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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
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Handbook of Design Research Methods in Education: Innovations in Science, Technology, Engineering, and Mathematics Learning and Teaching
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Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)
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Crosscutting Concepts: Strengthening Science and Engineering Learning
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Mastering Python: Machine Learning, Data Structures, Django, Object Oriented Programming and Software Engineering (Including Programming Interview Questions) [2nd Edition]
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Python Data Engineering Resources: Forge Your Path to Success in Data Engineering, Machine Learning and AI (Future-Proof Tech Skills: Including AI, Python, SQL, Linux And More Book 1)
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Physics for Science & Engineering (Learning Guide)
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Systems Engineering, Systems Thinking, and Learning (Understanding Complex Systems)
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STEM in Early Childhood Education: How Science, Technology, Engineering, and Mathematics Strengthen Learning
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by Richard W. Hamming :: The Art of Doing Science and Engineering: Learning to Learn-Hardcover
Unknown Author
Engineering and Technology Education Learning by Design
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Software Engineering: Effective Teaching and Learning Approaches and Practices
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Theory and Methods for Sociocultural Research in Science and Engineering Education (Teaching and Learning in Science Series)
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STEM in Early Childhood Education: How Science, Technology, Engineering, and Mathematics Strengthen Learning
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Intelligent Data Engineering and Automated Learning -- IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings (Lecture Notes in Computer Science, 6936)
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Software Engineering: Effective Teaching and Learning Approaches and Practices
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Stem in Early Childhood Education: How Science, Technology, Engineering, and Mathematics Strengthen Learning
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Engineering Play: A Cultural History of Children's Software (John D. and Catherine T. Macarthur Foundation Series on Digital Media and Learning)
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Data Science and Engineering – Volume 3 Advanced Learning, Deployment and Deep Learning: with exercises in Orange, Python and Keras/Tensorflow (Data Science and Engineering - A learning path)
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