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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. It separates the hidden links and patterns in the data.

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Natural Language Processing in Healthcare: Using Text Analysis for Medical Documentation and Decision-Making

AltexSoft

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. Key differences between structured, semi-structured, and unstructured data.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Below are several real-life examples, proving the practicality of automated machine learning across different industries. The University of Pittsburgh Medical Center, or UPMC for short, sprawls across 40 hospitals and provides services in various specialty areas, including living donor liver transplants (LDLT.)

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Conversational AI: How Advanced Chatbots Work

AltexSoft

Deep learning (DL) is a specific approach within machine learning that utilizes neural networks to make predictions based on large amounts of data. Neural nets are a set of algorithms in which the input data goes through multiple processing layers of artificial neurons piled up on top of one another to provide the output.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. It will use the same tool, Azure Pureview, and help you learn how to perform data ingestion in real-time. Strong proficiency in using SQL for data sourcing.