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Med kontorer i London, København, Malmö og Aarhus, samt et netværk af 300 konsulenter, kan Mannaz levere i hele verden.
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Rasmus Bay VP Consulting Nordic

+45 4022 2922
rba@mannaz.com

Peter Wang Maarbjerg VP Public

+45 2428 5973
pwm@mannaz.com

Line Thatt Jensen Senior Consultant

+45 5139 6178
ltj@mannaz.com

Thomas Peter Rønholt Client Director

+45 5139 6257
tpr@mannaz.com

Henrik Bjerregaard Nielsen Client Director

+45 5139 6259
hbn@mannaz.com

Berit Kristine Bøggild Client Director

+45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen Client Director

+45 2087 1199
afh@mannaz.com

Anne Friland Client Director

+45 4517 6274
afr@mannaz.com

Simone Toftegaard Digital Consultant

+45 5139 6170
sto@mannaz.com

Emil Lindeløv Vestergaard Chefkonsulent, cand.psych.

+45 5139 6033
elv@mannaz.com

Lars Nellemann Manager, Ph.d.

+45 5139 6043
lne@mannaz.com

Marianne Bruun Okholm Manager

+45 5139 6048
mbokholm@hotmail.com

Morten Flørnæss Kerrn-Jespersen Client Director

+45 5139 6052
mfk@mannaz.com

Dorte Spiegelhauer Client Director

+45 5139 6062
dsp@mannaz.com

Berit Urup Hankelbjerg Senior Consultant

+45 5139 6130
buh@mannaz.com

Lars Østerby Client Director

+45 5139 6221
los@mannaz.com

Bjarke Østergaard Client Director

+45 4166 8864
bos@mannaz.com

Martin Bo Nielsen Senior Consultant

+45 8192 5343
mni@mannaz.com

Thomas Overbeck Gredal Consultant

28180692
tog@mannaz.com

Nanna Gry Mahler Tolborg Senior Consultant

+45 6178 2404
nto@mannaz.com

Christina Lundsgaard Ottsen Senior Consultant

+45 2682 8885
cot@mannaz.com

Peter Stensig Consultant

+45 3024 6404
pst@mannaz.com

Cecilia Fagerberg Wästfelt Country Manager

+46 735 22 29 82
cfw@mannaz.com

Joakim Eriksson Client Director

+46 735 286 071
jer@mannaz.com

Magnus Ramdén Senior Consultant

+46 735 01 63 21
mra@mannaz.com

Anna Rosdahl Senior Consultant

+46 708 23 84 41
aro@mannaz.com

Gertrud Elisabet Bohlin Senior Consultant

+46 705 66 95 26
geb@mannaz.com

Stuart Turnbull Country Manager

+44 7789 546 100
stu@mannaz.com

Nathan Hobbs Director, Client Solutions

+44 796 288 1445
nho@mannaz.com

Paul Frederick Blackhurst Client Director

+44 759 527 5952
pbl@mannaz.com

Stuart Schofield Client Director

+44 7990 036110
ssc@mannaz.com

Christine Dandy Client Director

+44 783 402 2486
cda@mannaz.com

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2970 Hørsholm
Denmark

+45 4517 6000
info@mannaz.com

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Olof Palmes Allé 20
8200 Aarhus
Danmark

+45 4517 6000
info@mannaz.com

London

3 Queen Square, Bloomsbury
London, WC1N 3AR
United Kingdom

+44 (0)203 119 1240
info@mannaz.com

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Stora Varvsgatan 6A
211 19 Malmö
Sweden

+46 4012 7218
info@mannaz.com

Ønsker du personlig rådgivning?

Hvis du har spørgsmål om dit valg af kursus eller uddannelse, så kontakt os.

Alle vores kurser kan også komme ud til jer. Læs mere

Kontakt: René Fabricius Weichel

+45 4517 6140
rfw@mannaz.com

Er du tilmeldt et kursus?

Hvis du er kommet i tvivl om det praktiske vedr. dit kursus, så er vi klar til at hjælpe dig.

