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2 Day Workshop - Deep Dive into Machine Learning and Deep Learning

Sat, 28 Sep 2019 10:00AM - Sun, 29 Sep 2019 5:00PM
Rise Mumbai , mumbai south
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Rs 2500 onwards
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This workshop is a primer designed for audiences of all backgrounds. Although, prior experience with either coding or statistics will be beneficial. All topics are taught with mathematical explanation and hands-on exercises to implement the theory.

Use cases Covered - 
Churn prediction - Human Resource, Customers, etc.
Loan default prediction
Real estate pricing estimation
Health care - Cancer classification 
Image - classifying type of apparel
Text - Predicting the next word in a sentence

Trainer - 
Siddhant Wade

Siddhant is a consultant for data products and the curator of Big Data Mumbai. Using data-driven tech to power products is his passion. He is a visiting faculty across campuses in Mumbai and has helped hundreds of students and professionals understand analytics and ML at a deeper level.

Workshop Modules - 

Day 1 

Statistical Modelling + Linear Algebra basics
Understanding Machine Learning
How ML capability is delivered in products
The Cloud eco-system for ML-enabled development and deployment
Types of analytics practices - Descriptive, Diagnostic, Prescriptive, Predictive.
Introduction to tools - Python, Anaconda, Jupyter, Google Colab, etc. 

Syntax basics and functionalities 
Data Pre-processing using Pandas
Data Visualisation using Matplot
Exploratory Data Analysis

Introduction to classical Machine Learning
Linear Models for prediction
Linear Models for classification
Understanding why models fail 
Understanding the great Bias Variance Tradeoff
Tuning models to perform better - Regularisation, Bootstrapping, Bagging, etc.
Tuning data to increase efficiency - Dimensionality, PCA, Normalisation.

Day 2

Introduction to complex models
Implementing Decision Trees for classification
Why do decision trees fail?
Optimizing for performance?
Ensembling and Bootstrapping
Alternatives to decision trees
The IRON-MAN of ML models - SVM

Introduction to Deep Learning
Mathematics of neural networks 
Introduction to Tensorflow and Keras
Implementing neural networks
Implementing deep neural nets
Classification and prediction with Neural Networks
Generative Adversarial Networks

Career-paths in Data Science
Cloud platforms and tools to implement machine learning
Introduction development kits and deployment strategies
Learning resources and strategies

Date: 28th - 29th Sep 2019 (Sat-Sun)
Venue: Rise Mumbai, Peninsula Business Park, Lower Parel, Mumbai.
Time: 10 AM - 5 PM

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Map & Directions

Map & Directions
Rise Mumbai #1902, 19th floor - Tower B, Peninsula Business Park, Ganpatrao Kadam Marg, Lower Parel, Mumbai, Maharashtra 400013
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EventsHigh Specials, modelling, statistics, visualisation, big data, bootstrapping, real estate, mathematics, machine learning, use cases, classes and workshops, technology, Siddhant Wade,