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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
120 subscribers
DE & ML Digest
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Julia Tutorial for 3D Data Science
Medium
Julia Tutorial for 3D Data Science
Discover the Julia programming language with this 6-step tutorial and develop a workflow for 3D point cloud and mesh processing.
DE & ML Digest
ML
Inventory Management for Retail — Stochastic Demand
Medium
Inventory Management for Retail — Stochastic Demand
Simulate the impact of safety stock level on inventory management performance metrics assuming a normal distribution of your demand
DE & ML Digest
ML
Kernel Methods: A Simple Introduction
Medium
Kernel Methods: A Simple Introduction
The basics of kernel methods and Radial Basis Functions
DE & ML Digest
ML
How to Use W&B Sweeps with LightGBM for Hyperparameter Tuning
Medium
How to Use W&B Sweeps with LightGBM for Hyperparameter Tuning
Understand how different hyperparameters’ effects on model performance
DE & ML Digest
Big Data
How to Build the Local Development Environment for Apache DolphinScheduler Step by Step? | Chinese and English Video Tutorials
reddit
How to Build the Local Development Environment for Apache...
Posted in r/bigdata by u/DolphinScheduler1 • 1 point and 0 comments
DE & ML Digest
Big Data
AI development is driven by web data collection
reddit
AI development is driven by web data collection
Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments
DE & ML Digest
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MetaClean Automates Peak Quality Assessments
Medium
MetaClean Automates Peak Quality Assessments
Leverage machine learning to detect poor quality integrations and save hours assessing peaks manually
DE & ML Digest
ML
Getting Started with R Shiny
Medium
Getting Started with R Shiny
Take the first steps towards becoming an R shiny expert
DE & ML Digest
ML
Bayes’ Theorem, Clearly Explained with Visualization
Medium
Bayes’ Theorem, Clearly Explained with Visualization
If you tested positive with COVID, what is the chance that you actually have COVID?
DE & ML Digest
ML
Multidimensional Scaling (MDS) for Dimensionality Reduction and Data Visualization
Medium
Multidimensional Scaling (MDS) for Dimensionality Reduction and Data Visualization
Explaining and reproducing Multidimensional Scaling (MDS) using different distance approaches with python implementation
DE & ML Digest
ML
Not Merely Averages: Using Machine Learning to Estimate Heterogeneous Treatment Effects
Medium
Not Merely Averages: Using Machine Learning to Estimate Heterogeneous Treatment Effects
How does the causal impact of a policy or program vary across individuals?
DE & ML Digest
ML
MySQL vs Cassandra DB
Medium
MySQL vs Cassandra DB
Another RDBMS and NoSQL showdown…
DE & ML Digest
ML
Data Splitting for Model Evaluation
Medium
Data Splitting for Model Evaluation
Time to return to fundamentals. Data splitting, or train-test split, is such a basic concept that we sometimes forgot its importance.
DE & ML Digest
Big Data
[Перевод] Как размечать данные для машинного обучения
Хабр
Как размечать данные для машинного обучения
Искусственный интеллект (ИИ, AI) двигает человечество в будущее, и чтобы иметь конкурентное преимущество, вам нужно быть к нему готовым. Машинное обучение (МЛ, ML) — подмножество ИИ, позволяющее...
DE & ML Digest
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Eliminating AI Bias
Medium
Eliminating AI Bias
Identifying AI Bias and knowing how to prevent it from occurring within the AI/ML pipeline
DE & ML Digest
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How to calculate confidence intervals for performance metrics in Machine Learning using an automatic bootstrap method
KDnuggets
How to calculate confidence intervals for performance metrics in Machine Learning using an automatic bootstrap method - KDnuggets
Are your model performance measurements very precise due to a “large” test set, or very uncertain due to a “small” or imbalanced test set?
DE & ML Digest
ML
Detailed Insight on Docker for Beginners
Analytics Vidhya
Detailed Insight on Docker for Beginners - Analytics Vidhya
This article was published as a part of the Data Science Blogathon Introduction Docker is an open software platform for developing, running, and shipping applications. Docker is mainly designed to deliver your applications faster. Its main motto is that it…
DE & ML Digest
ML
Clustering Made Easy with PyCaret
Medium
Clustering Made Easy with PyCaret
Low-code Machine Learning with a Powerful Python Library
DE & ML Digest
ML
Salami Coffee Grinding
Medium
Salami Coffee Grinding
Slicing a grind in time
DE & ML Digest
ML
10 Things You Might Not Know About Wikipedia Library In Python
Medium
10 Things You Might Not Know About Wikipedia Library In Python
Fetching data is much simpler with a line of code using Wikipedia API!
DE & ML Digest
ML
New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture
KDnuggets
New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture - KDnuggets
As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and…
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