We are glad to welcome you to my course machine learning with Python for dummies. This course will provide an overview and detail about the course. Artificial intelligence, machine learning, and deep learning neural networks are some of the most popular terms in technology. It is also one of the most misunderstood terms and confusing terms. Artificial intelligence is a wide spectrum of science that aims to make machines smarter than humans. Machine learning and neural networks are just two of the many subsets of this machine learning platform. Let's find out what machine learning is now. We were in our learning phase at that time, just like human babies. We learned to crawl, stand, and walk. Than we learned to speak simple sentences. Before we could walk and talk, there were many mistakes and trials. The most successful trials in walking and talking that gave us positive results were saved and used later. This is a machine learning mechanism. As we grew up, we started to think logically about many topics, and felt emotions. We continued to think and came up with solutions to everyday problems. This is what deep learning neural network scientists aim to do. Machine learning is the main focus of this course. This course prepares our machine for a prediction test. This is similar to how you prepare for the mathematics test at school or college. Learning and training ourselves is done by solving as many similar problems as possible. These are the 'training input and 'training output' respectively. The actual test comes next. The new problems will be very similar to those we've already learned. We must solve them based on our previous practice and learning experience. These problems can be called 'testing input', and our answers 'predicted output'. Our professor will later evaluate the answers and compare them with their actual answers. We call these actual answers 'test output'. On the basis of correct answers, a mark is given. This mark is called our "accuracy". This is the life of a data scientist and machine learning engineer. Our programming language is python. Python is an excellent tool for developing programs that perform data analysis and forecasting. There are tons of features and classes that perform complex mathematical analysis. However, the code is very simple and can be used to solve these problems in just a few lines. This means you don't need to be a math genius to learn machine learning and data science. Python makes it easy.
