In the series of implementing Recommendation engines, in my previous blog about recommendation system in R, I have explained about…
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Started Aug 25, 2014 0 Replies 0 Likes
I would like to know What is the importance understanding underlying data distributions in a dataset before applying any machine learning algorithm - it can be either prediction or classification…Continue
Tags: learning, machine, statistics
Started this discussion. Last reply by Edmund Freeman Mar 15, 2014. 2 Replies 0 Likes
Need advice Dear Community,I have a situation, where I need to classify items into groups (lets say 6). When I ran k-means 90% of my data fall in 1 group remaining 10% fall in other groups. What's…Continue
Tags: clustering
Posted on October 1, 2018 at 9:07am 0 Comments 0 Likes
We all know that deep learning algorithms improve the accuracy of AI applications to great extent. But this accuracy comes with requiring heavy computational processing units such as GPU for developing deep learning models. Many of the machine learning developers cannot afford GPU as they are very costly and find this as a roadblock for learning and developing Deep learning applications. To help the AI, machine learning developers Google has released…
Posted on November 7, 2017 at 6:30am 0 Comments 0 Likes
In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in information retrieval systems. Given a set of documents and search term(s)/query we need to retrieve relevant documents that are similar to the search query.
The problem statement explained above is represented as in below image. …
ContinuePosted on December 29, 2015 at 9:30am 1 Comment 0 Likes
As R programming language becoming popular more and more among data science group, industries, researchers, companies embracing R, going forward I will be writing posts on learning Data science using R. The tutorial course will include topics on data types of R, handling data using R, probability theory, Machine Learning, Supervised – unSupervised learning, Data Visualization using R, etc. Before going further, let’s just see some stats and tidbits on data science and…
ContinuePosted on November 23, 2015 at 7:04pm 0 Comments 0 Likes
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