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Fraud Detection using Deep Learning

Cloudera

The approach to machine learning using deep learning has brought marked improvements in the performance of many machine learning domains and it can apply just as well to fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection.

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Join DataHour Sessions With Industry Experts

Analytics Vidhya

In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding […] The post Join DataHour Sessions With Industry Experts appeared first on Analytics Vidhya.

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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Streamlit allows us to rapidly build interfaces to our models, and is the end point of several of our AMPs: We can prototype user facing applications, suitable for internal tools, as in Deep Learning for Question Answering. We can build assistive diagnostic interfaces for model building, as in Structural Time Series.

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New Applied ML Research: Meta-Learning & Structural Time Series

Cloudera

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Meta-Learning. Humans have an innate ability to learn new skills quickly.

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Top 14 Artificial Intelligence Skills You Must Have in 2023

Knowledge Hut

AI encompasses several different subfields, including machine learning, deep learning, computer vision, and more. Machine Learning and Deep Learning: To fully comprehe­nd machine learning and deep learning, it is crucial to grasp the fundamental principles that underlie these­ technologies.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection. Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis. Build a semantic search application with deep learning models.

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Data Engineering Weekly #116

Data Engineering Weekly

link] Sponsored: Webinar: How Khatabook Migrated to RudderStack from Segment As Khatabook rapidly scaled users in 2022, Segment’s inferior support and unreasonable pricing became increasingly painful. While defining the expectations and constraints, developer productivity plays a critical role.