Posts in category

Machine Learning


PyCon 2019 | Put Down The Deep Learning: When Not To Use Neural Networks And What To Do Instead Speaker: Rachael Tatman   The deep learning hype is real, and the Python ecosystem makes it easier than ever to neural networks to everything from speech recognition to generating memes. But when picking a model architecture …

PyCon 2019 | Machine learning model and dataset versioning practices Speaker: Dmitry Petrov   Python is a prevalent programming language in machine learning (ML) community. A lot of Python engineers and data scientists feel the lack of engineering practices like versioning large datasets and ML models, and the lack of reproducibility. This lack is particularly …

Google I/O 2019 | TensorFlow Extended: Machine Learning Pipelines and Model Understanding This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX …

Google I/O 2019 | Getting Started with TensorFlow 2.0 TensorFlow 2.0 is here! Understand new user-friendly APIs for beginners and experts through code examples to help you create different flavors of neural networks (Dense, Convolutional, and Recurrent) and understand when to use the Keras Sequential, Functional, and Subclassing APIs for your projects.   Speakers: Josh …

Amid all the dire warnings that machines run by artificial intelligence (AI) will one day take over from humans we need to think more about how we program them in the first place. The technology may be too far off to seriously entertain these worries – for now – but much of the distrust surrounding …

Google I/O 2019 | Machine Learning for Game Developers Machine learning is enabling game developers to solve challenges that have been difficult with traditional programming techniques. If you’re new to machine learning and looking to consume APIs backed by Google-built ML models or wanting to train your own game AI with a custom model, in …

Google I/O 2019 | Designing Human-Centered AI Products Want to learn how Google develops human-centered AI products—and how to avoid common AI-design pitfalls? The People+AI Research (PAIR) team will share insights from the new People+AI Guidebook, which has steered design and development over the past year. Through recommendations, frameworks, and examples, you’ll learn how to …

For more than two millennia, Western thinkers have separated emotion from cognition – emotion being the poorer sibling of the two. Cognition helps to explain the nature of space-time and sends humans to the Moon. Emotion might save the lioness in the savannah, but it also makes humans act irrationally with disconcerting frequency.  In the …

Google I/O 2019 | Teaching a Car to Drive Itself by Imitation and Imagination Training a neural net to drive by pure observation requires ensuring that good behavior is being learned from the right signals and that test results in simulation can be transferred to the real world. This talk will walk you through the …

Google I/O 2019 | ML Kit: Machine Learning for Mobile with Firebase ML Kit allows you to harness the power of machine learning in your iOS and Android apps without needing to be an expert in it. Leverage powerful, but simple-to-use on-device and cloud-based APIs for Vision and Natural Language Processing, or train and/or deploy …