What should I learn first Machine learning or AI?

When deciding between learning machine learning or artificial intelligence (AI) first, it's important to understand the relationship between the two fields. Machine learning is a subset of AI that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. On the other hand, AI is a broader field that encompasses various subfields, including machine learning. Considering this, it is generally recommended to start by learning the basics of machine learning before diving into broader AI concepts. Machine learning forms a fundamental building block for AI applications, and understanding it will provide you with a solid foundation for exploring more advanced AI techniques later on. Here's a suggested learning path: Python programming: Begin by gaining proficiency in Python, as it is widely used in both machine learning and AI. Fundamentals of mathematics and statistics: Familiarize yourself with essential concepts such as linear algebra, calculus, and probability/statistics. These subjects form the basis for understanding many machine learning algorithms. Machine learning basics: Start by learning about supervised learning algorithms (e.g., linear regression, logistic regression, decision trees) and unsupervised learning algorithms (e.g., clustering, dimensionality reduction). Gain an understanding of model training, evaluation, and validation techniques. Deep learning: Once you have a grasp of machine learning fundamentals, you can explore deep learning, a subfield of machine learning focused on neural networks. Learn about concepts like artificial neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). AI applications and broader topics: With a solid understanding of machine learning and deep learning, you can expand your knowledge to broader AI topics. This includes natural language processing (NLP), computer vision, reinforcement learning, and other specialized AI techniques.