📌 Learnings from a Machine Learning Engineer — Part 4: The Model

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 8 min read

In this latest part of my series, I will share what I have learned on…

📌 Learnings from a Machine Learning Engineer — Part 2: The Data Sets

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 10 min read

In Part 1, we discussed the importance of collecting good image data and assigning proper labels…

🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

📌 Machine Learning Meets Panel Data: What Practitioners Need to Know

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-17 | ⏱️ Read time: 8 min read

How to avoid overestimating machine learning models’ performance, usefulness, and real-world applicability due to hidden…

📌 How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch

🗂 Category: DEEP LEARNING

🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read

A step-by-step introduction to understanding cancer from the perspective of a data scientist.

📌 How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

🗂 Category: PROJECT MANAGEMENT

🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read

How data science can help project managers anticipate risks and save time

📌 Statistical Method mcRigor Enhances the Rigor of Metacell Partitioning in Single-Cell Data Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2025-10-17 | ⏱️ Read time: 6 min read

mcRigor detects dubious metacells within each metacell partition and selects the optimal metacell partitioning method…

📌 TDS Newsletter: The Rapid Transformation of Data Science in the Age of AI

🗂 Category: THE VARIABLE

🕒 Date: 2025-10-16 | ⏱️ Read time: 3 min read

How data science became a strikingly different discipline in the span of a couple of…

📌 TDS Newsletter: How to Keep LLMs Effective and Reliable Over Time

🗂 Category: THE VARIABLE

🕒 Date: 2025-10-09 | ⏱️ Read time: 4 min read

Those of you who’ve worked with LLM-powered applications know this: by now, building and deploying these tools…

📌 How Do Computers Actually Compute?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 10 min read

A Budding Data Scientist’s Introduction to Computer Hardware

📌 Deploy a LightGBM ML Model With GitHub Actions

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 9 min read

A beginner’s guide to getting out of Jupyter notebooks and deploying ML models

📌 Building LLM Apps: A Clear Step-By-Step Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 14 min read

Comprehensive Steps for Building LLM-Native Apps: From Initial Idea to Experimentation, Evaluation, and Productization

📌 From Masked Image Modeling to Autoregressive Image Modeling

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-10 | ⏱️ Read time: 5 min read

A brief review of the image foundation model pre-training objectives

📌 It’s Time to Finally Memorize those Dang Classification Metrics!

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 11 min read

Intuition behind the metrics and how I finally memorized them

📌 How LLMs Will Democratize Exploratory Data Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 19 min read

Or, When you feel your life’s too hard, just go have a talk with Claude

📌 Pandas Indexes And Headers, Have You Ever Been Confused?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 8 min read

From single-level index and headers to multi-level, why and how?

📌 Hands On Optimization with Expected Improvement and Gaussian Process Regression, in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-09 | ⏱️ Read time: 12 min read

A friendly guide to Expected Improvement for Global Optimization, in Python

📌 Here is what using an LLM for monsters taught me about programming

🗂 Category: PROGRAMMING

🕒 Date: 2024-06-09 | ⏱️ Read time: 9 min read

How I learned to use AI as an alternative to generate amazing random data.

📌 What “Dream Big” Meant for Data Science Innovation at LinkedIn

🗂 Category: BUSINESS

🕒 Date: 2024-06-09 | ⏱️ Read time: 10 min read

Here’s how to inspire and lead people for bigger data science projects