Introduction to Machine Learning for Managers

Introduction to Machine Learning for Managers

Main Speaker:

Tracks:

Management

Seminar Categories:

Technologies

Course ID:

43751

Date:

06.07.2020

Time:

Daily seminar
9:00-16:30

43751

Overview

AI and Machine Learning are in the technological forefront these days, offering innovative and exciting ways making sense out of data – turning data into knowledge and insights. These, in turn, open growth opportunities for companies across diverse industries, like healthcare, cyber-security, e-commerce, automotive, finance and many, many more.

The goal of this seminar is to provide a broad introduction to the subject to those who wish to take their first steps in the field, presenting common practices, algorithms, methods, tools and relevant technologies.

Who Should Attend

The seminar is suitable for managers, data architects, BI and analytics professionals and those wishing to enter the world of data science, who need a gentle, yet thorough introduction to the field.

Prerequisites

  • Some orientation with data and data analysis

Course Contents

  • Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
    • What is it?
    • Basic terms
    • Business motivation
    • Challenges in ML
  • Applications
    • Fields where ML is used
    • Examples for ML use in organizations today
  • CRISP-DM: the typical steps of Machine Learning / AI projects
  • Data gathering, understanding and preparations
  • Learning Algorithms:
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Evaluating ML models
  • Neural Networks and Deep learning
    • Concept and building blocks
    • Behind the scenes of a Neural Network
    • Common types of neural networks
    • Convolutional Neural Networks and Computer Vision
  • Tools and technologies
    • Leading tools and libraries
    • ML as a service
  • Where to go next?
    • Road to data science
    • Getting your feet wet


DevGeekWeek 2020





By entering your email address, you agree that John Bryce training will use it for marketing purposes, emails and newsletter, as well as promotional offers and announcements, according to John Bryce training & Matrix group privacy policy. Your data will be saved in our computerized database, number 700019285. You can unsubscribe at any time by mailing infomail@johnbryce.co.il or by calling 03-7100777.

Contact

DevGeekWeek 2020





By entering your email address, you agree that John Bryce training will use it for marketing purposes, emails and newsletter, as well as promotional offers and announcements, according to John Bryce training & Matrix group privacy policy. Your data will be saved in our computerized database, number 700019285. You can unsubscribe at any time by mailing infomail@johnbryce.co.il or by calling 03-7100777.

Skip to content