Tackling climate change with machine learning [part 6] – Datasets & further resources 09/27/19 by Paul Strobel This blog post series provides a summary of a paper which discusses machine learning solutions for climate change. Read more Leave your thoughts
Tackling climate change with machine learning [part 5] – Industry & carbon dioxide removal 09/26/19 by Paul Strobel On 10th of June, 2019, twenty-two AI researchers, including Andrew Ng and Yoshua Bengio, published a paper on how... Read more Leave your thoughts
Tackling climate change with machine learning [part 4] – Farms & Forests 09/25/19 by Paul Strobel On 10th of June, 2019, twenty-two AI researchers, including Andrew Ng and Yoshua Bengio, published a paper on how... Read more Leave your thoughts
Tackling climate change with machine learning [part 3] – Buildings & Cities 09/24/19 by Paul Strobel On 10th of June, 2019, twenty-two AI researchers, including Andrew Ng and Yoshua Bengio, published a paper on how... Read more Leave your thoughts
Tackling climate change with machine learning [part 2] – Transportation 09/23/19 by Paul Strobel On 10th of June, 2019, twenty-two AI researchers, including Andrew Ng and Yoshua Bengio, published a paper on how... Read more Leave your thoughts
Tackling climate change with machine learning [part 1] – Electricity systems 09/20/19 by Paul Strobel This blog post series provides a summary of a paper which discusses machine learning solutions to tackle climate change. Read more Leave your thoughts
Thoughts after completing the Coursera “Data Engineering, Big Data, and Machine Learning on GCP Specialization” 09/09/19 by Niklas Haas Having worked with Google Cloud Platform’s Big Data Services for almost a year, I wanted to have a broader view on GCP’s capabilities. Read more Leave your thoughts
Evaluating machine learning models: How to tackle metrics 09/06/19 by Berthold Schulte Once a model has been trained, it can be evaluated in different ways and with more or less complex and meaningful procedures and machine learning metrics. Read more Leave your thoughts
Portability between deep learning frameworks – with ONNX 08/28/19 by Nico Axtmann In recent years, the number of frameworks for deep learning has exploded. Companies such as Google, Facebook and Amazon have... Read more Leave your thoughts
