Tag: Machine learning
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Microsoft's Quantum Development Kit goes open source on GitHub
Posted on July 12, 2019, Level beginner Resource Length short
Announcement form Microsoft about open sourcing Quantum Devleopment Kit (QDK). The QDK launched in preview last year, and is Microsoft's attempt to get developers familiar with quantum computing before it goes mainstream. Developers will now be able to contribute to the QDK's development via GitHub. Quantum for everyone.
Tags big-data open-source cloud machine-learning data-science software
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Python machine learning tutorial: predicting Airbnb prices
Posted on July 11, 2019, Level intermediate Resource Length long
Machine learning is pretty undeniably the hottest topic in data science right now. It's also the basic concept that underpins some of the most exciting areas in technology, like self-driving cars and predictive analytics. An article by dataquest.io in which you will be introduced to the fundamental concepts of machine learning. As you follow along, you'll build your very first model from scratch to make predictions, while understanding exactly how your model works.
Tags big-data machine-learning how-to python
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Searching for ET using AI on GCP
Posted on July 10, 2019, Level intermediate Resource Length long
Rob Harrand wrote this article about aproject playing with open data from SETI. They say that the best way to learn data science is to create something. Some of the most interesting data publicly available in GitHub repositories is data from the SETI Institute (the Search for Extraterrestial Intelligence).
Tags big-data analytics cloud machine-learning data-science
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Look at how Twitter handles its time series data ingestion challenges
Posted on June 11, 2019, Level intermediate Resource Length short
Ram Dagar is author of this overview on the time series topic. The components of time-series are as complex and sophisticated as the data itself. With increasing time, the data obtained increases and it doesn't always mean that more data means more information but, larger sample avoids the error that due to random sampling.
Tags devops database machine-learning data-science software
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Finding the cheapest flights for a multi-leg trip with Amadeus API and Python
Posted on June 3, 2019, Level intermediate Resource Length short
Vladimir Iakovlev is the author of this tutorial about finding cheapest flights for a multi-leg trip with Amadeus API and Python. Amadeus Travel APIs connect you to the richest information in the travel industry.
Tags python machine-learning programming software
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Google's EdgeTPU benchmarked vs Intel's Movidius
Posted on March 24, 2019, Level beginner Resource Length short
An article written by Frederik Bode about the first benchmark of Google's EdgeTPU Dev Board is in. Read about comparison is made against Intel's (first generation) Movidius Neural Compute Stick, and Google is the clear winner regarding inference time.
Tags big-data data-science analytics machine-learning
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Managing analysis workflows in geospatial data science with GNU Make
Posted on March 3, 2019, Level intermediate Resource Length long
Martà Bosch wrote this guide how to go about using Jupyter Notebooks while using iterative approach to both data analysis and software development. He will also explain how to avoid some bad practices. Many issues can be settled by choosing helpful file names, good organization, documentation and source control of the code.
Tags big-data machine-learning data-science miscellaneous python
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Understanding stabilising experience replay for deep multi-agent reinforcement learning
Posted on March 1, 2019, Level advanced Resource Length long
An article by Parnian Barekatain in which she describes some basic concepts in Reinforcement Learning. She also provides you with the link to Udacity's free course on Deep Learning with Pytorch.
Tags big-data machine-learning data-science miscellaneous
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Handling imbalanced datasets in machine learning
Posted on February 6, 2019, Level intermediate Resource Length long
An article by Bapriste Rocca about handling imbalanced datasets in machine learning. He searches and answer on question what should and should not be done when facing an imbalanced classes problem.
Tags big-data big-data data-science miscellaneous machine-learning
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Understand TensorFlow by mimicking its API from scratch
Posted on January 7, 2019, Level beginner Resource Length long
An article by Dominic Elm about learning TensorFlow. TensorFlow is a very powerful and open source library for implementing and deploying large-scale machine learning models.
Tags programming big-data big-data learning machine-learning
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Enterprise-level data science: lessons from the front lines
Posted on December 29, 2018, Level beginner Resource Length medium
Blog post by Levi Brackman on best practices for enterprise level data science. Data science, machine learning (ML) and artificial intelligence (AI) are relatively new endeavors for enterprise-level business. Many companies are batch training as well as batch scoring ML models.
Tags big-data data-science machine-learning analytics
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Understanding the potential of Artificial Intelligence
Posted on December 21, 2018, Level beginner Resource Length long
An interesting interview with Daniel Hulme, CEO of the AI solutions startup Satalia, offers other chief executives a primer on the technology that will shape the future of work and business. Published on strategy-business.com by Euan Cameron and Deborah Unger.
Tags big-data cloud data-science miscellaneous machine-learning