EP-27 :How does machine learning algorithms helps UPIs like GPAY-PAYTM-AMAZON PAY ?
Episode 27 of the Tech Stories podcast, hosted by Amit Bhatt, titled "EP-27 :How does machine learning algorithms helps UPIs like GPAY-PAYTM-AMAZON PAY ?" was published on February 6, 2022 and runs 10 minutes.
February 6, 2022 ·10m · Tech Stories
Summary
In this episode I covered the USE CASE OF UPI- TRANSACTION What is Clustering? Clustering or cluster analysis is a machine learning technique, which groups the unlabelled dataset. It can be defined as "A way of grouping the data points into different clusters, consisting of similar data points K-means clustering is one of the simplest and popular unsupervised machine learning algorithms. ... In other words, the K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible. You can think of an N-gram as the sequence of N words, by that notion, a 2-gram (or bigram) is a two-word sequence of words like “please turn”, “turn your”, or ”your homework”, and a 3-gram (or trigram) is a three-word sequence of words like “please turn your”, or “turn your homework” check the episode on various platform https://www.instagram.com/podcasteramit Apple :https://podcasts.apple.com/us/podcast/id1544510362 Huhopper Platform :https://hubhopper.com/podcast/tech-stories/318515 Amazon: https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d Spotify :https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa
Episode Description
In this episode I covered the USE CASE OF UPI- TRANSACTION
What is Clustering?
Clustering or cluster analysis is a machine learning technique, which groups the unlabelled dataset. It can be defined as "A way of grouping the data points into different clusters, consisting of similar data points
K-means clustering is one of the simplest and popular unsupervised machine learning algorithms. ... In other words, the K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible.
You can think of an N-gram as the sequence of N words, by that notion, a 2-gram (or bigram) is a two-word sequence of words like “please turn”, “turn your”, or ”your homework”, and a 3-gram (or trigram) is a three-word sequence of words like “please turn your”, or “turn your homework”
- check the episode on various platform https://www.instagram.com/podcasteramit
- Apple :https://podcasts.apple.com/us/podcast/id1544510362
- Huhopper Platform :https://hubhopper.com/podcast/tech-stories/318515
- Amazon: https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d
- Spotify :https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa