Have you ever wondered why you can call TensorFlow – mostly known as a Python framework – from R? If not – that’s how it should be, as the R packages keras and tensorflow aim to make this process as transparent as possible to the user. But for them to be those helpful genies, someone else first has to tame the Python.
Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup…
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In this episode of Open Source Directions, we were joined by Thomas Wiecki once again who talked about the work being done with PyMC. PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
In this episode, we have an engaging and very entertaining discussion with Jono Bacon, the founder of Jono Bacon Consulting. Jono was Director of Community at notable companies such as Github, Canonical, and XPRIZE. He is one of the top (if not the top) experts in the world when it comes to building strong communities.
In this episode, I was fortunate enough to speak with Peter Wang, the CEO of Anaconda. Anaconda is a distribution for the Python and R programming languages for scientific computing. It’s recognized as the heart of the open source data science community.
We had a very fun and engaging chat with Matt Yonkovit who is the Chief Experience Officer at Percona, a service provider for open source databases like MySQL, PostgreSQL, MariaDB, and RocksDB. Matt has worked as a database architect for 10 years before transitioning into consulting roles at both MySQL and Sun Microsystems. In total, he’s been working with databases and open source for nearly 25 years.
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