How to easily provision an environment with GPU, H2O4GPU, TensorFlow, PyTorch, on Oracle Cloud. — Introduction If you want to develop a Deep Learning model, or maybe use a Machine Learning framework like H2O, most certainly you will get great benefits from using an environment with a GPU. But, it is not always easy the setup of such an environment. You need to find all…

Introduction If you read an introductory book on Machine Learning (ML), the development of a model can seem always an easy, interesting and nice task. The reality, in a true business case, is quite different. In the real world, the development of an effective model can be a difficult and rather…

Introduction If you want to develop a Deep Learning model and want a good likelihood to be successful, you need two things: lots of data, for the training of the model enough computational power, in the form of GPUs A Deep Learning model commonly is based on a Deep (many layers)…

OML4Py: a Python extension to Oracle Advanced Analytics. — Introduction. These days I’m working, with my colleague C. De Bari, on setting up training for customers and partners where we will talk about Oracle Machine Learning for Python. Cool, but what is it? Oracle DB since a long time has an option called: Oracle Advanced Analytics. It is an option…

Using OCI Python SDK and Autonomous DWH API you can easily load data for your Data Science and ML work Introduction In a previous article, I have explored how we can use Python and popular Open Source frameworks, like Pandas and scikit-learn, to analyze data stored with Oracle Autonomous Data Warehouse…