Is ML.NET Still Worth Learning?
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
.NET
File-Based Apps in .NET 10: C# Without the Ceremony
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
How to Handle Big Data Files in C# with Parquet.NET
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
Why F# for the Enterprise
First Wintellect Blog Post + A New Series On Design Patterns
Core C#: Delegates
Using TraceSource for Logging
Debugger Display using ToString()
WinDBG Beginner Sessions: Part 1 - Hang
WinDBG Beginner Sessions: Part 0
On Better Developer Testing
Mastering .NET Debugging….or Trying To
.NET-10
File-Based Apps in .NET 10: C# Without the Ceremony
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
C#
Is ML.NET Still Worth Learning?
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
File-Based Apps in .NET 10: C# Without the Ceremony
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
How to Handle Big Data Files in C# with Parquet.NET
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
Why C# is Still Worth Learning Today
First Wintellect Blog Post + A New Series On Design Patterns
Core C#: Delegates
F#
ML.NET Predictions on the Web in F# with the SAFE Stack
Build an F# web app with the SAFE Stack and serve ML.NET predictions from it, using F# on both the server and the client.
Getting Up and Running with FsLab for Data Science
New Wintellect Blog Posts
Gentle Introduction to F#
Wintellect F# Blog Post Collection
Introduction to Paket
Why F# for the Enterprise
Exercism F# Track Now Available
ai
Is ML.NET Still Worth Learning?
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
AI Ethics and Fairness Resources
Videos and research papers on AI ethics and fairness, covering how bias gets into data and models and how to reduce it.
Top 5 Artificial Intelligence Sessions at Build 2018
Microsoft Announces AI Course
artificial-intelligence
Top 5 Artificial Intelligence Sessions at Build 2018
An Overview of Microsoft Cognitive Services
Microsoft Announces AI Course
azure-data-lake
How to Read Azure Data Lake Storage in Azure Databricks
azure-databricks
Perform Linear Regression in Azure Databricks with MLLib
Train and evaluate a linear regression model with Spark MLlib in Azure Databricks, using the UCI Computer Hardware dataset.
A Quick Tour of Azure Databricks
How to Read Azure Data Lake Storage in Azure Databricks
bing-image-search
Use Bing Image Search to Get Training Image Data
Use the Bing Image Search API to download training images for an image classification model. Note: the Bing Search APIs were retired in 2025.
blogs
New Wintellect Blog Posts
book
Book Review: Python Tricks
Review of Dan Bader's Python Tricks, with an example from each of its seven sections, from clean Python patterns to dictionaries and productivity.
Book Review: Coders at Work
Book Review: Deep Work
Book Review: So Good They Can't Ignore You
Book Review: Elon Musk Biography
Book Review: Without Their Permission
Book Review: Masters of Doom
Book Review: Steve Jobs by Walter Isaacson
book-review
Book Review: Python Tricks
Review of Dan Bader's Python Tricks, with an example from each of its seven sections, from clean Python patterns to dictionaries and productivity.
Book Review: Becoming a More Effective Developer
Book Review: Coders at Work
Book Review: Deep Work
Book Review: So Good They Can't Ignore You
Book Review: Elon Musk Biography
Book Review: Without Their Permission
Book Review: Masters of Doom
Book Review: Steve Jobs by Walter Isaacson
books
Top 5 Machine Learning Books
The five machine learning books I recommend, from Hands-On Machine Learning to Deep Learning with Python, and what each one covers.
5 Books To Become a Better Software Developer
career-development
Book Review: Becoming a More Effective Developer
Book Review: Deep Work
Why I'm Reading Research Papers
My Deliberate Practice Plan to Become a Better Programmer
You Are Good Enough
clustering
Clustering in ML.NET
How to use k-means clustering in ML.NET to find groups in unlabeled data, with a complete C# example.
cntk
Using CNTK as a Backend for Keras
cognitive-services
Introduction to QnA Maker
Turn an FAQ page into a chatbot knowledge base with Microsoft QnA Maker. Note: QnA Maker is retired in favor of Azure AI Language question answering.
Use Bing Image Search to Get Training Image Data
Use the Bing Image Search API to download training images for an image classification model. Note: the Bing Search APIs were retired in 2025.
