MACHINE LEARNING COURSE

MACHINE LEARNING

Machine learning ( ML) isn't new. However, the field of big data is revitalizing the subject and more organizations are relying on machine learning models to scale their operations, support staff in working  better and faster, to uncover hidden insights from data or even confirm and challenge underlying assumptions. There is creating widespread interest in related topics with the c-suite, and across business lines and job roles ,as enterprises embrace the value  of article  intelligence (AI) and machine learning (ML).To make a disruptive organizational impact ,AI and machine learning need to be understood  and trusted. by consulting these machine learning blogs from authoritative individuals and organizations that satisfy different skill levels, readers can increase their understanding and comfort level in these areas, get pressing questions answered, and connect with others who have experience using them to great benefit.

  1. OPEN AI  comes from industry experst who want to bring AI to the masses It's linkes to the non- profit research company openAI, co-chaired by elon musk and scam altman web services ,micrisoft, and Infosys who are trying to make AI accessible- hence the name , contributors discuss their collective efforts to promote and advance AI technologies though long-term research. It's a valuable resource for anyone interested in the future of AI 
  2. DISTILL                                                                                                                                             managed by: shan carter, chris olah, and arvind satyanrayan                                                    Distill concentrates on making machine learing and AI more accessible for readers. Traditional research can be difficult to consume so distill communicates machine learing research in appealing, interactive data visualizations. It acts as a neutral platform for miltiple authors to publish together , and articles are peer- reviewed, appearing in google scholar. distill is also registered with the library of comngress and crossref.
  3. MACHINE LEARNING IS FUN                                                                                                          Authored by: Adam Geitgey.                                                                                                                           Machine Learning is fun is a valuable introductory biog. It covers the tenets of machine learing though interactive tutorials and practical examples, which make it easier to see the useful applications. Author Adam Geitgey is a former software developers should have a strong working knowledge, so he provides guides and techniques to help them develop and grow 



 




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