Artificial intelligence (AI) is a complex and extensive field, and getting started can seem a bit daunting for newbies. However, with an orderly learning path and practice, you can grasp the basic concepts and skills of AI step by step. The following tutorials will help you get started with AI:
1.Learn basic math:
Make sure you have a solid foundation in mathematics, particularly linear algebra, probability theory, and statistics. You can use ** education platforms, such as Chinese University MOOC, NetEase Cloud Classroom, etc., to find the corresponding mathematics courses.
2.Master the Python programming language
Python is one of the most commonly used programming languages in the field of AI. You can learn the basic syntax and data structures of Python through MOOCs, tutorials, or books, such as Python Programming from Beginner to Practice.
3.Learn the fundamentals of machine learning:
Participate in the Machine Learning course offered by Andrew Ng, which can be found on the MOOC platform of Chinese universities. This is a great introductory course that covers the basic concepts of machine learning.
4.Familiarity with data science tools:
Learn to use data science and machine learning libraries in Python such as numpy, pandas, and scikit-learn. Learn how to do data analysis and modeling.
5.Deep LearningDeep Learning:
Participate in deep learning courses, such as Andrew Ng's Deep Learning course on Coursera. In addition, deep learning frameworks such as TensorFlow or PyTorch can be learned.
6.Participation in real projects:
Theoretical knowledge is applied in practice by participating in practical projects. There are some open source projects that can be found on github, or try to solve problems in the Kaggle contest.
7.Get involved in the community:
Join the domestic AI community, such as AI field columns, to exchange experiences with other learners and practitioners and get learning suggestions.
8.Learn Natural Language Processing (NLP):
If you're interested in natural language processing, you can take courses and textbooks. Primers on Natural Language Processing is a great book to deepen your understanding of NLP.
9.Pay attention to domestic AI conferences and seminars:
Participate in AI conferences and seminars held in China, such as CCF Conference, Alibaba Apsara Conference, etc. This will keep you up-to-date with the latest research and industry developments.
10.Consider AI-related certificates:
Consider obtaining well-known AI certifications at home and abroad, such as TensorFlow Developer Certificate, PyTorch Developer Certificate, etc., to enhance your competitiveness in the job market.
11.Continuous Learning:
AI is a field that is constantly evolving, and there is an attitude of continuous learning. Follow the research progress at home and abroad, read relevant academic **, and participate in more advanced courses and projects.
By following these tips, AI newbies can build a solid foundation step by step, gain real-world experience, gain an in-depth understanding of the field of AI, and succeed in their careers.