AI questions checklist for student trying to learn AI

Understand the basics of artificial intelligence

Research the history and development of AI

Familiarize yourself with the main concepts and terminology in AI

Learn about supervised, unsupervised, and reinforcement learning

Understand the difference between classification and regression

Explore popular machine learning algorithms such as linear regression, logistic regression, decision trees, and neural networks

Study neural networks and their architecture

Learn about convolutional neural networks (CNNs) and recurrent neural networks (RNNs)

Explore popular deep learning frameworks like TensorFlow and PyTorch

Understand the basics of NLP and its applications

Learn about text preprocessing and feature extraction

Explore popular NLP techniques such as sentiment analysis, named entity recognition, and text generation

Study image processing techniques and computer vision algorithms

Learn about object detection, image segmentation, and image classification

Explore popular computer vision libraries like OpenCV and scikit-image

Consider the ethical implications of AI technologies

Explore bias and fairness in AI algorithms

Understand the impact of AI on society and the workforce

Research industries and sectors where AI is being used

Explore case studies and examples of AI applications in healthcare, finance, transportation, and more

Consider potential AI projects or applications you can work on to apply your knowledge

Work on AI projects and challenges on platforms like Kaggle or GitHub

Build and train your own machine learning and deep learning models

Collaborate with peers and mentors to enhance your AI skills

Stay updated on the latest trends and advancements in AI

Consider pursuing certifications or advanced degrees in AI or related fields

Attend conferences, workshops, and networking events to connect with professionals in the AI industry