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Today's Technology-Data Science
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Refer these books to have a thorough knowledge of Artificial intelligence
- Explore the machine learning landscape, particularly neural nets
- Use Scikit-Learn to track an example machine-learning project end-to-end
- Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
- Use the TensorFlow library to build and train neural nets
- Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
- Learn techniques for training and scaling deep neural nets
- Chatbots, robots, other automated functions, and how these will revolutionize society
- Which industries will be disrupted and how to forward-plan
- How new jobs emerge and what skills you'll need to take advantage of them
- Why ethical standards and re-education are crucial for a modern workforce
- Charts, visual guides, and infographics to expand your understanding and much, much more!