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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

These organizations are shaping the future of the AI and data science industries with their innovative products and services. These tools are designed to help companies derive insights from big data. Blueprint’s tools and services allow organizations to quickly obtain decision-guiding insights from your data.

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8 Best Programming Language for Data Science

Pickl AI

Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently.

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Leverage Phi-3: Exploring RAG based QnA with Microsoft’s Phi-3

Pragnakalp

Step 3: Load and process the PDF data For this blog, we will use a PDF file to perform the QnA on it. We’ve selected a research paper titled “DEEP LEARNING APPLICATIONS AND CHALLENGES IN BIG DATA ANALYTICS,” which can be accessed at the following link: [link] Please download the PDF and place it in your working directory.

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Best Data Engineering Books for Beginners 1.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture.