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Machine Learning

Machine Learning

@machinelearning9

Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

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Post #5603 1.31K
📌 How to Build Agentic RAG with Hybrid Search

🗂 Category: RAG

🕒 Date: 2026-03-13 | ⏱️ Read time: 7 min read

Learn how to build a powerful agentic RAG system

#DataScience #AI #Python
Post #5602 1.38K
📌 A Tale of Two Variances: Why NumPy and Pandas Give Different Answers

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-13 | ⏱️ Read time: 7 min read

Imagine you are analyzing a small dataset: You want to calculate some summary statistics to…

#DataScience #AI #Python
Post #5601 1.31K
📌 I Finally Built My First AI App (And It Wasn’t What I Expected)

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-03-12 | ⏱️ Read time: 14 min read

A beginner-friendly walkthrough of API calls, environment variables, and real-world AI infrastructure

#DataScience #AI #Python
  • ❤ 1
Post #5600 1.3K
📌 Scaling Vector Search: Comparing Quantization and Matryoshka Embeddings for 80% Cost Reduction

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-03-12 | ⏱️ Read time: 11 min read

Navigating the performance cliff: How pairing MRL with int8 and binary quantization balances infrastructure costs…

#DataScience #AI #Python
Post #5599 1.23K
📌 Solving the Human Training Data Problem

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-03-12 | ⏱️ Read time: 18 min read

How AI has completely transformed the way I study as a graduate student

#DataScience #AI #Python
Post #5597 983

Forwarded from Machine Learning with Python

Machine Learning in python.pdf1 MB
Machine Learning in Python (Course Notes)

I just went through an amazing resource on #MachineLearning in #Python by 365 Data Science, and I had to share the key takeaways with you!

Here’s what you’ll learn:

🔘 Linear Regression - The foundation of predictive modeling

🔘 Logistic Regression - Predicting probabilities and classifications

🔘 Clustering (K-Means, Hierarchical) - Making sense of unstructured data

🔘 Overfitting vs. Underfitting - The balancing act every ML engineer must master

🔘 OLS, R-squared, F-test - Key metrics to evaluate your models

https://t.me/CodeProgrammer || Share 🌐 and Like 👍
  • 👍 1
Post #5596 1.27K
📌 Exploratory Data Analysis for Credit Scoring with Python

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-12 | ⏱️ Read time: 16 min read

Understanding default risk through statistical analysis of borrower and loan characteristics.

#DataScience #AI #Python
Post #5595 1.39K
📌 Why Most A/B Tests Are Lying to You

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read

The 4 statistical sins that invalidate most A/B tests, plus a pre-test checklist and Bayesian…

#DataScience #AI #Python
Post #5594 1.32K
📌 Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-03-11 | ⏱️ Read time: 10 min read

Understanding why spectral clustering outperforms K-means

#DataScience #AI #Python
  • ❤ 2
Post #5593 1.29K
📌 An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm

🗂 Category: MATH

🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read

Tired of the AI hype? Let’s talk about the probabilistic algorithms actually driving high-end quantitative…

#DataScience #AI #Python
Post #5592 1.34K
📌 How the Fourier Transform Converts Sound Into Frequencies

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-03-11 | ⏱️ Read time: 26 min read

A visual, intuition-first guide to understanding what the math is really doing — from winding…

#DataScience #AI #Python
  • ❤ 1
Post #5590 1.02K

Forwarded from Machine Learning with Python

🎁 23 Years of SPOTO – Claim Your Free IT Certs Prep Kit!

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⏰Last Chance – Get It Before It’s Gone!
  • ❤ 1
Post #5589 1.25K
📌 When Data Lies: Finding Optimal Strategies for Penalty Kicks with Game Theory

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-10 | ⏱️ Read time: 9 min read

A data-driven introduction to game theory, Nash equilibrium, and strategic decision-making

#DataScience #AI #Python
Post #5588 1.17K
📌 Hybrid Neuro-Symbolic Fraud Detection: Guiding Neural Networks with Domain Rules

🗂 Category: DEEP LEARNING

🕒 Date: 2026-03-10 | ⏱️ Read time: 14 min read

I really thought I was onto something big: add a couple of simple domain rules…

#DataScience #AI #Python
  • ❤ 1
Post #5587 866

Forwarded from Machine Learning with Python

🗂 A fresh deep learning course from MIT is now publicly available

A full-fledged educational course has been published on the university's website: 24 lectures, practical assignments, homework, and a collection of materials for self-study.

The program includes modern neural network architectures, generative models, transformers, inference, and other key topics.

➡️ Link to the course

tags: #Python #DataScience #DeepLearning #AI
  • ❤ 2
Post #5586 1.2K
📌 What Are Agent Skills Beyond Claude?

🗂 Category: AGENTIC AI

🕒 Date: 2026-03-10 | ⏱️ Read time: 6 min read

How to design and implement agent skills for custom agents outside the Claude ecosystem

#DataScience #AI #Python
Post #5585 1.31K
📌 Building a Like-for-Like solution for Stores in Power BI

🗂 Category: DATA ANALYSIS

🕒 Date: 2026-03-10 | ⏱️ Read time: 10 min read

Like-for-Like (L4L) solutions are essential for comparing elements. It’s about comparing only comparable elements, in…

#DataScience #AI #Python
Post #5584 1.33K
📌 I Stole a Wall Street Trick to Solve a Google Trends Data Problem

🗂 Category: DATA SCIENCE

🕒 Date: 2026-03-09 | ⏱️ Read time: 14 min read

A methodology for comparing Google Trends data across countries.

#DataScience #AI #Python
  • ❤ 1
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