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Master the following capabilities and you'll be able to use artificial intelligence to succeed in your career:

1. Programming skills:

Master at least one commonly used programming language, such as Python, Java, JavaScript, etc., and be able to use artificial intelligence-related tools and libraries, such as TensorFlow, PyTorch, scikit-learn, etc.

2. Machine learning theoretical knowledge:

Understand the basic concepts, algorithms and applications of machine learning, such as linear regression, logistic regression, decision trees, support vector machines, neural networks, deep learning, natural language processing, computer vision, etc.

3. Practical application ability:

Able to apply machine learning theoretical knowledge to practical problems, such as data analysis, data mining, data visualization, model training, model evaluation, model optimization, etc.

4. Continuous learning ability:

keep up with the latest developments and trends in the field of artificial intelligence and persist in learning, such as reading papers, taking courses, participating in projects, participating in competitions, etc.

5. Professional knowledge:

In-depth study and research in a certain sub-field of artificial intelligence, such as natural language processing, computer vision, speech recognition, recommendation systems, etc., and become an expert in this field.