I believe that machine learning is the key to automatisation and I want to work in the industry. I have spent about 250 hours studying the subject and so far I have learned K-nearest neighbor, decision trees, regression, support vector machines, dimensionality reduction, baysian learning, hidden markov models, (normal) neural networks, backpropagation and dynamic programming. I am planning to learn:
*convolutional neural networks + CNN backpropagation
*recurrent neural networks + RNN backpropagation
*reinforcement learning
*GPU programming
*some framework like pytorch/tensorflow/CUDA

Am I on the right path to work in the industry /sci/?