Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...

Within each content area, there are one or more tutorials. Each tutorial consists of lessons. Each lesson should be a page detailing the concept being taught, along with sample code. Lesson and page ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Tony Robbins launches an AI-powered coaching app that mirrors his voice and strategies, making elite personal coaching ...

Progress at your own pace through Python, Pandas, Databricks and more in these seven comprehensive courses.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

An initiative of the Ministry of Education, SWAYAM allows students, professionals, among others, to upskill, reskill and ...

DevOps success depends on culture, reliability, and systems thinking beyond tools.Books help explain long-term practices that ...

Skild AI raised $1.4 billion in a SoftBank-led round, valuing it at $14 billion as it builds a unified “brain” to run ...

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...