Data Science

Fake News Detection with ML

(0 reviews)
Share icon
Coursera With GroupifyAI

Learn to develop a text processing pipeline and understand LSTM and Recurrent Neural Networks to train and assess deep learning models.

Key AI Functions:Python Programming, Machine Learning, Artificial Intelligence(AI), Natural Language Processing

Description for Fake News Detection with ML

  • Develop a pipeline that eliminates stop words, performs tokenization, and applies padding.
  • Comprehend the theory and intuition that underlie LSTM and Recurrent Neural Networks
  • Assess the efficacy of the deep learning model and train it.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 2 hours at your own pace

    Schedule: Hands-on learning

    Reviews for Fake News Detection with ML

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Fake News Detection with ML

    Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.

    #bitcoin #financial services
    Visit icon

    A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.

    #artificial intelligence #data science
    Visit icon

    In this course, students gain the skills necessary to use Python for data science, machine learning, and foundational applications of artificial intelligence.

    #scientific methods #data science
    Visit icon

    Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.

    #artificial intelligence #machine learning
    Visit icon

    Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.

    #software versioning #operations
    Visit icon

    Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.

    #artificial intelligence #education
    Visit icon

    The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.

    #machine learning #data engineering
    Visit icon

    From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.

    #algorithms #unsupervised learning
    Visit icon

    A program that emphasizes the practical implementation of data science and machine learning to overcome obstacles through the use of Python.

    #machine learning #data ingestion
    Visit icon

    In-depth study of the applications of machine learning and computer vision, as well as practical experience in data analysis and Python programming.

    #machine learning #architectural design
    Visit icon