Custom Vision: Using the Training SDK to Train an Updated Model
Predict Herbs in C# With the Custom Vision SDK
An Overview of Microsoft Cognitive Services
cognitive-toolkit
Using CNTK as a Backend for Keras
command-line
.jpeg)
Git Commands I Can't Live Without
courses
Best Pluralsight Videos to Help Your Career
custom-vision
Custom Vision: Using the Training SDK to Train an Updated Model
Predict Herbs in C# With the Custom Vision SDK
data
How to Handle Big Data Files in C# with Parquet.NET
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
Data Anonymization
Research Minute: Useful Things about Machine Learning
Bias in Machine Learning
data-science
How to Handle Big Data Files in C# with Parquet.NET
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
Completing the Microsoft Professional Program for Data Science
Research Minute: Useful Things about Machine Learning
Bias in Machine Learning
Wintellect Data Science Blog Post Roundup
Getting Up and Running with FsLab for Data Science
deep-learning
The ML.NET Deep Learning Plans
The ML.NET team's plan for deep learning: what's supported today and the roadmap for training neural networks from scratch in ML.NET.
An Overview of Microsoft Cognitive Services
Using CNTK as a Backend for Keras
deliberate-practice
Why I'm Reading Research Papers
development
File-Based Apps in .NET 10: C# Without the Ceremony
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
My Deliberate Practice Plan to Become a Better Programmer
Consuming the Jamendo API with AngularJS: Services
Beginning Ruby for C# Developers
Core C#: Delegates
Code Katas Can Be Helpful
You Are Good Enough
Current Project Queue
A Thought on Legacy Code
Debugger Display using ToString()
On Better Developer Testing
ethics
AI Ethics and Fairness Resources
Videos and research papers on AI ethics and fairness, covering how bias gets into data and models and how to reduce it.
Data Anonymization
fsadvent
ML.NET Predictions on the Web in F# with the SAFE Stack
Build an F# web app with the SAFE Stack and serve ML.NET predictions from it, using F# on both the server and the client.
Getting Up and Running with FsLab for Data Science
fslabs
Getting Up and Running with FsLab for Data Science
gifs
Using GIFs on Bug Reports
git
Git Commands I Can't Live Without
keras
Using CNTK as a Backend for Keras
learning
Top 5 YouTube Channels
Five YouTube channels I check regularly to learn new development topics, starting with Traversy Media.
Microsoft Announces AI Course
Completing the Microsoft Professional Program for Data Science
Book Review: Becoming a More Effective Developer
Learning Math for Programming
Best Pluralsight Videos to Help Your Career
Why C# is Still Worth Learning Today
Beginning Ruby for C# Developers
Code Katas Can Be Helpful
Current Project Queue
link-roundup
Wintellect Post Roundup
Random Link Roundup
Sunday Link Roundup
machine-learning
Is ML.NET Still Worth Learning?
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
How the Machine Learning Process is Like Cooking
How the machine learning process, from data to a deployed model, mirrors cooking a meal, and why following the process leads to better models.
Perform Linear Regression in Azure Databricks with MLLib
Train and evaluate a linear regression model with Spark MLlib in Azure Databricks, using the UCI Computer Hardware dataset.
Top 5 Machine Learning Books
The five machine learning books I recommend, from Hands-On Machine Learning to Deep Learning with Python, and what each one covers.
ML.NET End-to-End: Build Model from Database Data
Build an ML.NET model end to end: write and read training data in Azure SQL, train the model, and save it to Azure Blob Storage for other apps.
Clustering in ML.NET
How to use k-means clustering in ML.NET to find groups in unlabeled data, with a complete C# example.
Cross Validation in ML.NET
Create Your First Machine Learning Pipeline in ML.NET
Top 5 Artificial Intelligence Sessions at Build 2018
Research Minute: Useful Things about Machine Learning
Bias in Machine Learning
math
Learning Math for Programming
microsoft
Microsoft Announces AI Course
mllib
Perform Linear Regression in Azure Databricks with MLLib
Train and evaluate a linear regression model with Spark MLlib in Azure Databricks, using the UCI Computer Hardware dataset.
mlnet
Is ML.NET Still Worth Learning?
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
What's New in the ML.NET CLI
What's new in the ML.NET CLI, including the new platform-specific install names and other updates.
The ML.NET Deep Learning Plans
The ML.NET team's plan for deep learning: what's supported today and the roadmap for training neural networks from scratch in ML.NET.
What's New in ML.NET Version 1.6
Highlights of the ML.NET 1.6 release, with links to the pull requests behind each new feature. No breaking changes.
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What's New in the Model Builder Preview
A walkthrough of the new features in the ML.NET Model Builder preview, following the full flow from loading data to a trained model.
How to Build the ML.NET Repository
Step-by-step guide to cloning and building the ML.NET repository locally so you can start contributing bug fixes and features.
ML.NET Predictions on the Web in F# with the SAFE Stack
Build an F# web app with the SAFE Stack and serve ML.NET predictions from it, using F# on both the server and the client.
