Python Machine Learning; Machine Learning and Deep Learning with ...

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data science and machine learning, including a machine learning tutorial at SciPy, the leading conference for scientific
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About the Author Sebastian Raschka, author of the best selling Python Machine Learning, has many years of experience with coding in Python and has given several seminars on the practical applications of data science and machine learning, including a machine learning tutorial at SciPy, the leading conference for scientific computing in Python. Sebastian loves to write and talk about data science, machine learning, and Python, and he's motivated to help people developing data-driven solutions without necessarily requiring a machine learning background. His work and contributions have recently been recognized by the departmental outstanding graduate student award 2016-2017. In his free time, Sebastian loves to contribute to open source projects, and methods that he implemented are now successfully used in machine learning competitions such as Kaggle.Vahid Mirjalili obtained his Ph.D. in mechanical engineering working on novel methods for large-scale, computational simulations of molecular structures. Currently, Vahid is focusing his research efforts on applications of machine learning in various computer vision projects in the Department of Computer Science and Engineering at Michigan State University. He picked Python as his number one choice of programming language, and throughout his academic and research career has gained tremendous experience with coding in Python. He further taught the Python Programming for Engineering class at Michigan State University, giving him a chance to help students understanding different data structures and developing efficient code in Python. While Vahid's broad research interests are focused on deep learning and computer vision applications, he is especially interested in the fusion of neural networks for pedestrian detection in multispectral images. Read more

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