Tag: Big data
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Autoencoders with Keras, TensorFlow, and Deep Learning
Posted on April 10, 2020, Level advanced Resource Length medium
In this tutorial, you will learn how to implement and train autoencoders using Keras, TensorFlow, and Deep Learning. Author discusses what autoencoders are, including how convolutional autoencoders can be applied to image data. Also more about the difference between autoencoders and other generative models, such as Generative Adversarial Networks (GANs). By Adrian Rosebrock.
Tags machine-learning big-data data-science python
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Announcing TensorFlow Quantum: An open source library for quantum machine learning
Posted on March 10, 2020, Level beginner Resource Length medium
Machine learning (ML), while it doesn't exactly simulate systems in nature, has the ability to learn a model of a system and predict the system's behavior. Over the past few years, classical ML models have shown promise in tackling challenging scientific issues, leading to advancements in image processing for cancer detection, forecasting earthquake aftershocks, predicting extreme weather patterns, and detecting new exoplanets. Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research.
Tags big-data machine-learning software-architecture google
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Lessons learned from deploying a machine learning model
Posted on February 26, 2020, Level intermediate Resource Length medium
More than half a million calls go through the Talkdesk systems every day. For our clients, especially larger contact centers, it can be difficult to understand and monitor everything happening due to the amount of structured and unstructured data and the high pace at which they originate. Our main goal is to make their job easier by providing insightful dashboards about calls and the overall call center performance. By Henrique Carlos.
Tags big-data data-science
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How to teach Artificial Intelligence
Posted on February 22, 2020, Level intermediate Resource Length short
Tom Vander Ark writes about the future of learning, work and human development. Here we have his thoughts on how to teach Artificial intelligence (AI).
Tags machine-learning big-data data-science
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Behavior-Based attribution using Google BigQuery ML
Posted on February 12, 2020, Level intermediate Resource Length medium
Constantine Yurevich is author of this article in which he argues why you should create a custom attribution tool. With out-of-the-box tools, you're limited by their functionality, data transformations, models, and heuristics.
Tags big-data machine-learning cloud
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Can wearables keep up with us?
Posted on February 10, 2020, Level beginner Resource Length medium
Brinnae Bent and Jessilyn Dunn form Duke University wrote an article about wearable technology. Wearable technology has the potential to transform healthcare and research through accessible, continuous, and longitudinal health monitoring.
Tags software big-data data-science miscellaneous
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Embodied Learning is essential to Artificial Intelligence
Posted on February 9, 2020, Level beginner Resource Length medium
Jeff Hawkins has a principle that intuitively makes a lot of sense, yet is something that Deep Learning research has not emphasized enough. This is the notion of embodied learning. That is, biological systems learn from interacting with the environment. By Carlos E. Perez.
Tags software big-data data-science miscellaneous
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Covariant uses simple robot and gigantic neural net to automate warehouse picking
Posted on February 6, 2020, Level intermediate Resource Length long
A massive neural network connects cameras, a robot arm, and a suction gripper in Covariant's logistics system. By Evan Ackerman.
Tags miscellaneous big-data data-science iot servers
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Quantum computing for the very curious
Posted on February 2, 2020, Level intermediate Resource Length long
If aliens have computers, it's because computers are the answer to a question that naturally occurs to both human and alien civilizations. By Andy Matuschak and Michael Nielsen.
Tags how-to cloud data-science machine-learning big-data software
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The rise and fall of the OLAP Cube
Posted on January 30, 2020, Level beginner Resource Length long
One of the biggest shifts in data analytics over the past decade is the move away from building "data cubes", or "OLAP cubes", to running OLAP workloads directly on columnar databases. By Cedric Chin.
Tags big-data data-science miscellaneous database software-architecture
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Exploring an Apache Kafka to Pub/Sub migration: Major considerations
Posted on January 28, 2020, Level intermediate Resource Length medium
In many cases, Google's Pub/Sub messaging and event distribution service can successfully replace Apache Kafka, with lower maintenance and operational costs, and better integration with other Google Cloud services. By Leonid Yankulin.
Tags software-architecture apache streaming big-data machine-learning google
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TensorFlow 2 Tutorial: Get started in Deep Learning with tf.keras
Posted on January 17, 2020, Level advanced Resource Length long
Jason Brownlee wrote this tutorial to get you started with Deep Learning in TensorFlow. Predictive modeling with deep learning is a skill that modern developers need to know.
Tags big-data data-science python how-to learning