Se alle kontaktpersoner

Kontakt: Gitte Madsen

+45 4517 6226
gma@mannaz.com

Vil du høre mere om vores konsulentydelser? Se liste over alle konsulenter
Rasmus Bay

VP Consulting Nordic +45 4022 2922
rba@mannaz.com

Peter Wang Maarbjerg

VP Public +45 2428 5973
pwm@mannaz.com

Line Thatt Jensen

Senior Consultant +45 5139 6178
ltj@mannaz.com

Thomas Peter Rønholt

Client Director +45 5139 6257
tpr@mannaz.com

Henrik Bjerregaard Nielsen

Client Director +45 5139 6259
hbn@mannaz.com

Berit Kristine Bøggild

Client Director +45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen

Client Director +45 2087 1199
afh@mannaz.com

Anne Friland

Client Director +45 4517 6274
afr@mannaz.com

Simone Toftegaard

Digital Consultant +45 5139 6170
sto@mannaz.com

Emil Lindeløv Vestergaard

Chefkonsulent, cand.psych. +45 5139 6033
elv@mannaz.com

Lars Nellemann

Manager, Ph.d. +45 5139 6043
lne@mannaz.com

Marianne Bruun Okholm

Manager +45 5139 6048
mbokholm@hotmail.com

Morten Flørnæss Kerrn-Jespersen

Client Director +45 5139 6052
mfk@mannaz.com

Dorte Spiegelhauer

Client Director +45 5139 6062
dsp@mannaz.com

Berit Urup Hankelbjerg

Senior Consultant +45 5139 6130
buh@mannaz.com

Lars Østerby

Client Director +45 5139 6221
los@mannaz.com

Bjarke Østergaard

Client Director +45 4166 8864
bos@mannaz.com

Martin Bo Nielsen

Senior Consultant +45 8192 5343
mni@mannaz.com

Thomas Overbeck Gredal

Consultant 28180692
tog@mannaz.com

Nanna Gry Mahler Tolborg

Senior Consultant +45 6178 2404
nto@mannaz.com

Peter Stensig

Consultant +45 3024 6404
pst@mannaz.com

Christina Lundsgaard Ottsen

Senior Consultant +45 2682 8885
cot@mannaz.com

Cecilia Fagerberg Wästfelt

Country Manager +46 735 22 29 82
cfw@mannaz.com

Joakim Eriksson

Client Director +46 735 286 071
jer@mannaz.com

Magnus Ramdén

Senior Consultant +46 735 01 63 21
mra@mannaz.com

Anna Rosdahl

Senior Consultant +46 708 23 84 41
aro@mannaz.com

Gertrud Elisabet Bohlin

Senior Consultant +46 705 66 95 26
geb@mannaz.com

Stuart Turnbull

Country Manager +44 7789 546 100
stu@mannaz.com

Nathan Hobbs

Director, Client Solutions +44 796 288 1445
nho@mannaz.com

Paul Frederick Blackhurst

Client Director +44 759 527 5952
pbl@mannaz.com

Stuart Schofield

Client Director +44 7990 036110
ssc@mannaz.com

Christine Dandy

Client Director +44 783 402 2486
cda@mannaz.com

Introduction to Machine Learning

Gain more value from your data by adding machine learning to your toolbox

Del siden Print

Understanding the concepts of Machine Learning

In recent years, machine learning has received increasing attention as a tool for handling the big data building AI applications of the future. While machine learning is not a new field, it is now being used to solve several different problems from predicting replacement of industrial machinery to focusing cameras on mobile phones.

Machine learning makes it possible to build systems that improves with more data, which is an essentially different approach compared to the traditional rule-based programming. In this course, you will be introduced to the main concepts, so you will be able to recognize problems that can be approached with machine learning.

Participants will take part in a variety of hands-on exercises, that will help gain practical experience with both training and evaluation machine learning models for different types of problems.

 

Introduction to Machine Learning

Gain more value from your data by adding machine learning to your toolbox

Del siden Print
2 dages kursus
1 modul,
2 kursussteder
Nyhed 11.900 kr ekskl. moms
Vælg dato og lokation
27. maj - 28. maj 2021 Kundens egne lokaler,
Kurset kan holdes hos jer – læs mere

Who can participate?

