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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

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 deep learning model to identify the polyp regions from the test images.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4 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. SQL for data migration 2.

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The Top Data Analytics and Science Influencers and Content Creators on LinkedIn

Databand.ai

Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. You can also check out his Medium page the boasts 7M+ views.