machine learning Resources

Related resources for machine learning

AI-Powered Education on Azure: Personalised Learning and Academic Analytics
Allen Oneill
2d
AI Agents in Practice: Fraud Detection & Prevention Agent (Prompts + Code)
John Godel
4d
Trackio by Gradio – Open-Source AI Experiment Tracking & Visualization Tool
Rohit Gupta
5d
TensorFlow: The Scalable Framework Driving Modern Machine Learning
Deepika Sawant
1w
A Strategic Overview of Azure Cognitive Services
Deepika Sawant
1w
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
John Godel
1w
Artificial Intelligence: Rise of the AI-Centric Economy - Its Future and Its Components
John Godel
1w
Meta Pays $1.5 Billion Package For AI Talent
Mahesh Chand
1w
LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance
John Godel
1w
Matrix Multiplication in Python
Aarav Patel
2w
Artificial Intelligence: From Rules to Self-Monitoring Cognition: The Seven Levels of AI Adaptability
John Godel
2w
Neural Networks for Beginners - Understanding the Foundation
Arjun Karthikeyan S
2w
AI vs. ML: Untangling the Confusion
Rajkumar Jain
2w
How We Built an AI-Powered Skin Analyzer with Media Pipe and GPT-4o
Amit Mohanty
3w
What Is Machine Learning Observability?
Riya Patel
3w
The Rise of Adaptive Software: Applications That Learn You
Manav Pandya
3w
Artificial Intelligence at the Center Stage: From Hype to Everyday Utility
John Godel
3w
Best Practices for Prompt Engineering in Data Science
Riya Patel
3w
Ray Serve and Gradio Integration Tutorial for AI Model Deployment
Rohit Gupta
4w
How can you start a beginner AI project in Python?
Avnii Thakur
4w
Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous Coders
John Godel
4w
🎯 Fine-Tuning in Deep Learning
Avnii Thakur
Sep 24
What is hyperparameter tuning in ML?
Avnii Thakur
Sep 24
🤖 Shallow vs Deep Neural Networks: Key Differences Explained
Vijay Kumari
Sep 24
📈 ROC Curve vs AUC Score: Key Concepts in Machine Learning
Vijay Kumari
Sep 23
📘 Gradient Descent in Machine Learning: A Beginner’s Guide
Avnii Thakur
Sep 23
📊 Understanding Logistic Regression: How It Works in Machine Learning
Avnii Thakur
Sep 23
What is the role of StandardScaler in ML preprocessing?
Avnii Thakur
Sep 23
📘 NumPy Arrays vs Pandas DataFrames: Key Differences Explained
Avnii Thakur
Sep 23
📊 How to Normalize Data in Python
Avnii Thakur
Sep 22
The Fascinating History of AI: From Turing to Today
Rikam Palkar
Sep 22
Generative AI: Architectures, Applications, and the Future of Human–Machine Creativity
John Godel
Sep 20
AI-Powered Climate Modelling on Azure: Scaling Research for a Changing Planet
Allen Oneill
Sep 19
🤖 Machine Learning: Teaching Machines to Learn from Data
Asfaque Ansari
Sep 19
🤖 Artificial Intelligence (AI): Shaping the Future of Technology
Asfaque Ansari
Sep 19
Foundation Models: Everything, Everywhere, All at Once!
Rikam Palkar
Sep 18
The ABCs of Deep Learning
Rikam Palkar
Sep 18
The ABCs of Machine Learning
Rikam Palkar
Sep 18
Layers of Artificial Intelligence
Rikam Palkar
Sep 18
What is a Support Vector Machine (SVM)?
Avnii Thakur
Sep 18
How to Monitor and Retrain Machine Learning Models Effectively
Saurav Kumar
Sep 18
Why Python Is So Popular for AI
Mahesh Chand
Sep 17
📘 Understanding the k-Nearest Neighbors (KNN) Algorithm in Machine Learning
Avnii Thakur
Sep 17
Understanding Principal Component Analysis (PCA) in Machine Learning
Avnii Thakur
Sep 17
What are decision trees in ML?
Avnii Thakur
Sep 17
Gradio vs Streamlit: Which One Should You Use?
Jayant Kumar
Sep 17
What is Sentiment Analysis?
Avnii Thakur
Sep 16
💼 Top Future Career Opportunities in AI & ML
Avnii Thakur
Sep 16
What Is a Feature Store?
Riya Patel
Sep 15
Jupyter Notebooks in Production
Riya Patel
Sep 15
AI in Financial Services on Azure: Risk Modelling and Fraud Detection at Scale
