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Applied Machine Learning

Ace Machine Learning

3 Weeks Live Sessions | 4th Weekend Campus Immersion

An Applied Machine Learning program that integrates industry focus into algorithms which helps you master impactful Machine Learning skills, from the very first day of your learning. The ability to create ROI from your education for your organization, is the key strategy to step up your game at work.

Prerequisite: Fair understanding of Statistics and familiarity with Programming in R or Python

Learn from anywhere on your schedule

Master Machine Learning

Understand the math behind Machine Learning

Applied Machine Learning

Identify and apply Machine Learning algorithms to build or enhance products/services/processes in an organization

Influence Decision Makers

Communicate confidently with Data Scientists and Decision Makers

Why this Bootcamp

Work on Real-life Data Science Problems

Take your career headon by working on projects using a competency based learning paradigm. Quality of time spent and the outcome is far more important than the quantity.

Work 1:1 with a Mentor

We pair you with a mentor who has extensive professional and academic knowledge of the field. You’ll have one-on-one conversations with your mentor, and receive useful feedback on improving your work.

We Will Keep You Engaged

Our mentors are here to keep you motivated, answer questions, provide feedback, and help deepen your understanding of essential tools and techniques. Learn with live online classes and face to face sessions. Learning is best when you are able to ask the questions and clarify your doubts with the faculty.

What You Will Learn

■ Introduction to Machine Learning Theory (Supervised, Unsupervised, Reinforced Learning, Deep Learning, Kernel Methods, Markov Decision Processes)

■ Regression: Linear, Kernel, Logistic, etc
■ Decision Trees
■ Naive Bayes
■ Support Vector Machine

■ K Means Clustering
■ Principal Component Analysis- PCA
■ Ensemble Methods

■ Make impactful Data Visualizations

1. Crime detection using text recognition with neural networks.

2. Build neural conversational agents or chatbots.

3. Build a simple song recommender system using Machine Learning.

Ability to be learn hands on with real industry data and delivering insights to industry jury is the best part of the program. Data Science and its application for Decision Science with practitioner faculty is the biggest highlight of the program. Strongly Recommend it.

Vinod Tiwari

Senior Analyst, TCS

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