𝗠𝗟 𝘃𝘀 𝗗𝗟 𝗳𝗼𝗿 𝗜𝗼𝗧 𝗗𝗮𝘁𝗮 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

𝗠𝗟 𝘃𝘀 𝗗𝗟 𝗳𝗼𝗿 𝗜𝗼𝗧 𝗗𝗮𝘁𝗮 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

You need to classify IoT data. You have two main choices. Machine Learning (ML) and Deep Learning (DL).

Choosing the right one depends on your needs.

Machine Learning:

• Works fast.
• Needs less memory.
• Handles small datasets well.

Deep Learning:

• Finds complex patterns.
• Needs large amounts of data.
• Needs more computing power.

Pick your tool based on your hardware. Use ML for simple devices. Use DL for high-end servers.

Source: https://dev.to/paperium/performance-analysis-and-comparison-of-machine-and-deep-learning-algorithms-foriot-data-3l28

Optional learning community: https://t.me/GyaanSetuAi