In Neo4j
Leveraging Graph Data Science & Machine Learning
DE & ML Digest
ML
Are We Ready for a Fully Automated Society?
Medium
Are We Ready for a Fully Automated Society?
Analyzing the ethical implications and limitations of using artificial intelligence to replace human jobs
DE & ML Digest
ML
On the Importance of Bayesian Thinking in Everyday Life
Medium
On the Importance of Bayesian Thinking in Everyday Life
This simple mind-shift will help you better understand the uncertain world around you
DE & ML Digest
ML
Calculating Machine Learning Model Performance Metrics With Confidence Intervals using FRONNI
Medium
Calculating Machine Learning Model Performance Metrics With Confidence Intervals using FRONNI
A Python library for quickly calculating and displaying machine learning model performance metrics with confidence intervals
DE & ML Digest
ML
Stats and R Is 2 Years Old
Medium
Stats and R Is 2 Years Old
Learn how to track page views, sessions, users engagement and more Google Analytics data in R with the {googleAnayticsR} R package
DE & ML Digest
ML
Interpretable Neural Networks With PyTorch
Medium
Interpretable Neural Networks With PyTorch
Learn how to build feedforward neural networks that are interpretable by design using PyTorch
DE & ML Digest
Big Data
Chicago big data and data engineering meetups
reddit
Chicago big data and data engineering meetups
Hi, I'm a data engineer with a math background and work a lot with Hadoop/CLoudera/AWS. I will be visiting Chicago for a couple weeks and was...
DE & ML Digest
ML
Classification on Hyperspectral Data
Medium
Classification on Hyperspectral Data
A step-by-step tutorial about learning how to perform feature reduction and then the classification of hyperspectral data using Support…
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