From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Deep learning
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Deep learning
Deep learning is one of the most exciting and powerful branches of artificial intelligence today. It's what drives advanced image recognition, speech processing, and language models like chatGPT. But what exactly is deep learning? And how does it relate to machine learning? Deep learning is a specialized area within machine learning that uses complex models inspired by how the human brain works to process data. These models are known as deep neural networks. Traditional machine learning often depends on humans telling the computer which variables within the data to focus on when learning patterns. Deep learning, by contrast, automatically identifies which variables to focus on and learns meaningful patterns through multiple layers of processing, each layer capturing more complex relationships. Think of it like a teacher showing a student hundreds of photos of different animals without ever listing the features that define each one. Over time, the student begins to recognize dogs…
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Contents
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The AI lifecycle1m 39s
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Business alignment in the AI lifecycle1m 43s
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Data collection2m 20s
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Data preparation3m 15s
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Model development and selection2m 13s
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Model evaluation and validation2m 29s
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Model deployment and integration3m 25s
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Monitoring and maintenance3m 19s
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Manipulating application integrations4m 8s
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AI supply chain attacks2m 4s
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Insecure plug-in design2m 9s
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Insecure output handling1m 23s
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Output integrity attacks2m 8s
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Model denial of service1m 31s
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Excessive agency1m 33s
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Overreliance1m 34s
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AI hallucinations1m 4s
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Monitoring prompts and responses2m 51s
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Log monitoring4m 30s
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Rate and cost monitoring5m 1s
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Auditing for AI hallucinations3m 33s
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Auditing for accuracy3m 29s
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Auditing for bias and fairness4m 35s
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Auditing access and security compliance3m 48s
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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