Tag: Machine learning
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Kubernetes with OpenShift 101: Exercises to enhance your apps with machine learning
Posted on December 6, 2019, Level intermediate Resource Length medium
With containers, you can create a clean, virtual environment to set up and train your neural networks in. Then, you can deploy the neural networks at scale with the exact same same environment. Article by Mo Haghighi.
Tags machine-learning data-science big-data
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Create a voice-controlled device with Alexa and Arduino IoT Cloud in 7 minutes
Posted on November 27, 2019, Level intermediate Resource Length medium
Umbobaldi wrote this piece about official announcement of the official Arduino Amazon Alexa skill launch.
Tags data-science big-data machine-learning robotics
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How to become a data scientist
Posted on November 26, 2019, Level beginner Resource Length medium
Author heard a question how one can become a data scientist by many people in recent months. So he decided to spend a great deal of time making this guide so that most people have access to it. By Marcos Silva.
Tags data-science big-data machine-learning learning
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Natural language processing for Node.js
Posted on November 21, 2019, Level intermediate Resource Length long
An article by Jordan Irabor about processing unstructured textual data using Natural language processing for Node.js.
Tags big-data data-science machine-learning robotics
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How to manage your machine learning workflow with DVC, Weights & Biases, and Docker
Posted on November 13, 2019, Level intermediate Resource Length medium
James Le wrote this article in which he wants to show 3 powerful tools to simplify and scale up machine learning development within an organization by making it easy to track, reproduce, manage, and deploy models.
Tags big-data machine-learning software-architecture
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Federated Learning: Challenges, methods, and future directions
Posted on November 12, 2019, Level beginner Resource Length medium
What is federated learning? How does it differ from traditional large-scale machine learning, distributed optimization, and privacy-preserving data analysis? Learn from the blog post by Carnegie Mellon University.
Tags machine-learning big-data data-science
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Gentle introduction to Monte Carlo sampling for probability
Posted on November 4, 2019, Level intermediate Resource Length long
Jason Brownlee wrote this piece about Monte Carlo. Monte Carlo methods are a class of techniques for randomly sampling a probability distribution.
Tags big-data data-science machine-learning miscellaneous python
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Keras vs tf.keras: What's the difference in TensorFlow 2.0?
Posted on October 27, 2019, Level intermediate Resource Length short
In this tutorial we will discover the difference between Keras and tf.keras (tf - TensorFlow), including what's new in TensorFlow 2.0. By Adrian Rosebrock.
Tags big-data data-science software machine-learning
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Explainer: What is a quantum computer?
Posted on October 12, 2019, Level beginner Resource Length medium
This is the first in a series of explainers on quantum technology. How it works, why it's so powerful, and where it's likely to be most useful first. By Martin Giles.
Tags miscellaneous infosec learning machine-learning
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Deep learning with Electronic Health Record (EHR) systems
Posted on September 26, 2019, Level intermediate Resource Length long
Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).
Tags big-data data-science data-science machine-learning analytics
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Bias Variance decompositions using XGBoost
Posted on August 17, 2019, Level beginner Resource Length long
This blog dives into a theoretical machine learning concept called the bias-variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand various questions about model. Written by RAPIDS.
Tags machine-learning big-data programming
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Bias detection in IBM Watson OpenScale
Posted on August 12, 2019, Level intermediate Resource Length medium
Manish Bhide wrote this article on fairness or bias is one of the big issues that plagues the adoption of AI in enterprises.
Tags software-architecture big-data machine-learning miscellaneous