Building large-scale AI/ML systems AI/ML systems intersect with machine learning theory and software engineering.

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

In this article, the author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka ...

While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends.

The technology that turns petabytes of data into useful features that machine learning models can use already works on Azure.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Defining a machine learning window This week, Apple is sponsoring the world’s largest spoken language processing conference, Interspeech 2019.

The proliferation of free open source software has made machine learning easier to implement both on single machines and at scale, and in most popular programming languages.

The 10 hottest data science and machine learning tools include Databricks Mosaic AI, Dataiku, PyTorch and TensorFlow.