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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
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DE & ML Digest
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The Present and Future of AI Regulation
Medium
The present and future of AI regulation
Anthony Habayeb on corporate AI governance
DE & ML Digest
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Big Data Visualization Using Datashader in Python
Medium
Big Data Visualization Using Datashader in Python
How does Datashader work and why is it crazy fast?
DE & ML Digest
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Machine Learning Monitoring — What, Why, Where and How?
Medium
Machine Learning Monitoring — What, Why, Where and How?
So you’ve deployed your model and it is now processing the requests and making predictions on live data. But how do you monitor the model?
DE & ML Digest
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How to derive summary statistics using PostgreSQL
Medium
How to derive summary statistics using PostgreSQL
Deriving summary statistics of numerical and categorical fields using PostgreSQL
DE & ML Digest
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Four Different Pipes for R with magrittr
KDnuggets
Four Different Pipes for R with magrittr - KDnuggets
The magrittr package supplies the pipe operator (%>%), but it turns out that the package actually contains four pipe operators in total. Let's go into them a bit.
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Anomaly Detection cheat sheet
DE & ML Digest
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Here’s Why You Need Python Skills as a Machine Learning Engineer
KDnuggets
Here’s Why You Need Python Skills as a Machine Learning Engineer - KDnuggets
If you want to learn how to apply Python programming skills in the context of AI applications, the UC San Diego Extension Machine Learning Engineering Bootcamp can help. Read on to find out more about how machine learning engineers use Python, and why the…
DE & ML Digest
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Speech Recognition with Timestamps
Medium
Speech Recognition with Timestamps
Offline and free speech recognition with Python and the vosk API
DE & ML Digest
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Do algorithms have politics?
Medium
Do algorithms have politics?
Do artifacts have politics? This question has been the subject of decades of discussion in the social sciences and remains pertinent today.
DE & ML Digest
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Deep Q-network with Pytorch and Gym to solve the Acrobot game
Medium
Deep Q-network with Pytorch and Gym to solve the Acrobot game
An Introduction and Implementation of a Deep Reinforcement Learning algorithm
DE & ML Digest
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Exploring the Helium Network with Graph Theory
Medium
Exploring the Helium Network with Graph Theory
Using blockchain data to extract insights about network coverage and “suspicious” hotspots
DE & ML Digest
Big Data
Databricks acquires 8080 Labs to bolster its low-code offerings
VentureBeat
Databricks acquires 8080 Labs to bolster its low-code offerings
Databricks announced the acquisition of 8080 Labs, a player in the big data analytics space, to bolster its platforms.
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A Fuzzy String Matching Story
Medium
A Fuzzy String Matching Story
Learn how to build a fuzzy string matching baseline model
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How to Write a Data Science Post Everyone Can Understand
Medium
How to Write a Data Science Post Everyone Can Understand
Six useful guidelines to explain data-related things even for a non-technical person
DE & ML Digest
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Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning
Google AI Blog
Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning
Posted by Maarten Bosma, Research Engineer and Jason Wei, AI Resident, Google Research For a machine learning model to generate meaningfu...
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AWS for Machine Learning Engineers
Medium
AWS for Machine Learning Engineers
Exploring some of the key services provided by AWS in order to solve data-driven challenges.
DE & ML Digest
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What is Data Modeling?
Medium
What is Data Modeling?
The business value isn’t in your data, it lies in the transformation layer
DE & ML Digest
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Engineering Local Recommendations Leveraging HEINEKEN’s Global Scale
Medium
Engineering Local Recommendations Leveraging HEINEKEN’s Global Scale
The HEINEKEN Company is innovating its 157 years old business with data and analytics. Recommendation systems increasingly support our…
DE & ML Digest
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Data Analysis with Scala
Medium
Data Analysis with Scala
Learn through examples with Maximum Information Coefficient and RScala library for visualization
DE & ML Digest
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HRNet explained: Human Pose Estimation, Sematic Segmentation and Object Detection
Medium
HRNet explained: Human Pose Estimation, Sematic Segmentation and Object Detection
Revealing whats behind the state-of-the art algorithm HRNet
DE & ML Digest
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Gradsflow — Democratizing AI with AutoML
Medium
Gradsflow — Democratizing AI with AutoML
GradsFlow is an open-source AutoML & Model Training Library on PyTorch. Our goal is to democratize AI and make it available to everyone.
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