Tag: Ai and machine learning
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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 data-and-analytics ai-and-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 data-and-analytics ai-and-machine-learning miscellaneous backend-development
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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 data-and-analytics ai-and-machine-learning 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 data-and-analytics miscellaneous ai-and-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 software-engineering data-and-analytics leadership-and-career ai-and-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 data-and-analytics ai-and-machine-learning
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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 data-and-analytics cloud-and-infrastructure miscellaneous ai-and-machine-learning
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Predictive Analytics: the future of digital marketing
Posted on December 9, 2018, Level beginner Resource Length long
An older blog post by Deepak Kanakaraju on hot topic of predictive analytics. As technology impacts every aspect of our lives, it is also creating an impact in predicting the future, with reasonable accuracy.
Tags data-and-analytics ai-and-machine-learning security-and-privacy
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Apple CoreML: Introduction to machine learning in mobile app development
Posted on November 5, 2018, Level beginner Resource Length medium
Post by JetRuby Agency about enhancing your mobile app with machine learning. You will find out what machine learning is and understand the way it changed our life. CoreML is a framework that was presented by Apple in 2017.
Tags frontend-and-mobile ai-and-machine-learning product-and-design
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Create an Alexa skill with serverless and a conversation
Posted on November 1, 2018, Level intermediate Resource Length medium
An article by Niklas Heidloff and Mark Sturdevant from IBM on hot Alexa skills topic. In it you will find how to create an Alexa skill with serverless and a conversation. Apart from Alexa you will also use Watson to discuss the weather, build a conversation, or choose one from a library. Watson is a question-answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project.
Tags frontend-and-mobile architecture-and-apis cloud-and-infrastructure ai-and-machine-learning miscellaneous data-and-analytics
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Deep Learning with Python for beginners
Posted on October 5, 2018, Level intermediate Resource Length short
An article by Shailna Patidar in which she takes a look at Deep Learning with Python for beginners and explore the definition of Deep Learning as well as its main characteristics. Moreover, this article will go through Artificial Neural Networks and Deep Neural Networks, along with Deep Learning applications.
Tags backend-development ai-and-machine-learning software-engineering data-and-analytics
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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 business-and-emerging-tech data-and-analytics ai-and-machine-learning architecture-and-apis