[Epub]$$ Python Machine Learning Machine Learning and Deep Learning with Python scikit-learn and TensorFlow 2nd Edition Book PDF EPUB

More documents

Recommendations

Info

Step-By Step To Download this book:Click The Button "DOWNLOAD"Sign UP registration to access Python Machine Learning: Machine Learning and DeepLearning with Python, scikit-learn, and TensorFlow, 2nd Edition & UNLIMITED BOOKSDOWNLOAD as many books as you like (personal use)CANCEL the membership at ANY TIME if not satisfiedJoin Over 80.000 & Happy Readers.[Epub]$$ Python Machine Learning: Machine Learning and Deep Learning withPython, scikit-learn, and TensorFlow, 2nd Edition Book PDF EPUB
[Epub]$$ Python Machine Learning: Machine Learning and Deep Learning with Python, scikitlearn,and TensorFlow, 2nd Edition Book PDF EPUB[Epub]$$ PythonMachine Learning:Machine Learning andDeep Learning withPython, scikit-learn,and TensorFlow, 2ndEdition Book PDFEPUBDescription'I bought the first version of this book, and now also the second. The new version is verycomprehensive. If you are using Python - it's almost a reference. I also like the emphasis on neuralnetworks (and TensorFlow) - which (in my view) is where the Python community is heading.I amalso planning to use this book in my teaching at Oxford University. The data pre-processingsections are also good. I found the sequence flow slightly unusual - but for an expert levelaudience, it's not a major issue.' --Ajit Jaokar, Data Science for IoT Course Creator and Lead Tutorat the University of Oxford / Principal Data Scientist Read more Sebastian Raschka, author of the bestselling book, Python Machine Learning, has many years of experience withcoding in Python, and he has given several seminars on the practical applications of data science,machine learning, and deep learning, including a machine learning tutorial at SciPy - the leadingconference for scientific computing in Python.While Sebastian's academic research projects aremainly centered around problem-solving in computational biology, he loves to write and talk aboutdata science, machine learning, and Python in general, and he is motivated to help people developdata-driven solutions without necessarily requiring a machine learning background.His work andcontributions have recently been recognized by the departmental outstanding graduate studentaward 2016-2017, as well as the ACM Computing Reviews' Best of 2016 award. In his free time,Sebastian loves to contribute to open source projects, and the methods that he has implementedare now successfully used in machine learning competitions, such as Kaggle.Vahid Mirjaliliobtained his PhD in mechanical engineering working on novel methods for large-scale,computational simulations of molecular structures. Currently, he is focusing his research efforts onapplications of machine learning in various computer vision projects at the Department ofComputer Science and Engineering at Michigan State University.Vahid picked Python as hisnumber-one choice of programming language, and throughout his academic and research careerhe has gained tremendous experience with coding in Python. He taught Python programming tothe engineering class at Michigan State University, which gave him a chance to help studentsunderstand different data structures and develop efficient code in Python.While Vahid's broadresearch interests focus on deep learning and computer vision applications, he is especiallyinterested in leveraging deep learning techniques to extend privacy in biometric data such as faceimages so that information is not revealed beyond what users intend to reveal. Furthermore, he
Page 4: also collaborates with a team of en

[Epub]$$ Python Machine Learning Machine Learning and Deep Learning with Python scikit-learn and TensorFlow 2nd Edition Book PDF EPUB

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?