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Specializations + Courses |
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| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning deeplearning.ai |
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| Sequence Models deeplearning.ai |
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| Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization deeplearning.ai |
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| Reinforcement Learning University of Alberta, Alberta Machine Intelligence Institute | Specialization (4 courses) |
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| Applied Machine Learning in Python University of Michigan |
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| IBM Applied AI IBM | Professional Certificate (6 courses) |
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| Neural Networks and Deep Learning deeplearning.ai |
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| IBM AI Engineering IBM | Professional Certificate (6 courses) |
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| Data Mining University of Illinois at Urbana-Champaign | Specialization (6 courses) Part of a Master's Degree |
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| Python Data Structures University of Michigan |
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| Convolutional Neural Networks in TensorFlow deeplearning.ai |
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| Using Python to Access Web Data University of Michigan |
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| Programming for Everybody (Getting Started with Python) University of Michigan |
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| Using Databases with Python University of Michigan |
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| Introduction to Deep Learning National Research University Higher School of Economics |
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| Applied Plotting, Charting & Data Representation in Python University of Michigan |
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| Probabilistic Graphical Models 1: Representation Stanford University |
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| Practical Machine Learning Johns Hopkins University |
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| The Data Scientist’s Toolbox Johns Hopkins University |
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| Algorithms, Part I Princeton University |
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| Mathematics for Machine Learning: Linear Algebra Imperial College London |
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| Bayesian Methods for Machine Learning National Research University Higher School of Economics |
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