Participate in the 2020 Virtual ML.NET Hackathon
Join the 2020 Virtual ML.NET Hackathon: a free workshop on ML.NET basics, then a week to build or contribute to an open-source ML project.
ML.NET End-to-End: Build Model from Database Data
Build an ML.NET model end to end: write and read training data in Azure SQL, train the model, and save it to Azure Blob Storage for other apps.
Clustering in ML.NET
How to use k-means clustering in ML.NET to find groups in unlabeled data, with a complete C# example.
A Look at the New ML.NET API
Cross Validation in ML.NET
Create Your First Machine Learning Pipeline in ML.NET
mlnet-updates
What's New in the ML.NET CLI
What's new in the ML.NET CLI, including the new platform-specific install names and other updates.
What's New in ML.NET Version 1.6
Highlights of the ML.NET 1.6 release, with links to the pull requests behind each new feature. No breaking changes.
model-builder
What's New in the Model Builder Preview
A walkthrough of the new features in the ML.NET Model Builder preview, following the full flow from loading data to a trained model.
parquet
How to Handle Big Data Files in C# with Parquet.NET
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
podcast
Episode 3: June 2018
Episode 2: Build 2018
New Podcast
Episode 1
Podcasts Are Back...For Me, At Least
practice
10 Sites Where You Can Get Programming Practice
My Deliberate Practice Plan to Become a Better Programmer
Exercism F# Track Now Available
privacy
Data Anonymization
programming
Learning Math for Programming
10 Sites Where You Can Get Programming Practice
Consuming the Jamendo API with AngularJS: Services
Beginning Ruby for C# Developers
Code Katas Can Be Helpful
pycon
Top 10 Sessions at PyCon 2018
python
Book Review: Python Tricks
Review of Dan Bader's Python Tricks, with an example from each of its seven sections, from clean Python patterns to dictionaries and productivity.
Top 10 Sessions at PyCon 2018
Wintellect Data Science Blog Post Roundup
qna-maker
Introduction to QnA Maker
Turn an FAQ page into a chatbot knowledge base with Microsoft QnA Maker. Note: QnA Maker is retired in favor of Azure AI Language question answering.
regression
ML.NET End-to-End: Build Model from Database Data
Build an ML.NET model end to end: write and read training data in Azure SQL, train the model, and save it to Azure Blob Storage for other apps.
research
5 Best Places to Read Research Papers
research-paper
5 Best Places to Read Research Papers
Research Minute: Useful Things about Machine Learning
Why I'm Reading Research Papers
safe-stack
ML.NET Predictions on the Web in F# with the SAFE Stack
Build an F# web app with the SAFE Stack and serve ML.NET predictions from it, using F# on both the server and the client.
screencast
A Look at the New ML.NET API
A Quick Tour of Azure Databricks
Custom Vision: Using the Training SDK to Train an Updated Model
How to Read Azure Data Lake Storage in Azure Databricks
Getting Started with FloydHub
Predict Herbs in C# With the Custom Vision SDK
Cross Validation in ML.NET
Create Your First Machine Learning Pipeline in ML.NET
statistics
Bias in Machine Learning
testing
Using GIFs on Bug Reports
Watch How Your Users Use Your App
On Better Developer Testing
tools
File-Based Apps in .NET 10: C# Without the Ceremony
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
Using Draw.IO for Mockups
Introduction to Paket
top5
Top 5 YouTube Channels
Five YouTube channels I check regularly to learn new development topics, starting with Traversy Media.
Top 5 Machine Learning Books
The five machine learning books I recommend, from Hands-On Machine Learning to Deep Learning with Python, and what each one covers.
5 Books To Become a Better Software Developer
5 Best Places to Read Research Papers
topten
Top 10 Sessions at PyCon 2018
10 Sites Where You Can Get Programming Practice
video
5 Books To Become a Better Software Developer
Custom Vision: Using the Training SDK to Train an Updated Model
Getting Started with FloydHub
Predict Herbs in C# With the Custom Vision SDK
Create Your First Machine Learning Pipeline in ML.NET
webinar
Summer Webinar Marathon
wintellect
Wintellect Post Roundup
Wintellect Data Science Blog Post Roundup
New Wintellect Blog Posts
More Wintellect Blog Posts
Wintellect F# Blog Post Collection
First Wintellect Blog Post + A New Series On Design Patterns
work
Book Review: Deep Work
xamarin
New Wintellect Blog Posts
Xamarin Evolve 2016 Recap
Xamarin Evolve - Recap
Xamarin Evolve - Day 1 Summary
youtube
Top 5 YouTube Channels
Five YouTube channels I check regularly to learn new development topics, starting with Traversy Media.