#machine learning

Watch Christoph Henkelmann's ML Conference session

Unsupervised Learning with Autoencoders

What are autoencoders and how can you use them in your machine learning projects? In this session from the Machine Learning Conference, Christoph Henkelmann will teach you all about the basics of autoencoders, including different varieties, how to use them, and what they are good for.

Watch Tamar Stern's International JavaScript Conference session

Introduction to machine learning in Node.js

Node.js is one of the most popular frameworks for writing server side applications now, and machine learning is rapidly gaining popularity. More and more problems are being solved by using machine learning tools. The use of machine learning solutions is spreading, and it is not limited to researchers.

The ethics of AI and ML

What data should AI be trained on to avoid bias?

Humans are introducing their own biases and prejudices into machine learning. As advanced as AI can be, having been built by humans, it can still share some of our own ethical shortcomings. The usage of proper databases during training is one of the ways to help prevent biases from developing within artificial intelligence.

Natural language generation with 17 billion parameters

Microsoft’s deep learning language model Turing-NLG outperforms GPT-2

Microsoft has announced its deep learning language model Turing-NLG, and its impressive 17 billion parameters make it the largest language model to date. While it is not publicly available, a demo version has been released to a small group for testing purposes. Let’s see if more parameters mean better results, compared to OpenAI’s GPT-2 and NVIDIA’s Megatron-LM.

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.