Machine Learning / Deep Learning (AI)
In traditional software programming we used volumes of predefined if-then statements to make computers work. But with machine learning we simply feed the computer lots of data (images, video, audio). An algorithm then looks at all of the data in search of patterns in order to learn on its own — the same way my daughter learned to recognize a cat when she was two years old.
AI has taken of because we now have lots more data, lower storage costs and lower computing costs. AI is about reducing the cost of prediction for better decision making.
We will dive deeper into AI (machine learning, deep learning, neural networks) and understand the difference between supervised learning, unsupervised learning and reinforcement learning).