Answer Posted / Nripendra Chandra Verma

The basics of machine learning include understanding algorithms, models, and techniques used to enable a computer system to learn from data and make predictions or decisions without being explicitly programmed. Key concepts include supervised learning (where the algorithm learns from labeled data), unsupervised learning (where the algorithm learns from unlabeled data), reinforcement learning (where an agent learns by interacting with an environment), and deep learning (which uses neural networks with many layers to model complex patterns).

Tell me what are the last machine learning papers you've read?

208

Tell us do you have research experience in machine learning?

149

Do you have research experience in machine learning?

73

What are standardization and normalisation? Give one advantage of each over the other?

74