IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 8 Issue 4 Computer Science and Engineering English July - August 2020 N N Y 2020 08 17 Computer Sciences Handwritten Digit Recognition Using Various Machine Learning Algorithms and Models English Y 337 340 Pranit Patil English Y Bhupinder Kaur English N https://doi.org/10.21276/ijircst.2020.8.4.16 Handwritten digit recognition is a technique or technology for automatically recognizing and detecting handwritten digital data through different Machine Learning models. In this paper we use various Machine Learning algorithms to enhance the productiveness of technique and reduce the complexity using various models. Machine Learning is an application of Artificial Intelligence that learns from previous experience and improves automatically through experience. We illustrate various Machine learning algorithms such as Support Vector Machine, Convolutional Neural Network, Quantum Computing, K-Nearest Neighbor Algorithm, Deep Learning used in Recognition technique. English Convolutional Neural Network, Support Vector Machine, HandWritten Digit Recognition, Artificial Intelligence, Deep Learning. https://ijircst.org/abstract.php?article_id=539