Description for NLP Specialization
Features of Course
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by DeepLearning.AI
Duration: 3 months at 10 hours a week
Schedule: Flexible
Pricing for NLP Specialization
Use Cases for NLP Specialization
FAQs for NLP Specialization
Reviews for NLP Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for NLP Specialization
This AI tool is powered cryptocurrency trading bots with advanced features like sophisticated mathematical models and sentiment analysis, providing traders with enhanced trading experiences and security.
Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!
Master the art of machine learning in the field of marketing. This five-course Specialization from Jindal Global Business School (JGBS) is designed for marketing professionals and individuals who are interested in acquiring a more comprehensive understanding of the process of conceptualizing effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.
Featured Tools
This introductory course examines machine learning applications in finance, culminating in a capstone project focused on predicting bank closures.
Develop Your Own Internet of Things (IoT) Device. In a mere six courses, develop and construct a basic IoT device.
The course page delves into the practical applications of machine learning algorithm paradigms, frameworks for interpreting results, and business data analysis.
Begin your AI voyage with our comprehensive course on Microsoft Azure, which covers key AI concepts, responsible AI principles, and preparation for the AI-900 certification exam. This course is suitable for both beginners and experienced professionals.
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.