Machine Learning : Unsupervised – k-means Clustering and Bootstrapping
This article is in continuation to our previous topic ‘Unsupervised Machine Learning’. Today I’m giving you another powerful tool on this topic named ‘k means Clu...
Home » You searched for 10
Search Results for: 10
How Cloud Computing Technology Helps in Big Data Analysis?
Do you know that the global business community will be spending $310 billion on the Internet of Things (IoT) by 2020? Isn’t it a huge investment! Why is this trend boom...
Python: Implementing a k-means algorithm with sklearn
Originally posted by Michael Grogan. The below is an example of how sklearn in Python can be used to develop a k-means clustering algorithm. The purpose of k-means cl...
Predicting Hotel Cancellations with Support Vector Machines and SARIMA
This is Part 1 of a three part study on predicting hotel cancellations with machine learning. Originally posted by Michael Grogan. Logistic Regression and SVM Hotel can...
2020 Forecast: Turning IT into a Profit Center
Data is a unique economic asset; it never depletes, never wears out and can be used across an unlimited number of use cases at near zero marginal cost. Data in the hands ...
How to Leverage Model-Driven Architecture for Better Application?
Designing an application is not a child’s play in any sense and developing an enhanced user experience for the same is quite a task at hand. For this matter, there ...
Resampling Methods: Bootstrap vs jackknife
Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It’s used when: You ...
AIOT Summit – Personal Invitation
Dear colleague, I would like to personally invite you to attend a unique and interesting conference: AIoT Dev Summit which I believe is an exciting step forward in Data S...
Top 6 AI Companies to Start Your ML Project
There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentio...
Understanding Dataflow graphs in TensorFlow
In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between ...