Deep Learning for Business

• An understanding of machine learning concepts
• Python programming experience

Audience

• Business analysts
• Data scientists
• Developers

Deep learning or deep structured learning is a subset of machine learning that involves multiple layers of networks for building prediction models. It is widely used in major industries, such as healthcare, e-commerce, banking, manufacturing, automotive, etc.

This instructor-led, live training (online or onsite) is aimed at business analysts, data scientists, and developers who wish to build and implement deep learning models to accelerate revenue growth and solve problems in the business world.

By the end of this training, participants will be able to:

• Understand the core concepts of machine learning and deep learning.
• Get insights on the future of business and industry with ML and DL.
• Define business strategies and solutions with deep learning.
• Learn how to apply data science and deep learning in solving business problems.
• Build deep learning models using Python, Pandas, TensorFlow, CNTK, Torch, Keras, etc.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

• Overview of Machine Learning (ML) and Deep Learning (DL) concepts
• Future industry evolutions with ML and DL

Business Strategy with Deep Learning

• Defining business problems
• Data-driven decision making
• Analytical thinking and mindset
• Business strategy modeling
• Case studies and examples

Deep Learning Software and Tools

• Python and Pandas fundamentals
• DL open source tools (TensorFlow, CNTK, Torch, Keras, etc.)
• Use cases and examples

Deep Learning with Neural Networks

• Neural Network Learning (Backpropagation)
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)
• DL modeling examples

Summary and Next Steps