DE & ML Digest
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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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Parametric vs Non-Parametric Methods in Machine Learning
Medium
Parametric vs Non-Parametric Methods in Machine Learning
Discussing the difference between parametric and non-parametric methods in the context of Machine Learning
DE & ML Digest
ML
Data Nutrition Labels for Professional AI Development
Medium
Data Nutrition Labels for Professional AI Development
Responsible AI is more than just a set of principles. The expectation is that you will have evidence that they are being upheld.
DE & ML Digest
ML
Teaching AI to Classify Time-series Patterns with Synthetic Data
KDnuggets
Teaching AI to Classify Time-series Patterns with Synthetic Data - KDnuggets
How to build and train an AI model to identify various common anomaly patterns in time-series data.
DE & ML Digest
ML
Detailed Explanation of Simple Linear Regression, Assessment and, Inference with ANOVA
Medium
Detailed Explanation of Simple Linear Regression, Assessment and, Inference with ANOVA
Step by Step Discussion and Workout with Examples, Implementation manually and in R
DE & ML Digest
ML
Find Trending Products Each Month using Tableau
Medium
Find Trending Products Each Month using Tableau
How to Use Level of Detail Calculations to select and display most Increased Sales Each Month
DE & ML Digest
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Machine Learning on Graphs, Part 3
Medium
Machine Learning on Graphs, Part 3
Graph kernels methods that are easy to implement and yield models that can be efficiently trained
DE & ML Digest
ML
Vectorizing computations on pairs of elements in an nd-array
Medium
Vectorizing computations on pairs of elements in an nd-array
In Python with NumPy
DE & ML Digest
ML
Apache Spark Monitoring: How To Use Spark API & Open-Source Libraries To Get Better Data…
Medium
Apache Spark Monitoring: How To Use Spark API & Open-Source Libraries To Get Better Data…
See how to use Listener APIs and data quality libraries to get different levels of data observability for Apache Spark.
DE & ML Digest
ML
Deep neural networks: How to define?
Medium
Deep neural networks: How to define?
Correctly defining what makes a neural network deep is important. This post proposes an alternative definition to deep neural networks.
DE & ML Digest
ML
Scikit-Learn’s Generalized Linear Models
Medium
Scikit-Learn’s Generalized Linear Models
Or how to make sure the airplane’s altitude is not negative.
DE & ML Digest
ML
Will you let Self-Driving Cars Make Moral Decisions?
Medium
Will You Let Self-Driving Cars Make Moral Decisions?
The real reasons why Artificial Intelligence is so hard
DE & ML Digest
ML
Better Quantifying the Performance of Object Detection in Video
Medium
Better Quantifying the Performance of Object Detection in Video
We know how to measure object detection performance, but how can this be done properly for video data?
DE & ML Digest
ML
Performing Deduplication with Record Linkage and Supervised Learning
Medium
Performing Deduplication with Record Linkage and Supervised Learning
Identifying duplicate records with a machine-learning approach
DE & ML Digest
ML
5 Things I’ve Learned as an Open Source Machine Learning Framework Creator
Medium
5 Things I’ve Learned as an Open Source Machine Learning Framework Creator
If you’re an aspiring creator or maintainer of open source machine learning frameworks, you might find these tips helpful.
DE & ML Digest
Big Data
AI Weekly: Amazon’s ‘custom’ AI features showcase the potential of unsupervised learning
VentureBeat
AI Weekly: Amazon’s ‘custom’ AI features showcase the potential of unsupervised learning
Amazon's newly announced Custom Sounds and Custom Event Alerts features illustrate the potential of techniques like unsupervised learning.
DE & ML Digest
Big Data
How to Implement Typeahead Search with Elasticsearch
DZone
How to Implement Typeahead Search with Elasticsearch
Check out four different methods to implement typeahead search using Elasticsearch for a better end-user experience.
DE & ML Digest
ML
How I built an AI Text-to-Art Generator
Medium
How I built an AI Text-to-Art Generator
A detailed, step-by-swrite-up on how I built Text2Art.com
DE & ML Digest
ML
A journey towards faster Reinforcement Learning
Medium
A journey towards faster Reinforcement Learning
This article could save you hours in a matter of minutes thanks to parallelization and Numba
DE & ML Digest
ML
What’s in a “Random Forest”? Predicting Diabetes
Medium
What’s in a “Random Forest”? Predicting Diabetes
Understanding a Random Forest intuitively and predicting diabetes in real hospital patient data
DE & ML Digest
ML
Accessing and Cleaning Data from Garmin Wearables for Analysis
Medium
Accessing and Cleaning Data from Garmin Wearables for Analysis
A Friendly how-to guide on extracting Garmin Fenix data for people in a hurry
DE & ML Digest
Big Data
Here is a short summary of the "Reverse ETL" tools article by @HightouchData. Take a look!
reddit
Here is a short summary of the "Reverse ETL" tools article by...
Posted in r/bigdata by u/growth_man • 0 points and 0 comments
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