Tags
Language
Tags
May 2025
Su Mo Tu We Th Fr Sa
27 28 29 30 1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30 31
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Machine Learning: Hands-On for Developers and Technical Professionals Ed 2

    Posted By: arundhati
    Machine Learning: Hands-On for Developers and Technical Professionals Ed 2

    Jason Bell, "Machine Learning: Hands-On for Developers and Technical Professionals Ed 2"
    English | ISBN: 1119642140 | 2020 | 432 pages | PDF | 8 MB

    Dig deep into the data with a hands-on guide to machine learning with updated examples and more!
    Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference.
    At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to:
    Learn the languages of machine learning including Hadoop, Mahout, and Weka
    Understand decision trees, Bayesian networks, and artificial neural networks
    Implement Association Rule, Real Time, and Batch learning
    Develop a strategic plan for safe, effective, and efficient machine learning
    By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.