Bridging AI and Cognitive Science (BAICS)
This page contains a non-exhaustive, community-curated list of resources for machine learning practitioners to learn more about cognitive science.
#ML
#cognitive
#resources
@scientific_programming
This page contains a non-exhaustive, community-curated list of resources for machine learning practitioners to learn more about cognitive science.
#ML
#cognitive
#resources
@scientific_programming
Scientific Programming
The Elements of Statistical Learning https://web.stanford.edu/~hastie/Papers/ESLII.pdf #learning #book @scientific_programming
GitHub
GitHub - empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks: A series of Python Jupyter notebooks that help you better…
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book - empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks
This website provides one of the most lightweight introductions to #machine_learning I have seen.
If I were to start learning #ML all over again, the structure and concepts covered in this resource would provide a good start.
got from Omarsar0
If I were to start learning #ML all over again, the structure and concepts covered in this resource would provide a good start.
got from Omarsar0
Machine learning in Python with scikit-learn
Ref. 41026
Duration: 8 weeks
Effort: 35 hours
Pace: ~4h15/week
Build predictive models with scikit-learn and gain a practical understanding of the strengths and limitations of machine learning!
#ML
#scikit_learn
#course
Ref. 41026
Duration: 8 weeks
Effort: 35 hours
Pace: ~4h15/week
Build predictive models with scikit-learn and gain a practical understanding of the strengths and limitations of machine learning!
#ML
#scikit_learn
#course
FUN MOOC
Machine learning in Python with scikit-learn
Build predictive models with scikit-learn and gain a practical understanding of the strengths and limitations of machine learning!
Machine learning, computer vision, statistics and general scientific computing for .NET
https://github.com/accord-net/framework
#ML
https://github.com/accord-net/framework
#ML
GitHub
GitHub - accord-net/framework: Machine learning, computer vision, statistics and general scientific computing for .NET
Machine learning, computer vision, statistics and general scientific computing for .NET - accord-net/framework
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.
http://databookuw.com/
Matlab and Python codes available.
Video lectures by authors available on YouTube.
#book
#course
#ML
Steven L. Brunton, J. Nathan Kutz
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.
http://databookuw.com/
Matlab and Python codes available.
Video lectures by authors available on YouTube.
#book
#course
#ML
Statistics and Machine Learning in
Python.pdf
Python.pdf
11.9 MB