ML in Marketing Specialization
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.
Description for ML in Marketing Specialization
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by O.P. Jindal Global University
Duration: 3 months at 10 hours a week
Schedule: Flexible
Pricing for ML in Marketing Specialization
Use Cases for ML in Marketing Specialization
FAQs for ML in Marketing Specialization
Reviews for ML in Marketing Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML in Marketing 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.
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.
Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.
Featured Tools
The program provides developers with advanced skills in AI-assisted software development and Amazon Q, which are designed to improve productivity and ethical practices.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
The final course in the Google Advanced Data Analytics Certificate provides an optional capstone project that enables learners to apply their newly acquired skills to real-world business problems. This project is supervised by Google employees and is designed to prepare students for advanced data analytics and data science positions.
Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.
Explore the functionality, practical applications, limitations, and advancements of diffusion models, including their text-to-image applications.