Santhoshkumar S., M.S(SE).,Ph.D

Santhoshkumar S., M.S(SE).,Ph.D

A researcher, developer, and writer

Posts by Tags

AEM

Data Collection into Google Drive

less than 1 minute read

Published:

Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post

Data Science

Performance Metrics in Machine Learning – Part 2

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.

Performance Metrics in Machine Learning – Part 1

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post

Data Collection into Google Drive

less than 1 minute read

Published:

Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post

Supervised learning: Linear Regression

less than 1 minute read

Published:

Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post

Data Wrangling

Data Collection into Google Drive

less than 1 minute read

Published:

Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post

Deep Learning

Performance Metrics in Machine Learning – Part 1

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post

Linear Regression

Supervised learning: Linear Regression

less than 1 minute read

Published:

Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post

Machine Learning

Performance Metrics in Machine Learning – Part 2

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.

Supervised learning: Linear Regression

less than 1 minute read

Published:

Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post

Performance measures

Performance Metrics in Machine Learning – Part 2

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.

Theano

Performance Metrics in Machine Learning – Part 1

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post