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#machine learning

Step by step interactive graphs

Python data visualization with Bokeh

Thanks to its usage in big data, machine learning, and artificial intelligence libraries, Python has seen a huge surge in popularity over the past few years. Bokeh is an open source interactive data visualization library for Python that can be used in modern web browsers. Find out how to visualize your datasets using Bokeh by following these simple steps.

Interview with pandas developer Tom Augspurger

“The 1.0 release does not mean a conclusion, or even slowing down, of pandas’ development.”

pandas has reached the milestone version 1.0.0. The Python library for data analysis and manipulation has already been around for 12 years and is being used in production, so what led to this decision now? We spoke to Tom Augspurger from the pandas developer team. He shared some insights on the new release, his personal highlights and where pandas is headed in the future.

Watch Vítor Brandao's International PHP Conference session

Build your own neural network – with PHP!

It’s impossible to avoid the hype around machine learning, artificial intelligence, deep learning, and neutral networks. This talk from the International PHP Conference will show you what an artificial neural network (ANN) looks like and how you can get started on building your own using PHP. Follow Vítor Brandao and begin your machine learning journey.

Detect objects with detecto

Python package Detecto released for simple video object detection

Detecto is neither the name of a new superhero nor a detective novel, but a recently developed Python package for training and running object detection models. Built on top of PyTorch, it is designed to be easy to use—and its developer claims that under ten lines of code are enough to run the trained machine learning models on videos.

People-centric and smart space tech

Adopt these 10 strategic technologies in 2020

Take a look into the crystal ball. What does Gartner predict for 2020? Here are ten strategic trending technologies that tech leaders should have on their radar in the coming years. Augmented and virtual reality might train employees in the future, voting might become based on a blockchain, and AI security might become the most important factor in risk management.