Algorithm Systems Transportation Unstructured Data 
Knowledge Hut
MAY 31, 2023
AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.
Monte Carlo
MAY 28, 2024
Data Transformation : Clean, format, and convert extracted data to ensure consistency and usability for both batch and real-time processing. Data Loading : Load transformed data into the target system, such as a data warehouse or data lake. Used for identifying and cataloging data sources.
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Knowledge Hut
APRIL 23, 2024
Drug Discovery and Development: By analyzing enormous volumes of biological, chemical, and clinical data, big data helps to speed up the drug discovery process, resulting in the identification of prospective therapeutic targets and more effective clinical trials.
Knowledge Hut
JUNE 27, 2023
Computer science is driving innovation in a variety of other industries, including healthcare, finance, & transport. Researchers in computer science are conducting groundbreaking work, developing algorithms for smart cities, discovering cures for diseases, and improving the efficiency of renewable energy.
Knowledge Hut
JULY 4, 2023
The method to examine unprocessed data for deriving inferences about specific information is termed data analytics. Several data analytics procedures got mechanized into mechanical algorithms and procedures. The task of the data analyst is to accumulate and interpret data to identify and address a specific issue.
Knowledge Hut
JANUARY 18, 2024
Data Science has wide applications in banking , finance, health care, fraud detection, marketing , etc. organizations can use Data Science to measure, track and record the performance of the companies and make decisions based on solid evidence. IBM has developed a system called IBM Cloud Pak for data.
Knowledge Hut
NOVEMBER 19, 2023
Machine learning for business is AI-based algorithms that can perform specific tasks without the need for explicit programming. They can be trained to identify data patterns and, based on them, make predictions when a new data set arrives. Thus, it becomes very difficult for them to manually analyze data on a regular basis.
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