Allen Oneill
Sep 12
What is LLMOps, and how is it different from MLOps?
Riya Patel
Sep 12
Difference Between MLE, Data Scientist, and Data Engineer
Riya Patel
Sep 12
How to use NumPy in Python
Rohit Gupta
Sep 11
How much Python is required for Data Science?
Riya Patel
Sep 09
Python Gradio: An essential tool for AI/ML testing
Jayant Kumar
Sep 08
Hybrid AI Architectures: Combining On-Premises and Cloud with Azure AI
Allen Oneill
Sep 05
Artificial Intelligence Interview Questions and Answers (2025 Edition)
John Godel
Sep 05
Artificial Intelligence: AI-First Data Modeling for Health Care: From EHR Tables to Learning, Patient-Safe Systems
John Godel
Sep 05
What is AI washing?
Vijay Kumari
Aug 27
🤖 Machine Learning: Shaping the Future of Technology
Asfaque Ansari
Aug 26
Fake Review Detection
Gaurav Kumar
Aug 25
Artificial Intelligence: Transforming Life, Work, and Future
Asfaque Ansari
Aug 25
The Evolving Data Science Career: A 2025 Perspective.
Chirag Tankan
Aug 18
Advantages of AlpineGate Technologies' Generative Self-Trainable Transformer Architecture (GST-AGPT)
John Godel
Aug 16
Exploring the Multi-Faceted Architecture of AlbertAGPT: A Paradigm of Secure and Reliable AI
John Godel
Aug 16
Generative AI : Transforming Industries, Benefits, and Challenges
Bharat Chaudhary
Aug 14
How is AI used in Climate Change Mitigation?
Vijay Kumari
Aug 13
How does AI assist in Business Transformation?
Vijay Kumari
Aug 13
What does AI‑driven robotics look like?
Vijay Kumari
Aug 13
What About AI in Cybersecurity?
Vijay Kumari
Aug 12
How is AI used in Predictive Maintenance for Manufacturing?
Vijay Kumari
Aug 12
Building a Smart CV Checker: My Journey with React and AI
Gourav Jain
Aug 12
How does AI impact finance and fraud detection?
Vijay Kumari
Aug 11
The Revolution of Artificial Intelligence and Machine Learning in Today's World
Bharat Chaudhary
Aug 08
What is the bias–variance tradeoff?
Vijay Kumari
Aug 08
What is Reinforcement Learning?
Vijay Kumari
Aug 08
GenAI Explained: How Does It Actually Work? - Part 2
Gourav Jain
Aug 08
What's the difference between AI, Machine Learning (ML), and Deep Learning (DL)?
Vijay Kumari
Aug 07
Integrating Fairness Metrics in Machine Learning with Fairlearn and Azure ML
Indirakumar Rajendiran
Aug 07
How Does GSCP Handle Conflicting Information from Different Sources?
John Godel
Aug 06
What is artificial intelligence (AI)?
Vijay Kumari
Aug 06
Combining Supervised & Unsupervised Learning: Hybrid Strategies for Powerful AI 🤝⚙️
Mahesh Chand
Aug 04
Mastering Rust: From Core Concepts to AI-Enhanced Development
Deepika Sawant
Aug 04
The AI-Driven Data Scientist: Optimize, Innovate, Transform
Deepika Sawant
Aug 04
Mastering Machine Learning with Scikit-Learn
Deepika Sawant
Aug 04
Top Algorithms in Supervised vs. Unsupervised Learning
Mahesh Chand
Aug 04
When to Use Supervised vs. Unsupervised Learning
Mahesh Chand
Aug 04
AI-Powered Business Analysis: Smarter Strategies, Deeper Insights
Deepika Sawant
Jul 31
Federated Learning Explained: Keep Private Data Private While Training Powerful Models
Kautilya Utkarsh
Jul 29
What are Generative AI Key Components
Pankaj Singh
Jul 28
What is Generative AI?
Mahesh Chand
Jul 28
Scaffolded Intelligence: Enhancing Reciprocal Human–Machine Learning Through Gödel’s GSCP Framework
John Godel
Jul 26
What Is Reciprocal Human‑Machine Learning (RHML)
Kautilya Utkarsh
Jul 25
What Is Open‑World Machine Learning?
Kautilya Utkarsh
Jul 24
What is Self‑Supervised Learning?
Kautilya Utkarsh
Jul 23
What is AutoML and Why is it Important?
Kautilya Utkarsh
Jul 23
How will AI Impact Cybersecurity in 2025?
Vaishali Vishwakarma
Jul 23
Evolution of AI
Suryansh Shukla
Jul 23
CRISPR and ML Driving the Future of Genetic Innovation
Yash Rajora
Jul 22

