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
A four-week course that explores the ethical and societal implications of artificial intelligence, addressing topics such as AI bias, surveillance, democracy, consciousness, responsibility, and control, and fostering reflection and discussion on these issues.
Staffing, planning, and executing projects, creating product bills of materials, validating and calibrating sensors, and comprehending solid state and hard drives are covered in the course.
Utilizing Vertex AI Studio for model management, integrating with Gemini multimodal capabilities, employing effective prompts, and optimizing models through tuning methods are all topics addressed on the course page.
Explore healthcare data mining methods, theoretical foundations of key techniques, selection criteria, and practical applications with emphasis on data cleansing, transformation, and modeling for real-world problem solving.
Investigate the objectives and advantages of Google's Big Data and Machine Learning products, including the use of BigQuery for interactive analysis, Cloud SQL, and Dataproc for migrating MySQL and Hadoop applications, and the selection of a variety of data processing tools on Google Cloud.