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My previous post described how to build a neural network that serves as a binary classifier. Here’s a binary classifier that accepts two inputs, has a hidden layer with 128 neurons, and outputs a value from 0.0 to 1.0 representing the probability that the input belongs to the positive class: Key elements include an output…

One of the common uses for machine learning is performing binary classification, which looks at an input and predicts which of two possible classes it belongs to. Practical uses include sentiment analysis, spam detection, and credit-card fraud detection. Such models are trained with datasets labeled with 1s and 0s representing the two classes, employ popular…

Machine learning isn’t hard when you have a properly engineered dataset to work with. The reason it’s not hard is libraries such as Scikit-learn and ML.NET, which reduce complex mathematical manipulations to a few lines of code. Deep learning isn’t hard, either, thanks to libraries such as the Microsoft Cognitive Toolkit (CNTK), Theano, and PyTorch.…

Deep learning is a subset of machine learning that relies primarily on neural networks. Most of what’s considered AI today is accomplished with deep learning. From recognizing objects in photos to real-time speech translation to using computers to generate art, music, poetry, and photorealistic faces, deep learning allows computers to perform feats of magic that…

Scikit-learn is arguably the world’s most popular machine-learning framework. The efficacy of the library, the documentation that accompanies it, and the mindshare that surrounds it are the primary reasons more ML models are written in Python than any other language. But Scikit isn’t the only machine-learning framework. Others exist for other languages, and if you…

All of the machine-learning models presented so far in this series were written in Python. Models don’t have to be written in Python, but many are, thanks in part to the numerous world-class Python libraries that are available, including Pandas and Scikit-learn. ML models written in Python are easily consumed in Python apps. Calling them from…