Machine learning is a type of artificial intelligence (AI) that lets computers understand data and make decisions without being explicitly programmed. It’s used in a wide range of applications, from predicting our tastes in music and movies to detecting fraud and saving lives in the medical field.
Introduction to Machine Learning and AI, History of AI, Supervised vs Unsupervised learning, Examples of Machine Learning, What is AI, Current state of AI, Benefits and dangers of AI, How the brain works, Neurons and synapses, Current research in AI, Deep Learning, Neural Networks, Current applications of AI, Examples in our lives, Similarities and differences between human intelligence and AI, Can machines think like humans? Turing Test, Current challenges in AI, Data collection, Data bias, Data interpretation, Data overfitting, Data underfitting, Data normalization, Data accuracy, Data veracity, Data accessibility, Data ethics, Data privacy, Data responsibility, Risks of AI, Automation and job loss, Autonomy,
The field of machine learning has been around for a long time. It was originally called artificial intelligence, and it has evolved a lot since then. Today, machine learning is mostly used to make computers and machines better at understanding and responding to the world around them. It is used in a variety of contexts, including making devices like smartphones smarter and more responsive, predicting outcomes and making decisions, and even programming computers without having to specify each step in the process.
What is machine learning? �� Machine learning is a type of programming that allows computers to improve their performance without being explicitly programmed. It’s a way of programming computers to “learn” from experience and improve their performance without being explicitly programmed. It’s a way of programming computers to “learn” from experience.
What is machine learning? Well, that depends on what you mean by “machine learning.” But if you’re talking about the broad field of “artificial intelligence”—which is the broader field that machine learning is a subfield of—the answer is that machine learning is a branch of computer science that deals with programming computers to understand and analyze data so that they can make predictions and decisions and solve problems.
Transformation! 