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Fraud Detection using Deep Learning

Cloudera

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. a Hive Table).

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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

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

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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

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection.

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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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How To Switch To Data Science From Your Current Career Path?

Knowledge Hut

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.