Tag: Data science
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Code Migration in Production: Rewriting the Sharding Layer of Uber's Schemaless Datastore
Posted on March 20, 2019, Level intermediate Resource Length medium
An older article by Jesper Lindstrøm Nielsen and Anders Johnsen about how Uber Engineering built Schemaless, their fault-tolerant and scalable datastore, to facilitate the rapid growth of our company.
Tags database data-science nosql
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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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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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Data Mining and Predictive Analytics: Things we should care about
Posted on December 28, 2018, Level beginner Resource Length medium
Vikash Kumar from custom application development company Tatvasoft published this post about predicitive analytics. Data and tons of data are found at the core of any organization's success or failure. Businesses are going with all guns to create a better position in the marketplace by understanding their customer base, making constant improvements in their operations, outperforming their competitors and what not!
Tags analytics miscellaneous big-data cio data-science
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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
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4 edge computing technologies enabling IoT ready network infrastructure
Posted on September 30, 2018, Level beginner Resource Length short
A quick intro into IoT networking. Networks around the world are going through a massive transformation in which edge computing devices and edge infrastructure development hold a key role.
Tags iot data-science big-data machine-learning software-architecture
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Intuitive explanation of Convolutional Neural Networks
Posted on September 29, 2018, Level intermediate Resource Length long
An older article by jjwalkarn about Convolutional Neural Networks. Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification.
Tags miscellaneous data-science big-data machine-learning
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An Introduction to Q#
Posted on July 14, 2018, Level beginner Resource Length short
Ankit Sharma article focusing on Q# language. Q# is an accessible language for quantum computing. Q# is the new programming language introduced by Microsoft for quantum computing. Author goes over the data types, expressions, and statements of Q# with the help of code snippets.
Tags programming data-science big-data machine-learning
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Why is the human brain so efficient?
Posted on June 24, 2018, Level beginner Resource Length medium
Liqun Luo, professor in the School of Humanities and Sciences, and professor, by courtesy, of neurobiology, at Stanford University, published this interesting essay about human brain efficiency and how massive parallelism lifts the brain's performance above that of AI. The brain is complex; in humans it consists of about 100 billion neurons, making on the order of 100 trillion connections.
Tags data-science big-data
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Building a simple Keras + deep learning REST API
Posted on June 12, 2018, Level intermediate Resource Length medium
Adrian Rosebrock tutorial in which he will present a simple method to take a Keras model and deploy it as a REST API. The examples covered in this post will serve as a template/starting point for building your own deep learning APIs.
Tags big-data data-science programming