• views: 146
• date: 23 September 2024
• posted by: 0nelove

What you'll learn:
Foundations of AI & ML
Machine Learning Algorithms
Data Analytics
Business Analysis
Data Science with R
SQL Database
Data Science with Python
Deep Learning
Natural Language Processing
Data Visualization Using Tableau
Big Data
Requirements:
Fresh Graduates/ Diploma in any discipline or equivalent with minimum 1 Year of working Professionals
Description:
The Master's program in Machine Learning and Artificial Intelligence offers an extensive curriculum designed to provide students with both theoretical knowledge and practical skills in these rapidly evolving fields. The program begins with foundational coursework in mathematics and programming, covering essential topics such as linear algebra, calculus, probability, and advanced programming techniques. Core courses delve into machine learning algorithms, including supervised and unsupervised learning methods, neural networks, and deep learning techniques.Students explore natural language processing (NLP) to understand and develop systems for text and speech analysis, and computer vision for interpreting visual data. The program also addresses the ethical implications of AI, focusing on issues like fairness, bias, and societal impact.Hands-on experience is a key component, with opportunities for practical projects, internships, and a research thesis or capstone project that allows students to apply their knowledge to real-world challenges. With a focus on both theoretical understanding and practical application, graduates are prepared for careers in data science, AI research, and machine learning engineering. The program typically spans 1 to 2 years and offers  online study options, with some programs available online from IIBM Institute.Advanced study in ML/AI: algorithms, deep learning, NLP, ethics, big data, hands-on projects, and research opportunities.
Who this course is for:
Aspiring Data Scientists and AI Specialists
Individuals with a Passion for AI and machine learning
Financial Analysts
Researchers
Entrepreneurs and Innovators
Recent Graduates
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