Old Search System: Machine Learning with Jupyter Notebooks in Amazon




  • Predictive Analytics with Microsoft Azure Machine Learning, First Edition

    English | PDF,EPUB | 2014 | 178 Pages | ISBN : 1484204468 | 8.88 MB


    Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses...


  • Machine Learning in Medicine Part Two

    English | PDF,EPUB | 2013 | 234 Pages | ISBN : 9400768850 | 5.81 MB


    Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, and fuzzy modeling....


  • Machine Learning in Medicine Part Three

    English | PDF,EPUB | 2013 | 234 Pages | ISBN : 9400778686 | 5.84 MB


    Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling,...


  • Machine Learning in Medicine by Ton J. Cleophas

    English | PDF,EPUB | 2013 | 271 Pages | ISBN : 9400758235 | 6.10 MB


    Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research...


  • Machine Learning for Audio, Image and Video Analysis Theory and Applications, Second Edition

    English | PDF,EPUB (Both True) | 2015 | 564 Pages | ISBN : 1447167341 |...


    This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts,...


  • Machine Learning for Adaptive Many-Core Machines - A Practical Approach (True PDF)

    English | PDF | 2015 | 251 Pages | ISBN : 3319069373 | 17.95 MB


    The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to...


  • Ensemble Machine Learning Methods and Applications

    English | PDF,EPUB (Both True) | 2012 | 332 Pages | ISBN : 1441993258 |...


    It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed "ensemble learning" by researchers in computational intelligence and machine learning, it is known to improve a decision system's robustness and accuracy. Now, fresh developments are...


  • Compression Schemes for Mining Large Datasets A Machine Learning Perspective

    English | PDF,EPUB | 2013 | 208 Pages | ISBN : 1447156064 | 3.99 MB


    This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and...


  • Applied Machine Learning (True)

    English | PDF,EPUB (Both True) | 2019 | 496 Pages | ISBN : 3030181138 |...


    Machine learning methods are now an important tool for scientists, researchers, eeers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren't necessarily going to want to be machine learning researchers. Intended...


  • Python Machine Learning: Projects, Tips And Troubleshooting

    Python Machine Learning: Projects, Tips And Troubleshooting https://www.udemy.com/course/python-machine-learning-projects-tips-and-troubleshooting/ Practical solutions to Machine Learning problems, avoiding...


    Machine learning is one of the most sought-after skills in the market giving you powerful insights into data. Today, implementations of Machine Learning are adopted throughout Industry and its concepts are many. Python makes this easier with its huge set of libraries that can be used for Machine Learning. The...


  • Machine Learning Model Serving Patterns and Best Practices

    English | 2022 | ISBN: ‎ 1803249900 | 336 pages | True PDF | 25.08...


    Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational use Key Features Book Description Serving patterns enable data science and ML teams to bring their models to production. Most ML models are not deployed for consumers,...


  • Arduino V Machine Learning

    English | 2023 | ISBN: 3031218760 | 213 pages | True PDF,EPUB | 58.39 MB


    ​This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all. This book, "Arduino V: AI and Machine Learning," is an accessible pr...


  • Foundations of Machine Learning 2nd Edition (Solution Manual Instructor Resources)

    English | PDF/PNG | 2018 | 505 Pages | 0262039400 | 26.48 MB


    A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while...