Topics

AI-Powered Education on Azure: Personalised Learning and Academic Analytics

AI Agents in Practice: Fraud Detection & Prevention Agent (Prompts + Code)

Trackio by Gradio – Open-Source AI Experiment Tracking & Visualization Tool

TensorFlow: The Scalable Framework Driving Modern Machine Learning

A Strategic Overview of Azure Cognitive Services

Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really

Artificial Intelligence: Rise of the AI-Centric Economy - Its Future and Its Components

Meta Pays $1.5 Billion Package For AI Talent

LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance

Matrix Multiplication in Python

Artificial Intelligence: From Rules to Self-Monitoring Cognition: The Seven Levels of AI Adaptability

Neural Networks for Beginners - Understanding the Foundation

AI vs. ML: Untangling the Confusion

How We Built an AI-Powered Skin Analyzer with Media Pipe and GPT-4o

What Is Machine Learning Observability?

The Rise of Adaptive Software: Applications That Learn You

Artificial Intelligence at the Center Stage: From Hype to Everyday Utility

Best Practices for Prompt Engineering in Data Science

Ray Serve and Gradio Integration Tutorial for AI Model Deployment

How can you start a beginner AI project in Python?

Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous Coders

🎯 Fine-Tuning in Deep Learning

What is hyperparameter tuning in ML?

🤖 Shallow vs Deep Neural Networks: Key Differences Explained

📈 ROC Curve vs AUC Score: Key Concepts in Machine Learning

📘 Gradient Descent in Machine Learning: A Beginner’s Guide

📊 Understanding Logistic Regression: How It Works in Machine Learning

What is the role of StandardScaler in ML preprocessing?

📘 NumPy Arrays vs Pandas DataFrames: Key Differences Explained

📊 How to Normalize Data in Python

The Fascinating History of AI: From Turing to Today

Generative AI: Architectures, Applications, and the Future of Human–Machine Creativity

AI-Powered Climate Modelling on Azure: Scaling Research for a Changing Planet

🤖 Machine Learning: Teaching Machines to Learn from Data

🤖 Artificial Intelligence (AI): Shaping the Future of Technology

Foundation Models: Everything, Everywhere, All at Once!

The ABCs of Deep Learning

The ABCs of Machine Learning

Layers of Artificial Intelligence

What is a Support Vector Machine (SVM)?

How to Monitor and Retrain Machine Learning Models Effectively

Why Python Is So Popular for AI

📘 Understanding the k-Nearest Neighbors (KNN) Algorithm in Machine Learning

Understanding Principal Component Analysis (PCA) in Machine Learning

What are decision trees in ML?

Gradio vs Streamlit: Which One Should You Use?

What is Sentiment Analysis?

💼 Top Future Career Opportunities in AI & ML

What Is a Feature Store?

Jupyter Notebooks in Production

AI in Financial Services on Azure: Risk Modelling and Fraud Detection at Scale

What is LLMOps, and how is it different from MLOps?

Difference Between MLE, Data Scientist, and Data Engineer

How to use NumPy in Python

How much Python is required for Data Science?

Python Gradio: An essential tool for AI/ML testing

Hybrid AI Architectures: Combining On-Premises and Cloud with Azure AI

Artificial Intelligence Interview Questions and Answers (2025 Edition)

Artificial Intelligence: AI-First Data Modeling for Health Care: From EHR Tables to Learning, Patient-Safe Systems

What is AI washing?

🤖 Machine Learning: Shaping the Future of Technology

Fake Review Detection

Artificial Intelligence: Transforming Life, Work, and Future

The Evolving Data Science Career: A 2025 Perspective.

Advantages of AlpineGate Technologies' Generative Self-Trainable Transformer Architecture (GST-AGPT)

Exploring the Multi-Faceted Architecture of AlbertAGPT: A Paradigm of Secure and Reliable AI

Generative AI : Transforming Industries, Benefits, and Challenges

How is AI used in Climate Change Mitigation?

How does AI assist in Business Transformation?

What does AI‑driven robotics look like?

What About AI in Cybersecurity?

How is AI used in Predictive Maintenance for Manufacturing?

Building a Smart CV Checker: My Journey with React and AI

How does AI impact finance and fraud detection?

The Revolution of Artificial Intelligence and Machine Learning in Today's World

What is the bias–variance tradeoff?

What is Reinforcement Learning?

GenAI Explained: How Does It Actually Work? - Part 2

What's the difference between AI, Machine Learning (ML), and Deep Learning (DL)?