Become an Expert in NLP and Computer Vision in just 4 Months

4-Month NLP and Computer Vision Roadmap

This roadmap is designed to provide a structured approach to learning the fundamentals of NLP and Computer Vision over 4 months. It assumes you have basic programming skills (ideally Python) and familiarity with linear algebra and basic statistics.

Month 1: Foundations

• Linear Algebra & Calculus Review: Brush up on linear algebra concepts like vectors, matrices, and eigenvalues, and basic calculus for understanding gradients and optimizations. This can be done through online resources.
  • Linear Algebra Link
  • Calculus Link

• Python Libraries: Learn the basics of popular Python libraries used in NLP and Computer Vision, such as:
  • NumPy: Numerical computing library
  • Pandas: Data manipulation and analysis
  • Matplotlib/Seaborn: Data visualization
  • Click here to Revise

Month 2-3: Deep Dive into NLP and Computer Vision

• Introduction to NLP and Complete Course:
  • Understand the basics of NLP, including text pre-processing (tokenization, stemming, lemmatization), text representation (bag-of-words, TF-IDF), and language modeling (n-grams).
  • Click here for the NLP Course

Introduction to Computer Vision and Complete Course:

• Grasp the fundamentals of computer vision, including image representation (pixels, channels), image processing (filtering, transformations), and basic image classification concepts.
• Click here for the Computer Vision Course

Month 4: Project & Specialization

• Week 1-4:
  • Apply your acquired knowledge and skills to a personal project in either NLP or Computer Vision.
  • This can be anything from building a sentiment analysis application to creating an image classification model.
  • Consider participating in online competitions like Kaggle or hackathons to further challenge yourself and gain practical experience.
• Click here for the NLP Projects
• Click here for the Computer Vision Projects

This roadmap is designed to be very concise and highly effective for you all. By following this roadmap, you’ll become an efficient professional. However, it will require a significant time investment and consistent effort from you. You’ll need to understand each concept thoroughly and then apply them in projects. Additionally, you’ll need to learn how to manage LinkedIn and GitHub effectively.