This course is particularly suited for software developers or engineers, who wish to expand their toolbox with machine learning.

Participants should have interest in working with data and be willing to learn how you can extract value from data.

Prerequisites

Participants should have experience with and feel comfortable writing code. Ideally, participants will have some familiarity with Python.

Participation does not require any prior experience with machine learning, and only basic mathematics are needed for the course.

 

Benefits

Benefits for you

  • Recognizing problems that are suitable for machine learning
  • Preparation of data and training a classification model
  • Understanding the differences between the most popular machine learning models
  • Evaluation of how good and applicable a machine learning model is
  • General understanding of how machine learning can be applied to numerical, text and image data

Benefits for your company

  • A competitive advantage by having employees with machine learning knowledge
  • Ability to prepare for the future by collecting data suitable for machine learning
Technology as a competitive edge

Figuring out how to leverage the changes of technology it in your context

Read the article
Feel free to contact me for personal assistance, if you have any questions or doubts
René Fabricius Weichel
+45 4517 6140
rfw@mannaz.com
Call me

Kursusoversigt

Varighed 2 dage
Modul 1 modul
Overnatning Nej
Pris ekskl. moms 11.900 kr
Sted:Hele landet
Dato
Ledighed
Pris ekskl. moms
Introduction to Machine Learning
Sted Kundens egne lokaler
Dato 27. maj - 28. maj 2021 Se detaljer
Modul 1 modul
Overnatning Nej
Ledighed Ledige pladser
Pris 11.900 kr ekskl. moms Tilmeld
Se detaljer
Sted
Dag
Dato
Tidspunkt (CET)
Modul
Sted Kundens egne lokaler, | Se på kort
Dag 1
Dato 27-05-2021
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning - KBH
Sted Kundens egne lokaler, | Se på kort
Dag 1
Dato 28-05-2021
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning - KBH
Hele landet

Attend our courses safely

You can attend all courses, training and workshops physically, in person, in smaller Covid-safe groups.

We’re following these measures to ensure your safety:

  • There’ll be a maximum of 25 people in addition to the instructor at each course.
  • Everyone must show a valid “Corona passport” – a negative Corona test that is a maximum of 72 hours old.
  • Masks must be worn when moving outside the classroom.
  • Courses take place in large classrooms with a minimum distance of 1 metre between each chair.
  • Lunch is served in pre-prepared portions.
  • The classroom is thoroughly cleaned.

 

Watch the video below (Danish video with English subtitles), where one of our instructors talks about the measures.

Our guidelines were last updated on May 6th 2021. Read more about our current guidelines for COVID-19

 

The programme

The course runs over two full days.

The course focuses on providing participants with not only the necessary knowledge, but also the confidence to go and apply machine learning to concrete problems that they face in their own work. The instructor therefore provides hands-on exercises to ensure your practical outcome of the course.

The course deals with several aspects of machine learning, but there will be an emphasis on classification tasks.

Participants are only expected to bring their own laptop, as everything else will be provided. Additionally, participants should already have a free Google account or be willing to sign-up, but there is no need to install software, as the hands-on exercises are browser-based.

 

Day 1

09:00-16:00

  • The concepts of Machine Learning
  • Preparation of data
  • Python, NumPy, Tensorflow
  • Multilayer perceptron
  • Logistic regression
  • Overfitting

Day 2

09:00-16:00

  • Deep Learning
  • Image recognition
  • Neural networks
  • How to work with natural language
  • Bag of words

Andreas Koch

 

Andreas Koch is the instructor on the course and with a background in data science, he has substantial and relevant experience with analysing data as well as productionizing machine learning models.

Andreas currently works as a data science consultant, where he advises organisations on how to best leverage and benefit from their data.

The course and course material will be conducted in English. 

 

This course is powered by IDA & Mannaz

Mannaz works in close collaboration with IDA, The Danish Society of Engineers.

When you sign up for this course, Mannaz handles your registration, while IDA manages the course execution.