Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data. The course is lead by Francesco Mosconi. Ph.D. in Physics and ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

A lot of software developers are drawn to Python due to its vast collection of open-source libraries. Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML) and ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

Arguably the most powerful binary classification technique is a neural network model. There are several tools and code libraries that you can use to create a neural network classifier. The ...

Major tech companies have actively reoriented themselves around AI and machine learning: Google is now “AI-first,” Uber has ML running through its veins and internal AI research labs keep popping up.