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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. The average data scientist earns over $108,000 a year.

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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022. Architecture of the Turn-to-Diarize system. For this we propose a multi-stage clustering strategy to leverage the benefits of different clustering algorithms.

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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Journey to AI blog

We further validated these claims by introducing a system architecture and protocols, exhibiting: Transparent transaction processing with strong accountability through a shared ledger that records all transactions processed by the system. They also meet and exceed the CBDC performance and scalability requirements.

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Data Intelligence empowers informed decisions

Pickl AI

Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences. Through statistical methods and advanced algorithms, we unravel patterns, trends, and valuable nuggets that guide decision-making. So, what is Data Intelligence with an example?

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

This process involves the utilization of both ML and non-ML algorithms. In this section, we briefly introduce the system architecture. If enabled in the config, perform a similarity check using image hash algorithms. The rules engine alerts human moderators upon detecting violations in the video streams.

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This AI newsletter is all you need (#36)

Towards AI

The technology behind GitHub’s new code search This post provides a high-level explanation of the inner workings of GitHub’s new code search and offers a glimpse into the system architecture and technical underpinnings of the product.

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Google Research, 2022 & beyond: Robotics

Google Research AI blog

We’re also progressing towards making our learning algorithms more data efficient so that we’re not relying only on scaling data collection. Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers.

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