ELU activation: A comprehensive analysis
Through various experiments, ELU is accepted by many researchers as a good successor of the original version (ReLU). Continue reading ELU activation: A comprehensive analysis
Tag: Disadvantages
Logistic Regression: Advantages and Disadvantages
In the previous blogs, we have discussed Logistic Regression and its assumptions. Today, the main topic is the theoretical and empirical goods and bads of this model. Continue reading Logistic Regression: Advantages and Disadvantages
Rectifier Linear Unit (ReLU)
Despise its simplicity, ReLU previously achieved the top performance over various tasks of modern Machine Learning. Continue reading Rectifier Linear Unit (ReLU)
Sigmoid, tanh activations and their loss of popularity
The sigmoid and tanh activation functions were very frequently used in the past but have been losing popularity in the era of Deep learning. Continue reading Sigmoid, tanh activations and their loss of popularity
Naive Bayes classifier: a comprehensive guide
In this blog post, we show and explain the Bayes formula, how to build a Naive Bayes classifier, its assumptions, strengths, and weakness. Continue reading Naive Bayes classifier: a comprehensive guide
How Intelligent systems damage the data
Applications, such as using Machine Learning to boost the recruitment process, may bring more harm than good. Continue reading How Intelligent systems damage the data
Disadvantages of Linear Regression
If you are considering using Linear regression for your production pipeline, you should be aware of its 4 drawbacks. Continue reading Disadvantages of Linear Regression