EXPLAINDATA X
Introducing EXPLAINDATA X, the ultimate course in Explainable AI meticulously crafted to empower individuals with the knowledge and skills required to excel in the dynamic field of Data Science. Whether you're a beginner eager to delve into Explainable AI or an experienced data scientist looking to enhance your expertise, EXPLAINDATA X offers a comprehensive curriculum suitable for all skill levels. Our course is carefully structured with hands-on projects, practical applications, and expert guidance to ensure that you not only grasp the fundamentals of Explainable AI in Data Science but also cultivate the ability to address complex challenges in model interpretation and transparency. Enrol in EXPLAINDATA X today and unlock the doors to a realm of infinite possibilities in the field of Data Science. Illuminate the world of data with EXPLAINDATA X, and watch your aspirations in Explainable AI and Data Science come to life.
Join our course led by Dr. Ranjeet Kumar Rout, an esteemed mentor from NIT Srinagar, and embark on a transformative learning journey under his expert guidance.
The components explored in this course comprise:
Module 1 : Fundamental Aspects of Data Science
• Fundamentals of Python
• Fundamentals of Mathematics - Linear Algebra/Probability
• Measures and descriptors of data, Distributions and Estimation
• Exploratory data analysis
• Hypothesis testing and evaluation
Module 2 : Efficient Data-Driven Communication
• Data and Information Systems
• Story Telling with Data
• Designing Business Dashboards
Module 3 : Optimization for Machine Learning
• Optimisation Formulations
• Gradient and Search-based Optimisation for Machine Learning
• Linear, Quadratic, and Nonlinear Programming
• Multi-objective and multi-criteria decision-making - evolutionary tools
Module 4 : Machine Learning
• Regression and Derivatives
• Trees and Random Forests
• Support Vector Machines
• Clustering – Hierarchical K-means Clustering
• Dimensionality Reduction: PCA
Module 5 : Deep Learning
• Deep feedforward neural nets
• Convolutional neural nets
• Long short-term memory (LSTM) networks
• Introduction to GAN, Reinforcement Learning and ML Ops and AI and Governance
Module 6 : Introduction to Explainable AI
• Understanding the significance of Explainable AI in machine learning and decision-making
• Overview of interpretable and transparent models.
Module 7 : Interpretable Machine Learning Models
• Exploring inherently interpretable models like decision trees and linear models.
• Techniques for building models that are inherently more transparent.
Module 8 : Explainable AI Techniques
• In-depth study of techniques like LIME (Local Interpretable Model-agnostic Explanations) and SHAP (Shapley Additive Explanations).
• Hands-on exercises applying these techniques to real-world data.
Module 9 : Applications and Use Cases
• Industry-specific applications where Explainable AI is crucial (e.g., healthcare, finance, legal, etc.).
• Case studies and real-world examples.
Module 10 : Ethical Considerations and Bias in AI
• Understanding the ethical implications of AI and the importance of fairness and transparency.
• Techniques for identifying and mitigating biases in AI models.
Module 11 : Project
• Undertake a hands-on capstone project applying Explainable AI techniques to a real-world problem.
• Implement and interpret models using Python
• Final presentation and project submission.
Join us on this journey, and upon successful completion of the course, you will be awarded a certificate of course completion, personally signed by Dr. Ranjeet Kumar Rout, further validating your achievement.
The price of this course is ₹14,999 only.
Payment Link will be shared with you after filling the below Google Form.
You can register for this course as shown below.