Regularization in Machine Learning
  • By hjoshi@jamesknows.com
  • June 1, 2024
  • Machine Learning

Regularization in Machine Learning Regularization in machine learning is a set of techniques used to prevent overfitting and improve the generalization capability of a model. Overfitting occurs when a model…

K-Folds Cross-Validation in Machine Learning
  • By hjoshi@jamesknows.com
  • April 16, 2024
  • Machine Learning

K-Folds Cross-Validation in Machine Learning Discover the robustness of K-Folds Cross-Validation in Machine Learning. Learn how this technique optimizes model performance by dividing data into K subsets for comprehensive validation.…

Machine Learning Models For Business
  • By hjoshi@jamesknows.com
  • February 12, 2024
  • Machine Learning

Machine Learning Models For Business Machine learning (ML), a transformative branch of artificial intelligence, empowers computers to learn from data and improve their performance without explicit programming. It revolves around…

Machine Learning For Fraud Detection
  • By hjoshi@jamesknows.com
  • February 7, 2024
  • Machine Learning

Machine Learning For Fraud Detection Machine learning (ML) classes in Pune related to fraud detection systems rely on ML algorithms, which can be trained on historical data on past fraudulent…

Top Machine Learning Trends To Follow in 2024
  • By hjoshi@jamesknows.com
  • January 12, 2024
  • Machine Learning

Top Machine Learning Trends To Follow in 2024 A branch of computer science and artificial intelligence (AI), the Machine learning course in Pune uses data and algorithms to mimic human…

CHI-SQUARE TEST For Machine Learning and Data Analytics
  • By hjoshi@jamesknows.com
  • October 6, 2023
  • Machine Learning

CHI-SQUARE TEST For Machine Learning and Data Analytics   Chi-Square Test for Machine Learning and Data Analytics.   ▪ The most popular measure to test for an association between two categorical data…

Introduction to Convolution Neural Network
  • By hjoshi@jamesknows.com
  • August 14, 2023
  • Machine Learning

Introduction to Convolution Neural Network Convolutional neural network (ConvNet) is a type of artificial neural network commonly used in deep learning. It is specifically designed to process data with a…

What is Reinforcement Learning? How it Works
  • By hjoshi@jamesknows.com
  • July 1, 2023
  • Machine Learning

What is Reinforcement Learning? How it Works What is Reinforcement Learning? How it Works is an exciting field of artificial intelligence that empowers machines to learn through interaction with their…

Time Series Forecasting with Machine Learning
  • By hjoshi@jamesknows.com
  • June 9, 2023
  • Machine Learning

Time Series Forecasting with Machine Learning   Time Series Forecasting with Machine Learning is a powerful technique that enables us to  analyze historical patterns and make predictions about the future…

Embedded Machine Learning
  • By dkakade@sevenmentor.com
  • June 8, 2023
  • Machine LearningUncategorized

Embedded Machine Learning What is Embedded Machine Learning? Embedded machine learning (EML) is the application of machine learning (ML) to embedded systems. Embedded systems are typically small, resource-constrained devices that…

ASSESSING THE PERFORMANCE OF CLASSIFIER IN MACHINE LEARNING 
  • By hjoshi@jamesknows.com
  • May 26, 2023
  • Machine Learning

ASSESSING THE PERFORMANCE OF CLASSIFIER IN MACHINE LEARNING  This blog deals with ASSESSING THE PERFORMANCE OF CLASSIFIER IN MACHINE LEARNING speculating the performance of a classifier using a confusion matrix. It…