Remove Deep Learning Remove Internet of Things Remove Machine Learning Remove Modeling
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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

It is the ideal solution for contemporary cities that wish to leverage the power of the internet of things while providing possible advantages to their residents. . Deep Learning Technology has started being used increasingly in managing parking areas. Learn more here. What is Deep Learning Technology.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. For example, we are working on a geospatial foundation model, which can be fine-tuned to track deforestation, detect greenhouse gases (GHGs) or predict crop yields.

IoT 85
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Training versus Inference

Paul DeBeasi

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. An important development in machine learning is the emergence of machine learning inference servers (aka inference engines and inference servers).

IoT 49
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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

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Better Preference Predictions: Tunable and Explainable Recommender Systems

Insight

Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? Apply for the upcoming June session today ( Deadline is March 25th for SV and NYC ) or learn more about the Artificial Intelligence program at Insight!

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.