Artificial Intelligence #85

Hey, in this issue: how computationally complex is a single neuron; an introduction to machine learning compilers and optimizers; a Python library for online machine learning; a tutorial on Gaussian processes; textless NLP; a lightweight Python library for AutoML; and more.

The sponsors of this issue are Supahands and Krista Software .

• How computationally complex is a single biological neuron?
• [Tutorial] A friendly introduction to machine learning compilers and optimizers
• [Project] baal: a library to enable Bayesian active learning in your research or labeling work
• [Project] River: a Python library for online machine learning
• [Sponsored]?A data labeling service that promises high quality, consistently

Edge cases and subjectivity are the most common challenges that technical teams face when training AI models making it difficult to reach 95+% accuracy, especially at scale.?Speak to us ?about the F1 score that we use to measure the quality of the data that we label for ML teams.

• [Tutorial] Gaussian processes from scratch
• Textless NLP: Generating expressive speech from raw audio (paper , paper , paper , code )
• [Sponsored] How I Operationalized AI for Mergers and Acquisitions – CASE STUDY
• [Project] TensorFlow Similarity: a python package designed to make it easy and fast to train similarity models using TensorFlow
• [Project] FLAML: a lightweight Python library that finds accurate machine learning models automatically , efficiently, and economically

The newsletter is now read by more than 480,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of?these great companies ?by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to?[email protected]?for more details on sponsorships.

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Have a nice weekend! See you next week. — Andriy