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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

Data science in pharmaceutical industry is extensively used to improve its operations through applications such as predictive modeling, segmentation analysis, machine learning algorithms, visualization tools, etc., In this article, we have explained about data science in pharma, their use cases, o pportunities, and more.

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Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

I recommend checking out Data Science With Python course syllabus to start your data science journey. In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset.

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Top 15+ Data Analytics Projects [With Source Code]

Knowledge Hut

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Medical diagnosis is a fascinating data analytics project idea for final year students.

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Software Developer Salary in Singapore [2024 Market Overview]

Knowledge Hut

Some of the SQL skills to develop are as follows - Microsoft SQL Server Skills Database Management SQL Join Skills PHP Skills OLAP Skills Indexing Skills Execution Skills Technical SQL Data Analysis 3. These industries include companies that offer medical services, insurance, manufacturing drugs, or distributing medical equipment.

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Artificial Intelligence Career 2022

U-Next

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Also, experience is required in software development, data processes, and cloud platforms. .

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. There are several interrelated professions in the data mining industry, including business analyst and statistician.