Hi Ds MI,

a short blog which can give insights why ML is important before moving to DL or any advanced AI technology.

Happy learning!

Hello DS,

In the evolving landscape of machine learning and AI, the choice between focusing on core ML or exploring AI depends on your aspirations. Core ML forms the bedrock of understanding, which remains valuable regardless of the era. Simultaneously, AI's new wave offers exciting opportunities.

Remember that AI and core ML aren't separate entities; they intertwine. Mastering core ML equips you to grasp AI's advancements better. Consider building a strong foundation in core ML while keeping an eye on AI trends – a balanced approach that ensures you're equipped for the future.

Building a solid understanding of ML, along with basic statistics and mathematics, is like laying the foundation for constructing the AI skyscraper. Without a grasp of Core ML principles, it becomes challenging to navigate the complexities of AI effectively.

Core ML involves algorithms, predictive modeling, and statistical techniques that serve as the backbone for more advanced AI applications.

Delving into ML equips you with the essential toolkit to comprehend the nuances of AI, making it a crucial stepping stone.

In essence, success in AI is intricately linked to a robust understanding of Core ML. It's not just about keeping up with the latest trends; it's about mastering the fundamentals, allowing you to unravel the true potential of Artificial Intelligence. So, consider Core ML as your launchpad, propelling you into the captivating realms of AI innovation.