Posts in tag

Data Science


Microsoft Build 2019 | Azure Notebooks for Data Science Developers Session ID: CFS2004   Have developer skills but want to scale up to data science in Azure? Azure Notebooks makes it easy to move from developer to including data science skills in your skill set. Microsoft provides an Azure hosted Jupyter Notebook solution with Azure …

Microsoft Build 2019 | MLOps: How to Bring Your Data Science to Production Session ID: BDL2026   While many enterprises have already adopted DevOps and GitOps strategies to improve their developers’ efficiency, most have yet to employ the same techniques for their machine learning pipelines. In this panel, we will discuss the practice of MLOps, …

PyCon 2019 | Pandas Is For Everyone Speaker: Daniel Chen   Data Science and Machine learning have been synonymous with languages like Python. Libraries like Numpy and Pandas have become the de facto standard when working with data. The DataFrame object provided by Pandas gives us the ability to work with heterogeneous unstructured data that …

PyCon 2019 | Introduction to Data Science with Python Speaker: Grishma Jena   Wish to perform Data Science but don’t know how to? Have a dataset that you really want to analyze but not sure how to start? This hands-on session teaches how to explore datasets, use Machine Learning algorithms and derive insights from models …

Google I/O 2019 | Train Custom Machine Learning Models with No Data Science Expertise Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their needs, by leveraging Google’s state-of-the-art neural architecture search technology. Learn the power and ease-of-use of Cloud AutoML …

PyCon 2019 | Bayesian Data Science by Simulation Speaker: Eric Ma, Hugo Bowne-Anderson   This tutorial is an Introduction to Bayesian data science through the lens of simulation or hacker statistics. We will become familiar with many common probability distributions through i) matching them to real-world stories & ii) simulating them. We will work with …

PyCon 2019 | Getting Started Testing in Data Science Speaker: Jes Ford   How do you know if your data science results are correct? Robust software usually has tests asserting that certain conditions hold, but as a data scientist it’s often not straightforward or obvious how to integrate these best practices. Our workflow includes exploration, …