Author: Jason Brownlee Deep learning neural networks are generally opaque, meaning that although they can make useful and skillful predictions, it is not clear how […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Vincent Granville This crash course features a new fundamental statistics theorem — even more important than the central limit theorem — and a new […] Read More
Author: Microsoft Launches a Drag-and-Drop Machine Learning Tool WLS Microsoft makes a push to simplify machine learning TechCrunch AI Weekly: Microsoft, machine learning framework interoperability, and ONNX VentureBeat […] Read More
Author: Dan Clark In recent years, XGBoost algorithm has gained enormous popularity in academic as well as business world. We outline some of the reasons […] Read More
Author: Marco Tavora Introduction It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it […] Read More
Author: Microsoft makes a push to simplify machine learning TechCrunch Microsoft simplifies AI model creation in Azure Machine Learning VentureBeat Microsoft Details Azure AI and Machine Learning […] Read More
Author: Jason Brownlee It is challenging to know how to best prepare image data when training a convolutional neural network. This involves both scaling the […] Read More
Author: Matt Mayo Editor Also: Data Visualization in Python: Matplotlib vs Seaborn; Data Science Project Flow for Startups; Pandas DataFrame Indexing; Best Data Visualization Techniques […] Read More
Author: ajit jaokar Understanding the maths behind forward and back propagation is not very easy. There are some very good – but also very technical […] Read More
Author: Rob Matheson | MIT News Office Artistic sketches can be used to capture details of a scene in a simpler image. MIT researchers are […] Read More