Applied Machine Learning
11

Sunday, 11 December

10 am – 5 pm SGT

GA Singapore, Spacemob

Level 3, 8 Claymore Hill, Space Mob
Singapore
$150 SGD
Regular Ticket
$150 SGD
Total

Questions? Read our FAQs

Applied Machine Learning

Amit Kapoor Photo


Founding Partner, NarrativeViz Consulting LLP

11

Sunday, 11 December

10 am – 5 pm SGT

GA Singapore, Spacemob

Level 3, 8 Claymore Hill, Space Mob
Singapore
$150 SGD
Regular Ticket
$150 SGD
Total

Questions? Read our FAQs

About This Workshop

Every time we interact with an e-commerce site and see a recommendation to buy a product or we interact with our messenger app and see a chat bot in action, we are seeing machine learning in action. Strong mathematical theories underpin these machine learning application. The Machine Learning library eco-system has matured to an extent that it is straight forward to write a few lines of code and have the ML back-end ready for one’s application.

However, the challenge for many beginners is how to structure a business problem as a ML problem, and then go on to build, select and evaluate the right model. This workshop is designed to help learn how to apply machine learning to business problems through real-life case studies and a focus on applications.

This is predominantly a hands-on bootcamp and will be 70% programming/coding and 30% theory.

Takeaways

The bootcamp will be split into four modules:

Module 1: Linear Models (Case 1)

  • Linear Regression
  • Logistic Regression

Module 2: Model Evaluation (Case 1 continued)

  • Feature Engineering and Model Selection
  • Model Evaluation Metrics - Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, F1 Score
  • Overfitting and Bias-Variance trade-off
  • Regularization (L1/L2)
  • Cross Validation

Module 3: Tree-based Models (Case 2)

  • Decision Trees
  • Bagging and Boosting
  • Random Forest
  • Gradient Boosting Machines

Module 4: Unsupervised Learning (Case 3)

  • Dimensionality Reduction
  • Principal Component Analysis
  • Cluster Analysis

Prereqs & Preparation

  • Programming knowledge is mandatory. Attendee should, at the bare minimum, be able to write conditional statements, use loops, be comfortable writing functions and be able to understand code snippets and come up with programming logic.
  • Participants should have a basic familiarity of Python. Specifically, we expect participants to know the first three sections from this: http://anandology.com/python-practice-book/

Software Requirements

We will be using Python data stack for the workshop. Please install Ananconda for Python 3.5 for the workshop. That has everything we need for the workshop. For attendees more curious, we will be using Jupyter Notebook as our IDE. We will be using primarily scikit-learn libraries for most of the machine learning algorithms.

About the Instructors

Amit Kapoor Photo

Founding Partner,
NarrativeViz Consulting LLP

Amit Kapoor is interested in learning and teaching the craft of telling visual stories with data. He uses storytelling and data visualisation as tools for improving communication, persuasion and leadership. He conducts workshops and trainings for corporates, non-profits, management and design colleges, and individuals at narrativeviz.com. His background is in strategy consulting in using data-driven stories to drive change across organisations and businesses. He has 13+ years of management consulting experience, first with AT Kearney in India, then with Booz & Company in Europe and more recently with startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at amitkaps.com and tweet him at @amitkaps.

Bargava Subramanian Photo

Bargava Subramanian is a practicing Data Scientist. He has 14 years experience delivering business analytics solutions to Investment Banks, Entertainment Studios and High-Tech companies. He has conducted numerous workshops on Data Science, Machine Learning, Deep Learning and Optimization in Python and R around the world. He has a Masters in Statistics from University of Maryland, College Park, USA. He is an ardent NBA fan and you can tweet him at @bargava.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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