MLTrain CONTEST!

Share on LinkedInTweet about this on TwitterShare on Google+Share on FacebookShare on Reddit

MLTrain is back to NY for another training event. Nick Vasiloglou and Alex Dimakis will cover several Machine Learning and TensorFlow topics. We have prepared a 2-day curriculum. You can register for each day individually or for both days. The space is offered by Ebay!

When: 6/2-6/3 2017, 9:00am to 2:00pm

Where: 625 6th Ave (between 18th & 19th), 3rd floor, New York, NY (Ebay)

Minimum requirements:

  1. Be familiar with python programming
  2. Be able to install tensorFlow before the class date
  3. Be familiar with basic Machine Learning Principles

AGENDA – DAY 1

MLTrain 6/2/2017

Introduction to TensorFlow and Keras

This session is intended for beginners. The Minimum requirements::

  1. Be familiar with python programming
  2. Be able to install tensorFlow before the class date
  3. Be familiar with basic Machine Learning Principles

After the completion of the session you will know the basic functionality of TensorFlow. You will be able to build simple models and also use it in data science projects. 

Introduction to TensorFlow 

  • MLTrain Introduction

  • Tensors Basics

  • Computational Graph Model

  • Graph Inspection & Visualization with TensorBoard

  • Basic Ops

Linear Algebra

  • Fundamentals of  Linear Algebra

  • Least Square Problem

  • Manipulating Matrices in TensorFlow

  • Sparse/Dense Matrix/Vectors Operations

  • Limitations of TF

Optimization In TensorFlow

  • Objective Function

  • Gradients Computation

  • The tf.Optimizer Class

  • Predefined Optimizers

  • TF Linear Regression Model In 3 Lines

  • Predefined Losses

Introduction to Neural Networks

  • Fundamentals of Neural Nets

  • The back propagation algorithm

  • Convolutional Nets

  • Recurrent Neural Nets

  • Applications

AGENDA Day 2

 MLTrain 6/3/2017 

Deep Learning  Applications 

In this session you will learn how to use TensorFlow for building deep learning models for different application domains. The session emphasizes understanding models, how to use them and when to trust them. 

Minimum Requirements:

  1. To have basic knowledge of TensorFlow. You can do that by going through the tutorials in the www.tensorflow.org
  2. To be proficient in python
  3. To have tensorFlow already installed on your machine
  4. To have some data science prior experience or exposure  

 Working with Images

  • Understanding and using Generative Models

  • The Generative Adversarial Network (GAN)

  • Applications of GANs

Working with Text

  • Word2Vec

  • LSTMs for parsing Text

 Deep Reinforcement Learning

  • Encoding Agents for playing Games

  • Policy learning

ENTER to WIN

Send an email by Saturday May 27th at Midnight EST to contest@starbridgepartners.com with a paragraph on why you should get the ticket and if you meet the minimum requirements listed above.

______________________________________________________________________

Also see…

JOB OPENING (@ Our Clients) LOCATION
Head of Data Science: Digital (Consumer Behavior) (NEW) Boston 
Director, Data Science:Programmatic Marketing Optimization (NEW) New York  
Director, Data Science: NLP / Text Classification Problems New York  
Senior Data Engineer: Next Gen Platform | Java/Scala (NEW) New York  
Senior Data Scientist: Major Financial Planning Company Boston
Senior Data Scientist: Major Retirement & Insurance Fin Svc Firm New York 

Follow Us on Twitter

Share on LinkedInTweet about this on TwitterShare on Google+Share on FacebookShare on Reddit