Learning From Dynamic Visualization

This volume tackles issues arising from today’s high reliance on learning from visualizations in general and dynamic visualizations in particular at all levels of education. It reflects recent changes in educational practice through which text no longer occupies its traditionally dominant role as the prime means of presenting to-be-learned information to learners.

Python with Machine Learning & Data Science, Data Visulation, Numpy & Pandas for Data Analysis, Kaggle projects from A-Z

Master Data Science and Machine Learning with Python: From Fundamentals to Practical Projects

The 121 revised full papers and 52 short papers presented together with the abstracts of 3 invited papers and those of the keynote speeches were carefully reviewed and selected from a total of 467 submissions. The papers cover a wide range of topics, including e-learning platforms and tools, learning resource management, practice and experience sharing, e-learning standards, mobile learning, education and remote classrooms, effectiveness of VR for education, life long learning, collaborative environments, remote group simulations, collaborative learning, virtual reality in education, game design and development, game engine development, game AI and artificial life, game physics, game rendering, virtual characters/agents, online/mobile game/video game, storytelling and game narrative, affective interaction in games, digital museum, digital heritage, animation techniques, augmented reality, and mixed reality.

Become a data visualizations expert with Python and Matplotlib 3 by learning effective data visualization recipes.

Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!