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Artificial Intelligence

News, guides, and other informative resources

Tackling Bias In Artificial Intelligence

PyCon 2019 | Scikit-learn, wrapping your head around machine learning

PyCon 2019 | Pandas Is For Everyone

Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow

Google I/O 2019 | Machine Learning Fairness: Lessons Learned

Algorithms Are Opinions, Not Truth Machines, And Demand The Application Of Ethics

Why Artificial Neural Networks Have A Long Way To Go Before They Can ‘See’ Like Us

Google I/O 2019 | Federated Learning: Machine Learning on Decentralized Data

Detecting Deepfakes By Looking Closely Reveals A Way To Protect Against Them

PyCon 2019 | Measuring Model Fairness

Even If Genes Affect Intelligence, We Can’t Engineer Cleverness

PyCon 2019 | Introduction to Data Science with Python

Google I/O 2019 | Machine Learning Zero to Hero

Google I/O 2019 | Swift for TensorFlow

Google I/O 2019 | Train Custom Machine Learning Models with No Data Science Expertise

PyCon 2019 | Hello World of Machine Learning Using Scikit Learn

Shitloads And Zingers: On The Perils Of Machine Translation

Planes Don’t Flap Their Wings: Does AI Work Like A Brain?

How Artificial Intelligence Can Detect – And Create – Fake News

PyCon 2019 | Applied Deep Learning For NLP Using PyTorch

Google Cloud Next 2019 | SCRUM-Japan Genesis; Virtual Sequencing Utilizing Nationwide Cancer Genome Database

Detecting ‘Deepfake’ Videos In The Blink Of An Eye

PyCon 2019 | Measures and Mismeasures of Algorithmic Fairness

PyCon 2019 | Fighting Climate Change with Python

Deepfake Videos Could Destroy Trust In Society – Here’s How To Restore It

Google Cloud Next 2019 | Democratizing AI For Industrial Applications

If Machines Want To Make Art, Will Humans Understand It?

PyCon 2019 | Getting Started With Deep Learning: Using Keras & Numpy To Detect Voice Disorders

PyCon 2019 | Put Down The Deep Learning: When Not To Use Neural Networks And What To Do Instead

PyCon 2019 | Machine Learning Model And Dataset Versioning Practices