Remove Food Remove Systems Remove Unstructured Data
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Simplifying Multimodal Data Analysis with Snowflake Cortex AI

Snowflake

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. This year’s entries presented an impressively diverse set of use cases.

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How to do Anomaly Detection using Machine Learning in Python?

ProjectPro

Systems are already in place in most major banks where the authorities are alerted when unusually high spending or credit activity occurs on someone’s account. Given that data can back the decision and sufficiently reliable data is available, anomaly detection can be potentially life-saving.

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Why Data Capabilities Follow Up a Digital Transformation

Team Data Science

Going further, when a restaurant creates a digital channel for its customers to order food online, it is not only digitizing information. It did that by implementing a recommender system based on machine learning. It is making use of digital technology to extend the business model to a different audience and way of working.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

Recommender System Projects Have you ever seen movies or web series on online streaming platforms? They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. It contains all the attributes you need to build your stock price prediction system.

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Fundamentals of Apache Spark

Knowledge Hut

Apache Spark is a fast and general-purpose, cluster computing system. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Following is the authentic one-liner definition.

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Recap of Hadoop News for January 2018

ProjectPro

brings erasure coding as optional storage mechanism along with the replication based system. caters to most of the key big data trends of today making it the de facto distributed data-processing framework for big data. Source : [link] ) Could 'big data' help Cleveland reduce health disparities - and create jobs?Cleveland.com,

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