From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
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Big data technologies
From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
Big data technologies
Big Data refers to vast volumes of structured, semi-structured, and unstructured data that can be collected, processed, and analyzed to extract meaningful insights. From an AI engineer's perspective, big data acts as the lifeblood for creating and fine-tuning artificial intelligence models. In the context of developing AI systems, an AI engineer utilizes big data in several crucial ways. First, the large data sets are leveraged for training AI models. Given that AI models learn and improve based on exposure to data, the more varied and extensive the data, the better the models can learn and generalize. For instance, in the case of machine learning, algorithms can identify patterns and learn from big data to predict future trends, customer behavior, or even medical outcomes. Second, big data plays a critical role in validating AI models. AI engineers employ separate subsets of data to test and verify the accuracy and reliability of the AI models developed, thereby ensuring that the…
Contents
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Skills for AI engineers2m 44s
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Programming languages4m 21s
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Machine learning3m 20s
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Deep learning2m 39s
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Data processing and analysis2m 50s
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Natural language processing3m 35s
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Computer vision2m 48s
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Cloud computing2m 33s
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Big data technologies2m 36s
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DevOps and AIOps3m 23s
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Communication and problem-solving2m 42s
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See you in the next course1m 1s
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