黑料网

ISSN: 2277-1891

International Journal of Advance Innovations, Thoughts & Ideas
黑料网

Our Group organises 3000+ Global Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ 黑料网 Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

黑料网 Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Machine Learning

Machine Learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy. Allowing them to make predictions on new, similar data without explicit programming for each task. Traditional machine learning combines data with statistical tools to predict outputs, yielding actionable insights. This technology finds applications in diverse fields such as image and speech recognition, natural language processing, recommendation systems, fraud detection, portfolio optimization, and automating tasks.

Machine Learning

Expert PPTs

Speaker PPTs

  • Raja Roy
    Disruption in the US machine tool industry: The role of in house users and pre-disruption component experience in fi rm response
    | PDF Version
  • Su-Fen Cheng
    Flipping the classroom to improve self-directed learning for RN to BSN students in Taiwan
    | PDF Version
  • Jet Jet K Dongui-Is
    Learning and teaching styles of student nurses
    | PDF Version
  • John Francis Oketcho
    Effectiveness of community based learning networks (CBLNs) in provision of intergraded HIV/AIDS and reproductive health services to cross boarder mobile population case study of Busia hot spot
    | PDF Version
  • Ravikant V Adake
    Improved machinery and agricultural practices for inclusive growth of farmers in dryland: Opportunities and challenges
    | PDF Version
  • Alexander von Gabain
    Learning from the EIT: Driving Innovation through Ecosystems that Foster Entrepreneurship
    | PDF Version
  • Ashenafi Girma Tefera
    The effect of acute and sub-acute exposure to crude khat (Catha edulis F.) extract on learning and memory in rodents
    | PDF Version
Conference Proceedings