Deep Learning vs. Machine Learning: What's the Difference?

In recent years, the field of artificial intelligence (AI) has experienced rapid growth, driven by several factors including the creation of ASIC processors, increased interest and investment from large companies, and the availability of big data. And with OpenAI and TensorFlow available to the public, many smaller companies and individuals have decided to join in and train their own AI through various machine learning and deep learning algorithms. If you are curious about what machine learning and deep learning are, their differences, and the challenges and limitations of using them, then you're in the right place! Machine learning is a field within artificial intelligence that trains computers to intelligently make predictions and decisions without explicit programming. Depending on the training algorithm, machine learning may train a model through simple if-then rules, complex mathematical equations, and/or neural network architectures.