Machine Learning Intro for Everyone

Machine Learning Intro for Everyone

(0 reviews)
Share icon

The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

Key AI Functions:Artificial Intelligence (AI),Reinforcement Learning,Machine Learning,Deep Learning,Machine Learning Model Lifecycle

Description for Machine Learning Intro for Everyone

Features of Course

  • Contrast and contrast deep learning, machine learning, and artificial intelligence
  • Describe the process of developing machine learning models.
  • Distinguish between supervised and unsupervised machine learning.
  • Utilize metrics such as precision, recall, accuracy, and confusion matrices to assess classification models.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by IBM

    Duration: 3 weeks at 2 hours a week

    Schedule: Flexible

    Reviews for Machine Learning Intro for Everyone

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Machine Learning Intro for Everyone

    icon
    Paid

    The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

    #research #marketing
    icon

    Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

    #Artificial Intelligence (AI) #Data Science
    icon

    Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.

    #Artificial Intelligence (AI) #Data Analysis
    icon

    Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

    #Vector databases #RAG
    icon

    Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

    #Artificial Intelligence (AI) #ChatGPT
    icon

    Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

    #Business AI #Generation AI
    icon

    Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

    #Convolutional Neural Network #Information Engineering
    icon

    Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.

    #Artificial Intelligence (AI) #AI Use Cases
    icon

    Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.

    #Artificial Intelligence (AI) #Threat (Computer)
    icon

    Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.

    #Artificial Intelligence (AI) #Prompt Engineering
    icon