Machine learning: Python's code can implement machine learning, which helps refine algorithm-based tech from voice recognition to content recommendation.

Creating a new notebook Once you have Jupyter installed, you can begin training your machine learning algorithm. Start by creating a new notebook. To create a new notebook, select the folder where you ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Scikit-learn is a library with many uses, such as for classical machine learning algorithms, like those for spam detection, image recognition, prognostication, and customer segmentation.

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

Faster machine learning with scikit-learn key algorithms accelerated with Intel DAAL TensorFlow* and Caffe* libraries optimized for Intel architecture (now available on the Intel channel at ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.