Welcome to G@MakeDesignLab

by Prof Umamahesvaram Mandi

1. Online Warmup Games

2. Design Thinking

and the Process Analogy

3. Empathetic Observation to

Ideation

4. Prototype - Rational Selection -

Delivery - Feedback Continuum

5. Primary Demand Generation

To Delighting Customers

6. Design Thinking - Execution

In Teams

Prem Sagar S  &  Abhishek Kumar Singh

Data Scientists, Boeing India

1. Machine  Learning Introduction (20  min)
Get to  know  the landscape  and applications  of ML. 

2. A Gentle Warm-up (30  min)
Linear  Algebra  essentials
Probability  and  Information  Theory  essentials 

3. General Concepts (40 min)
Exploratory  Analysis  and  Data Visualization
Understanding  the problem  and building  a flow,  
Model  Validation,  No  free lunch  theorem,  Selecting  Models

     Quiz/Break  ~ 10  min 

4. Linear Models  (45 min)
Cost functions,  Training,  Gradient  descent, Learning  Curves
Regularization,  Linear and  Polynomial  Regression
Code Demonstration 

5. Classification (45  min)
Binary  Classification
Logistic
Regression
Performance
Multi-class  and Multi-output  Classifications
Code Demonstration 

 Quiz/Break  ~10  min 

6. Support Vector Machines (30 min)
Linear,  Non-linear  Classification  
Regression
Code Demonstration 

7. Decision Trees (30min)
CART algorithm
Tree visualization
Regularization
Regression
Code Demonstration 

8. Ensemble  Learning (30 min)
Voting  Classifier
Bootstrap  
Random  Forests
Boosting
Code Demonstration

   Quiz/Break  ~10  min
​

9. Nearest Neighbors (20min) 

10. Dimensionality Reduction (20min) 

PCA, Kernel  PCA, LSA,  LLE, Manifolds  etc. 

Code Demonstration 

11. Unsupervised Methods (45 min) 

K means 

DBSCAN 

Gaussian  Mixture  Models 

Code Demonstration 

12. Deep Learning Basics (45min++) 

Neural Networks,  Training,  Back Propagation  

Code Demonstration