Machine Learning

Bias in Machine Learning – Examples & Solutions

Machine learning algorithms are often mistaken as objective analytics and decision-making solutions to human inefficiencies. Paradoxically, humans often make machine learning algorithms inefficient by way of biases. These biases include sample bias, reporting bias, prejudice bias, confirmation bias, group attribution bias, algorithm bias, measurement bias, recall bias, exclusion bias, and automation bias. Machine learning is …

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Classify Handwritten-Digits With Tensorflow

Can a machine classify handwritten digits better than the human brain? Let’s see if Convolutional Neural Networks can give us some insight into this matter, then we’ll let you be the judge. To add some context for Convolutional Neural Networks, we’ll begin the tutorial with a practical example of a neural network. A Convolutional Neural …

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