Hey all, so recently I have almost completed the 2nd course of Machine Learning Specialization (Advanced Learning Algorithms). To continue, many people recommended me to go to Deep Learning Specialization. However, I saw that the syllabus for the first course at Deep Learning Specialization (Neural networks and Deep Learning) is kind of the same as the second course in the Machine Learning Specialization (Advanced Learning Algorithms)
Congrats on almost completing the second course of the Machine Learning Specialization! It’s great to hear you’re making progress. You’re right that the topics in the first course of the Deep Learning Specialization might seem similar to what you’ve covered in Advanced Learning Algorithms. However, the Deep Learning Specialization dives deeper into neural networks and their applications, especially in areas like computer vision and medical imaging, which aligns with your interest in classifying malignant diseases.
If you’re focusing on medical imaging, I’d highly recommend continuing with the Deep Learning Specialization. The convolutional neural networks (CNNs) and other deep learning techniques covered in the later courses are essential for image-based tasks like detecting and classifying diseases.
Once you finish the Deep Learning Specialization, you might want to look into the AI for Medicine Specialization, which focuses on detecting objects in medical images and other health-related applications. Additionally, exploring the third course in the TensorFlow: Advanced Techniques Specialization, which covers Computer Vision, will help you gain a deeper understanding of image-related tasks and techniques.
On another note, I’m working on a UX project to improve learning paths within DeepLearning.AI, with specializations like Computer Vision, NLP, and others. If you’re interested, I’d love to hear about your objectives, your current role, and any challenges you’ve faced in finding a structured learning path in AI. Your input would help me a lot, and I can share a prototype of the learning path design that I’m working on in a couple of weeks. No pressure, but your insights would be invaluable!
Looking forward to hearing from you and best of luck with your studies!
