When determining what learning approach a machine learning solution will perform, designers are stepping an extremely thin line when they stop being impartial and start automating their own biases.
Anyone knows a tool, method, development method which might be used proactively to avoid the automation of Bias when developing intelligent algorithms?
01 January 1970 4,877 8 View
What Characteristics makes CNN work better?
03 March 2021 1,458 4 View
i would to know some of the research gaps in the artificial intelligence field in most african countries.
03 March 2021 6,145 3 View
I have selected brain tumor images ...but now found that already lots of research done n this topic.
03 March 2021 5,774 3 View
dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...
03 March 2021 6,994 5 View
I have an input video, of skin (from a microscope that means it is magnified such that blood capillaries are visible). The idea is to extract 15 sec of continuous frames from a video of 1 min,...
02 March 2021 2,735 2 View
I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.
02 March 2021 1,516 4 View
NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...
01 March 2021 1,189 3 View
L1 and L2 regularization
28 February 2021 4,187 3 View
The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...
28 February 2021 6,560 14 View
For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...
28 February 2021 1,556 6 View