Description for Fake News Detection with ML
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
Pricing for Fake News Detection with ML
Use Cases for Fake News Detection with ML
FAQs for Fake News Detection with ML
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
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.
Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
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.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Featured Tools
Learn to leverage advanced algorithms and data structures for efficient data management, algorithm development, and application performance optimization.
By providing learners with a comprehensive understanding of statistical analysis and modeling, this course enables them to extract valuable insights from data using R.
Using k-nearest neighbors, k-means, and probabilistic modeling techniques, participants will use Python to develop clustering and document retrieval systems.
This program offers training and tools in cloud engineering to prepare for the Google Cloud Associate Cloud Engineer certification test, enhancing skills and confidence in cloud computing.
Learn about the foundational AI and ML concepts and Google Cloud's offerings to explore the future of business technology.