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Dig deep into the data with a hands-on guide to machine learning 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.
Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies albalate amparo semi supervised and unsupervised machine learning novel strategies
H. Schwartz M. Multi-Agent Machine Learning. A Reinforcement Approach albalate amparo semi supervised and unsupervised machine learning novel strategies
Parag Kulkarni Reinforcement and Systemic Machine Learning for Decision Making albalate amparo semi supervised and unsupervised machine learning novel strategies
Ilya Narsky Statistical Analysis Techniques in Particle Physics. Fits, Density Estimation and Supervised Learning albalate amparo semi supervised and unsupervised machine learning novel strategies
Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis albalate amparo semi supervised and unsupervised machine learning novel strategies
Ling Guan Unsupervised Learning. A Dynamic Approach albalate amparo semi supervised and unsupervised machine learning novel strategies
Singing And Dancing Robot Early Learning Learning Machine Story Machine Intelligent Robot albalate amparo semi supervised and unsupervised machine learning novel strategies
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Tony Guida Big Data and Machine Learning in Quantitative Investment albalate amparo semi supervised and unsupervised machine learning novel strategies
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Rebecca Jackson Williams The Complete Learning Disabilities Handbook. Ready-to-Use Strategies and Activities for Teaching Students with Learning Disabilities albalate amparo semi supervised and unsupervised machine learning novel strategies
Jun Yu Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research albalate amparo semi supervised and unsupervised machine learning novel strategies
Sons and Lovers albalate amparo semi supervised and unsupervised machine learning novel strategies
Semi-auto Soft Tube Filling and Sealing Machine albalate amparo semi supervised and unsupervised machine learning novel strategies
Jason Bell Machine Learning. Hands-On for Developers and Technical Professionals albalate amparo semi supervised and unsupervised machine learning novel strategies


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