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Description of product
Exposure to data mining, data visualization and data analytics. Description The fields of machining adapting, profound learning, and computerized reasoning are quickly extending and are probably going to keep on doing as such for a long time to come. There are many main impetuses for this, as quickly caught in this review. Now and again, the advancement has been emotional, opening new ways to deal with long-standing innovation challenges, for example, progresses in PC vision and picture investigation. The book demonstrates how to solve some of the most common issues in the financial industry. The book addresses real-life problems faced by practitioners on a daily basis. The book explains how machine learning works on structured data, text, and images. You will cover the exploration of Na ve Bayes, Normal Distribution, Clustering with Gaussian process, advanced neural network, sequence modeling, and reinforcement learning. Later chapters will discuss machine learning use cases in the finance sector and the implications of deep learning. The book ends with traditional machine learning algorithms. Machine Learning has become very important in the finance industry, which is mostly used for better risk management and risk analysis. Relevant Links: Magenta Press Products Online, Dear Silver Lining Books Online, Life Is Enchanting Books Online, Taj Mahal Agra Y Fatehpur Sikri Spanish Books Online, Develop Self Confidence Improve Public Speaking 1 Books Online, Icse Primary Mathematics4 Books Online, Amazing Facts Books Online, Vyakaran Nidhi 8 Books Online, Civil Engineering Through Objective Type Questions 3Rd Revised Enlarged Edition Books Online
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| Brand | BPB Publications |
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1 Review
Machine Learning for Finance is a valuable read, offering insightful applications and a practical approach to ML in finance.Aug 2, 2023 4:17:21 PM
