One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find ac...
Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera) This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees...
Looking for a machine learning algorithms list? Explore key ML models, their types, examples, and how they drive AI and data science advancements in 2025.
Furthermore, the integration of machine learning with genetic algorithms provides a solution to achieve efficient and clean combustion in hydrogen-enriched ... Y Zhu,Z He,T Xuan,... - 《Applied Energy》 被引量: 0发表: 2024年 Design and optimization of spherical agglomeration process based on ...
scikit-learn A set of python modules for machine learning and data mining 29 urllib3 HTTP library with thread-safe connection pooling, file post, and more. 27 scipy Fundamental algorithms for scientific computing in Python 27 torch Tensors and Dynamic neural networks in Python with strong GPU ac...
OpenAI Gym.A toolkit for developing and comparing reinforcement learning algorithms. #reinforcementlearning #openai #python 2016-04-13 CreativeAi.A space to share research and experiments that deal with Creativity and A.I. #art #ai 2016-04-12 ...
fields institute Optimization: Theory, Algorithms, Applications Lecture Series International Conference on Information Geometry for Data Science Institute for Data Science Foundations Blogs machine learning Lil'Log Archive probability: Random Fields Diffusion processes and other random processes. Johannes Kepler ...
A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated if:...
Understanding Machine Learning: From Theory to Algorithms Author: Shai Shalev-Shwartz and Shai Ben-David For the mathematics- savvy people, this is one of the most recommended books for understanding the magic behind Machine Learning. Deep Learning Tutorial Author: LISA lab, University of Montreal ...
if you know nothing about machine learning and haven't done maths since high school then this is the book for you. it's a fantastically accesible introduction to the field. includes almost no theory and explains algorithms using actual python implementations. ...