How to use Windows-10 WSL — (Built In Linux) for Machine Learning !

@tachyeonz : A large number of open source libraries\modules in machine learning are first made available for Linux and the windows versions are always released later . Maintaining two separate OS on Dual boot or switching between Virtual machines is not the best way.

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Scaling Airbnb’s Experimentation Platform

@tachyeonz : At Airbnb, we are constantly iterating on the user experience and product features. This can include changes to the look and feel of the website or native apps, optimizations for our smart pricing and search ranking algorithms, or even targeting the right content and timing for our email campaigns.

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Dive into Deep Learning with 12 free online courses

@tachyeonz : Every day brings new headlines for how deep learning is changing the world around us. A few examples:

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The Cost of Doing Data Science on Laptops

@tachyeonz : At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists will try and discard thousands of temporary models to find the optimal configuration. Even for small data sets, this could take hours to process.

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Data scientists compete to create cancer-detection algorithms

@tachyeonz : Data scientists are using machine learning to tackle lung cancer detection.

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Make your data science projects reproducible and shareable.

@tachyeonz : DVC derives the DAG (dependency graph) transparently to the user.

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Digitization of the Supply Chain: The future is now.

@tachyeonz : Innovation and automation are running rampant in the current digitized global marketplace. The market is larger, and smaller than ever, all at the same time. It’s exciting and and frightening, and frankly, I love it.

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Feature Engineering using R

@tachyeonz : Feature Engineering is paramount in building a good predictive model. It’s significant to obtain a deep understanding of the data that is being used for analysis. The characteristics of the selected features are definitive of a good training model. Why is Feature Engineering important?

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Python for big data

@tachyeonz :

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How to Get Started with Kaggle

@tachyeonz : 4-Step Process for Getting Started and Getting Good at Competitive Machine Learning. Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities.

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Gartner Data Science Platforms – A Deeper Look

@tachyeonz : By Thomas Dinsmore, analytics & machine Learning consultant. Gartner recently released its 2017 Magic Quadrant for Data Science Platforms. You can get a copy directly from Gartner if you’re a client, or you can get one for free here, courtesy of SAS.

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Overview of ‘online’ algorithm using Standard Deviation example

@tachyeonz : Here at Logentries we are constantly adding to the options for analysing log generated data. The query language ‘LEQL’ has a number of statistical functions and a recent addition has been the new Standard Deviation calculation.

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