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Accelerate AI Development with Snowflake

Snowflake

Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

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Top 10 Deep Learning Algorithms in Machine Learning [2025]

ProjectPro

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling.

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Your Step-by-Step Guide to Become a Data Engineer in 2025

ProjectPro

When one discusses tech, it is unlikely they will miss out on the opportunity to discuss the power of data. Clive Humby, the renowned mathematician and an entrepreneur in the data science space, rightly highlighted the importance of data with his quote, “Data is the new oil.”

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Transforming Patient Referrals: Providence Uses Databricks MLflow to Accelerate Automation Across 1,000+ Clinics

databricks

Tackling messy workflows and unstructured data at scale The core challenge wasn’t just technical—it was human. This process was inspired by our success working with Databricks on our deep learning frameworks. The process is slow, error-prone and contributes to multi-month backlogs that ultimately delay care for patients.

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15 Most Popular Data Science Tools to Consider Using in 2025

ProjectPro

Did you know the Data Science industry will be worth 322.9 Well, this indicates that there will be a higher demand for skilled data science professionals worldwide. One of the most crucial points to keep in mind is to upskill yourself in the most popular data science tools and technologies.

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How to Transition from ETL Developer to Data Engineer?

ProjectPro

Data Engineering Projects for Practice ETL Developer vs. Data Scientist Skills of a Data Scientist Responsibilities of a Data Scientist Data Scientist Salary How to Transition from ETL Developer to Data Scientist? Do they build an ETL data pipeline? Are they familiar with the usage of an ETL tool?