In this article, I outline a full curriculum for machine learning, considering this quarantine will stick around for at least 2 months. It is the most used language in Machine Learning/Data Science. You can learn the basics of it easily in 3 days. Follow along with this Youtube series by Sentdex. You will learn all the functional programming in Python.
Deep Learning is gaining more momentum and notoriety among the data science generation of this decade. A few years ago, it was not as mainstream as Machine Learning techniques, such as Logistic Regression and Random Forest for example. Nowadays, it is all about Neural Networks, Activation Functions, Multiple Layers, Drop-out, etc. There is good reason for this one, which is simply, Deep Learning has shown to perform better than Machine Learning algorithms at times. The following courses are famous among peers for knowledge on the new wave of Deep Learning and AI.
When the world's smartest companies such as Microsoft, Google, Alphabet Inc., and Baidu are investing heavily in Artificial Intelligence (AI), the world is going to sit up and take notice. Chinese Internet giant Baidu spent USD1.5 billion on research and development. And as proof of China's strong focus on AI and Machine Learning, Sinovation Ventures, a venture capital firm, invested USD0.1 billion in "25 AI-related startups" in the last three years in China and the U.S. Research shows that although genuine intelligence may still be a bit far off, AI and Machine Learning technologies are still expected to reign in 2017. Try reading up on Microsoft Project Oxford, IBM Watson, Google Deep Mind, and Baidu Minwa, and you'll understand what I am trying to get at. In 2015, Gartner's Hype Cycle for Emerging Technologies introduced Machine Learning (ML), and the graph showed (Figure 1) that it would reach a plateau in 2 to 5 years.
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