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Tag: regularization

Top Free Data Science Online Courses for 2024 – KDnuggets

Image by Author  We’re 3 months into the new year. Wow, time is going by fast. With that being said, how many of you...

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What is Ridge Regression? [Updated]

Table of contents Contributed by: Prashanth Ashok Ridge regression is a model-tuning method that is used to analyze any data that suffers from multicollinearity. This method...

5 Free University Courses to Learn Data Science – KDnuggets

Image generated with Segmind SSD-1B model  Skilled data professionals are continuing to be in high demand. So it’s a great time to break into...

Supercharge Your AI with HuggingGPT

Introduction Artificial Intelligence (AI) has revolutionized various industries, enabling machines to perform complex tasks that were once considered exclusive to human intelligence. One of the...

What is MobileNetV2? Features, Architecture, Application and More

Introduction When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a...

What is Adam Optimizer and How to Tune its Parameters in PyTorch

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and...

Free Harvard Course: Introduction to AI with Python – KDnuggets

Image from Author  One of the biggest problems that beginners face when trying to learn artificial intelligence is choosing the best resource. Because there...

WTF is the Difference Between GBM and XGBoost? – KDnuggets

Image by upklyak on Freepik  I am sure everyone knows about the algorithms GBM and XGBoost. They are go-to algorithms for many real-world use...

10 GitHub Repositories to Master Machine Learning – KDnuggets

Image generated with DALLE-3  Mastering machine learning (ML) may seem overwhelming, but with the right resources, it can be much more manageable. GitHub, the...

Exploring Pointwise Convolution in CNNs: Replacing Fully Connected Layers

Introduction Convolutional Neural Networks (CNNs) have been key players in understanding images and patterns, transforming the landscape of deep learning. The journey began with Yan...

5 Free Courses to Master Machine Learning – KDnuggets

Image generated with DALLE-3  Machine learning is becoming increasingly popular in the data space. But there’s often a notion that to become a machine...

Mastering LeNet: Architectural Insights and Practical Implementation

Introduction LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and...

Hyperparameter Tuning: GridSearchCV and RandomizedSearchCV, Explained – KDnuggets

Image by Author  Every machine learning model that you train has a set of parameters or model coefficients. The goal of the machine learning...

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