ML for 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 for Marketing Specialization
Features of Course
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 for Marketing Specialization
Use Cases for ML for Marketing Specialization
FAQs for ML for Marketing Specialization
Reviews for ML for 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 for 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
Learn to apply image processing, analysis methods, and supervised learning techniques using Python, Pillow, and OpenCV to address computer vision issues across various industries.
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.
The course "Building a Generative AI Ready Organization" offers the necessary components for the successful adoption of Generative AI within an organization. This course concentrates on business leaders and other decision-makers who are currently or potentially involved in Generative AI initiatives.
Acquire knowledge of machine learning by examining actual applications. Develop the necessary skills for a vocation in one of the most pertinent areas of contemporary AI by participating in hands-on projects and completing coursework from IBM's experts.
Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.