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Data Analytics in Pharma: How Pfizer, Moderna, and Others Innovate Drug Development

AltexSoft

According to McKinsey’s analysis , the wider adoption of data-driven technologies could increase the business operating performance by 15 to 30 percent of EBIDTA (Earnings Before Interest, Taxes, Depreciation, and Amortization) in just five years. Improvements data analytics promises to bring for pharma. Clinical trials.

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

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Airbnb focuses on growth by analyzing customer voice using data science. Using data science, they can identify new targets for innovative medications.

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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. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

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Artificial Intelligence Career 2022

U-Next

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

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Most Common Use Cases of Data Engineering in Healthcare

phData: Data Engineering

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. However, data collection and analysis have been commonplace in the healthcare sector for ages.

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Understanding Generative AI: A Comprehensive Guide

Edureka

Generative AI’s magic comes from understanding the intricate structures and patterns in its training data. These algorithms frequently employ methods like Bayesian inference, Markov Chains, and maximum likelihood estimation to create new data. On top of these statistical models, more intricate architectural designs are built.