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Author by : Dipanjan Sarkar Languange Used : en Release Date : 2017-12-20 Publisher by : Apress ISBN : 9781484232071 File Size : 49,5 Mb Total Download : 718
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive thre
Author by : Tinniam V. Ganesh Languange Used : en Release Date : 2019 Publisher by : ISBN : 1792969309 File Size : 46,7 Mb Total Download : 693
This is the 3rd edition of the book. All the code sections are formatted with fixed-width font Consolas for better readability. This book implements many common Machine Learning algorithms in equivalent R and Python. The book touches on R and Python implementations of different regression models, classification algorithms including logistic regression, KNN classification, SVMs, b-splines, random forest, boosting etc. Other techniques like best-fit, forward fit, backward fit, and lasso and ridge regression are also covered. The book further touches on classification metrics for computing accura
Author by : Sunila Gollapudi Languange Used : en Release Date : 2016-01-30 Publisher by : Packt Publishing Ltd ISBN : 9781784394011 File Size : 40,9 Mb Total Download : 713
Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark Comprehensive practical solutions taking you into the future of machine learning Go a step further and integrate your machine learning projects with Hadoop Who This Book Is For This book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundament
Author by : Himanshu Singh Languange Used : en Release Date : 2019-02-26 Publisher by : Apress ISBN : 9781484241493 File Size : 48,8 Mb Total Download : 453
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learnin