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http://www.onlinefreeebooks.net/free-ebooks-computer-programming-technology/artificial-intelligence/artificial-intelligence-course-material-pdf.html (accessed on February 10, 2011) Jordan, M.: An introduction to Graphical Models, Center for Biological and Computational Learning, Massachusetts Institute of...
Geron, A. Hands-on Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems; " O'Reilly Media, Inc.," 2017.Geron, A. Hands-on Machine Learning with Scikit-Learn and TensorFlow... ...
Neural network classification is one of the most interesting and sophisticated topics in all of machine learning. One way to think of a neural network is as a complex mathematical function that accepts one or more numeric inputs and generates one or more numeric outputs.Figure 5-a: Neural ...
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It covers model-based and model-free methods, introduces the OpenAI Gym environment, and combines deep learning with RL to train an agent that navigates a complex environment. Finally, we'll show you how to adapt RL to algorithmic trading by modeling an agent that interacts with the financial...
Learn about the roles of tokens and parameters in machine learning AI-based testing, detailing how they enhance test accuracy and efficiency by interpreting complex scenarios and learning from past data. April 23, 2024 Breaking the 'Salesy' Stereotype: Leading the Charge in AI with EQ and IQ ...
Develop predictive, descriptive, & analytical models with SPM, Minitab's integrated suite of machine learning software. Explore powerful data mining tools.
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Buy on AmazonBuy on ebooks.com Startyourfree trial Book description Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this bo...