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Programming


Overview This guide shows how to install TFLearn. TFLearn Deep learning library featuring a higher-level API for TensorFlow.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu   Installation 01. Activate your virtual environment, or skip this step …

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Overview This guide shows how to install Pandas. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu   …

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Overview This guide shows how to install Keras. Keras is a high-level neural networks API written and for Python. It is also capable of running on top of TensorFlow.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu …

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Microsoft Build 2019 | IntelliCode: how AI helps bring the wisdom of your community to daily development Session ID: BDL2001   What if AI could extract valuable insights from the code that you and your community build, and help you apply them right in your code editor? What if it could figure out patterns across …

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Normality is one assumption that you will typically encounter in statistical methods that you will employ. A lot of the tests that were created have an underlying assumption that your data is normal. A large number of parametric tests assume normality of data. Ordinary least squares regression assumes it for its error terms, too. You can …

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PyCon 2019 | Don’t be a robot, build the bot Speaker: Mariatta   Managing a large open source project like CPython is no easy task. Learn how the Python core team automated their GitHub workflow with bots, making it easier for maintainers and contributors to collaborate together. Even if you’re not managing a large project, …

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PyCon 2019 | Scikit-learn, wrapping your head around machine learning Speaker: Chalmer Lowe   A gentle introduction to machine learning through scikit-learn. This tutorial will enable attendees to understand the capabilities and limitations of machine learning through hands-on code examples and fun and interesting datasets. Learn when to turn to machine learning and which tools …

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PyCon 2019 | Beyond Two Groups: Generalized Bayesian A/B[/C/D/E…] Testing Speaker: Eric Ma   Bayesian A/B testing has gained much popularity over the years. It seems, however, that the examples stop at two groups. This begs the questions: should we not be able to do more than simple two-group, case/control comparisons? Is there a special …

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Google I/O 2019 | Machine Learning Zero to Hero This is a talk for people who know code, but who don’t necessarily know machine learning. Learn the ‘new’ paradigm of machine learning, and how models are an alternative implementation for some logic scenarios, as opposed to writing if/then rules and other code. This session will …

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Google I/O 2019 | Swift for TensorFlow Swift for TensorFlow is a platform for the next generation of machine learning that leverages innovations like first-class differentiable programming to seamlessly integrate deep neural networks with traditional software development. In this session, learn how Swift for TensorFlow can make advanced machine learning research easier and why Jeremy …

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