Bernoulli Distribution | Intro & Example | with TensorFlow Probability скачать в хорошем качестве

Bernoulli Distribution | Intro & Example | with TensorFlow Probability

In this video, we look at the Bernoulli Distribution, one of the simplest distribution possible. It is concerned with discrete events that can only take one of two possible states (think of the weather, which can either be good or bad). We then see how this distribution is implemented in TensorFlow Probability and how we can calculate the likelihood of a dataset. Here are the notes: https://raw.githubusercontent.com/Cey... ------- 📝 : Check out the GitHub Repository of the channel, where I upload all the handwritten notes and source-code files (contributions are very welcome): https://github.com/Ceyron/machine-lea... 📢 : Follow me on LinkedIn or Twitter for updates on the channel and other cool Machine Learning & Simulation stuff:   / felix-koehler   and   / felix_m_koehler   💸 : If you want to support my work on the channel, you can become a Patreon here:   / mlsim   ------- Timestamps 0:00 Opening 0:12 Intuition 1:41 Probability Mass Function 2:31 Likelihood of a Dataset 4:48 TensorFlow Probability