INTRODUCTION

The process of decision making has always presented a challenge to many organizations worldwide especially with the need to balance scarce resources. The recently introduced concept of machine learning can be an effective way to help with decision making to improve organizational productivity. The course therefore will introduce learners on using ML techniques in TensorFlow to improve the decision-making process.

DURATION

5 days

COURSE LEVEL: Intermediate

Course Objectives

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

• Learn how machine learning can be a tool for effective management

• Build models for decision making in challenging business environment

• Improve management of manpower using ML techniques

• Utilize available resources in the best way possible using ML

• Improve Supervised vs Unsupervised Machine Learning

• Decision making using ML algorithms

Course Outline

Module 1

• What is TensorFlow?

• TensorFlow code-basics

• Graph Visualization

• Constants, Placeholders, Variables

• Tensorflow Basic Operations

Module 2 - Introduction to Machine Learning

• Applications of Machine Learning

• Supervised vs Unsupervised Learning

• Python libraries suitable for Machine Learning

• Linear Regression with TensorFlow

• Logistic Regression with Tensor Flow

Module 3 – Neural Networks using TensorFlow

• Quick recap of Neural Networks

• Activation Functions, hidden layers, hidden units

• Illustrate & Training a Perceptron

• Important Parameters of Perceptron

• Understand limitations of A Single Layer Perceptron

• Illustrate Multi-Layer Perceptron

• Back-propagation – Learning Algorithm

• Understand Back-propagation – Using Neural Network Example

• TensorBoard

Module 4 – Classification in Tensorflow

• K-Nearest Neighbour

• Decision Trees

• Logistic Regression

• Support Vector Machines

• Model Evaluation

Module 5 - Unsupervised Learning

• K-Means Clustering

• Hierarchical Clustering

• Density-Based Clustering

Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] or [email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000, +254 792516010 , +250 789621067 ,or mail [email protected] or [email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected] or [email protected]

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