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The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4 SQL for data migration 2.
Application and Use Cases of Data Science in Healthcare The healthcare industry is revolutionizing by applying advanced-level machine learning and data analytics. Discovering drugs The major contribution of data science in the pharmaceutical industry is to provide the groundwork for the synthesis of drugs using Artificial Intelligence.
Needless to say, the applications of machine learning go far beyond recommendation engines and into many other fields. Some of the applications with promising career prospects include healthcare, finance, insurance, pharmaceuticals, farming, retail, oil and gas, and more. TensorFlow TensorFlow is another framework of Python.
And, scientists working at various pharmaceutical companies are thus trying to utilize artificial intelligence technology for improving its diagnosis so that medical practitioners can save many more human lives. Your task is to train a deeplearning model to identify the polyp regions from the test images.
Pharmaceutical Driving innovation with NLP: Novo Nordisk. Different pharmaceutical companies across the globe could synthesize Covid 19 vaccines by analyzing the data to understand the trends and patterns of the outbreak. Opt for the best businessanalyst training elevating your expertise.
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