1 Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems - Couverture souple
Synopsis
Do you want to learn how to apply efficiently your Python knowledge to implement learning models? Do you want to understand which ones are the best libraries to use and why is Python considered the best language for machine learning? What do you need to learn to move from being a complete beginner to someone with advanced knowledge of machine learning?
Tech is slowly moving towards high-level automation, robotics, machine learning, artificial intelligence, big data and other high level computing concepts.
That's why self-driving cars, customized product recommendations, real time pricing, facial recognition, retargeting ads, geo-targeting, using bots for customer service and much more is a thing these days.
So if you ever want to leverage the full power of any of these advanced computing concepts, now is the right time to get in!
So where do you even start?
Well, my recommendation is to start by learning machine learning, as that will effectively help you to understand the ins and outs of how to build intelligent systems.
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