Can someone without computer science background become expert on deep learning?

Yes, someone without a computer science background can become an expert in deep learning. While a background in computer science or related fields can provide a solid foundation, deep learning and artificial intelligence are interdisciplinary fields that draw expertise from various domains, including mathematics, statistics, engineering, and more.

Here are some steps and considerations for someone without a computer science background to become proficient in deep learning:

1. Study Mathematics and Statistics: Deep learning heavily relies on linear algebra, calculus, and probability theory. Having a strong understanding of these mathematical concepts is essential for grasping the underlying principles of deep learning algorithms.
2. Learn Programming: Familiarize yourself with programming languages commonly used in deep learning, such as Python. Many deep learning frameworks and libraries are built around Python, making it a practical choice for beginners.
3. Online Courses and Tutorials: There are numerous online courses and tutorials available that cater to beginners without a computer science background. Platforms like Coursera, Udacity, and edX offer courses on deep learning that gradually introduce complex concepts.
4. Deep Learning Frameworks: Get acquainted with popular deep learning frameworks like TensorFlow and PyTorch. These frameworks provide high-level abstractions and tools that make it easier to implement deep learning models.
5. Read Research Papers and Blogs: Dive into research papers and blogs related to deep learning. This will help you stay updated on the latest advancements and gain insights from experts in the field.
6. Hands-On Projects: Practical experience is crucial for understanding deep learning concepts deeply. Work on hands-on projects, build models, and experiment with different datasets to gain proficiency.
7. Join Deep Learning Communities: Participate in online forums and communities where deep learning enthusiasts and experts share their knowledge and experiences. Engaging with the community can be invaluable for learning and problem-solving.
8. Attend Workshops and Conferences: If possible, attend workshops and conferences focused on deep learning. These events provide opportunities to network with professionals and learn from experts.
9. Be Patient and Persistent: Deep learning can be challenging, especially for beginners without a computer science background. Be patient with yourself, embrace challenges, and persistently work towards your goals.