IITs now offer various programs that do not require JEE scores, such as executive robotics (IIT Delhi), genetic engineering (IIT Guwahati), engineering mathematics (IIT Kharagpur), thermodynamics (IIT ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...
Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
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5 powerful Python one-liners that will make you a better coder
Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Abstract: Time-series classification for anomaly detection in calibrating aircraft sensors is crucial to ensuring aviation security. Nevertheless, the lengthy temporal span of sensor data causes ...
But, both of these would require large structural changes for a course that teaches hundreds of students a year — something that can’t really happen in the near term. What could happen now, though, is ...
An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis
Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
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