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Bæredygtighed

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Inner Development Goals

Få kompetencerne til at skabe bæredygtig effekt - for dig og din organisation.
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Buurtzorg & Mannaz

Mannaz er officiel Buurtzorg-samarbejdspartner. Vi hjælper jer med at skabe en fremtidssikret organisation.
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Vi leverer i hele verden

Med kontorer i London, København, Malmö og Aarhus, samt et netværk af 300 konsulenter, kan Mannaz levere i hele verden.
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Vi laver projekter for det private erhvervsliv i en lang række brancher.
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Offentlig

Vi leverer både i stat, regioner og kommuner.
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Konsulenter

Vores konsulenter hjælper jer med at skabe endnu bedre resultater.
Mød vores konsulenter

Peter Wang Maarbjerg VP Consulting Denmark

+45 2428 5973
pwm@mannaz.com

Henrik Bjerregaard Nielsen Vice President

+45 4517 6000
hbn@mannaz.com

Line Thatt Jensen Senior Consultant

+45 4517 6000
ltj@mannaz.com

Thomas Peter Rønholt Client Director

+45 4517 6000
tpr@mannaz.com

Berit Kristine Bøggild Client Director

+45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen Client Director

+45 4517 6000
afh@mannaz.com

Anne Friland Client Director

+45 4517 6262
afr@mannaz.com

Emil Lindeløv Vestergaard Chefkonsulent, cand.psych.

+45 4517 6000
elv@mannaz.com

Lars Nellemann Manager, Ph.d.

+45 5139 6043
lne@mannaz.com

Marianne Bruun Okholm Manager

+45 4517 6000
mok@mannaz.com

Morten Flørnæss Kerrn-Jespersen Client Director

+45 5139 6052
mfk@mannaz.com

Dorte Spiegelhauer Client Director

+45 4517 6000
dsp@mannaz.com

Berit Urup Hankelbjerg Senior Consultant

+45 4517 6000
buh@mannaz.com

Lars Østerby Client Director

+45 4517 6000
los@mannaz.com

Martin Bo Nielsen Senior Consultant

+45 8192 5343
mni@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

Ditte Enevoldsen Client Director

+45 6170 8230
den@mannaz.com

Markus Engholm Jensen Consultant, Cand.psych.

+45 6053 6355
mej@mannaz.com

Per Krull Senior Consultant

+45 2330 0715
pkr@mannaz.com

Rasmus Hviid Bach Consultant

+45 3090 0264
rhb@mannaz.com

Henrik Schelde Andersen Client Director

+45 2156 0156
hsa@mannaz.com

Nanna Svart Consultant

+45 2068 0120
nsa@mannaz.com

Kasper Arentoft Client Director

+45 2161 3195
kar@mannaz.com

Oscar Gomez Svendsen Senior Consultant


osv@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

Sanna Turesson Senior Consultant

+46 (0)76 3133321
sat@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

Stuart Schofield Client Director

+44 7990 036110
ssc@mannaz.com

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København

Farvergade 8, 2. sal
1463 København
Denmark

Læs om Mannaz House

+45 4517 6000
info@mannaz.com

Aarhus

Olof Palmes Allé 20
8200 Aarhus
Danmark

+45 4517 6000
info@mannaz.com

London

15-19 Bloomsbury Way, Holborn,
London WC1A 2TH
United Kingdom

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

Malmö

Stora Varvsgatan 6A
211 19 Malmö
Sweden

+46 4012 7218
info@mannaz.com

Ønsker du personlig rådgivning?
Kontakt: René Fabricius Weichel

+45 4517 6140
rfw@mannaz.com

Vil du have et virksomhedsinternt kursus?
Kontakt: Mariann Illum Vendler

+45 2978 2170
miv@mannaz.com

Er du tilmeldt et kursus?

Hvis du er kommet i tvivl om det praktiske vedr. dit kursus, så kan du se, hvem du skal kontakte her

Vil du høre mere om vores konsulentydelser? Se liste over alle konsulenter
Peter Wang Maarbjerg

VP Consulting Denmark +45 2428 5973
pwm@mannaz.com

Henrik Bjerregaard Nielsen

Vice President +45 4517 6000
hbn@mannaz.com

Line Thatt Jensen

Senior Consultant +45 4517 6000
ltj@mannaz.com

Thomas Peter Rønholt

Client Director +45 4517 6000
tpr@mannaz.com

Berit Kristine Bøggild

Client Director +45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen

Client Director +45 4517 6000
afh@mannaz.com

Anne Friland

Client Director +45 4517 6262
afr@mannaz.com

Emil Lindeløv Vestergaard

Chefkonsulent, cand.psych. +45 4517 6000
elv@mannaz.com

Lars Nellemann

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

Marianne Bruun Okholm

Manager +45 4517 6000
mok@mannaz.com

Morten Flørnæss Kerrn-Jespersen

Client Director +45 5139 6052
mfk@mannaz.com

Dorte Spiegelhauer

Client Director +45 4517 6000
dsp@mannaz.com

Berit Urup Hankelbjerg

Senior Consultant +45 4517 6000
buh@mannaz.com

Lars Østerby

Client Director +45 4517 6000
los@mannaz.com

Martin Bo Nielsen

Senior Consultant +45 8192 5343
mni@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

Ditte Enevoldsen

Client Director +45 6170 8230
den@mannaz.com

Markus Engholm Jensen

Consultant, Cand.psych. +45 6053 6355
mej@mannaz.com

Per Krull

Senior Consultant +45 2330 0715
pkr@mannaz.com

Rasmus Hviid Bach

Consultant +45 3090 0264
rhb@mannaz.com

Henrik Schelde Andersen

Client Director +45 2156 0156
hsa@mannaz.com

Nanna Svart

Consultant +45 2068 0120
nsa@mannaz.com

Kasper Arentoft

Client Director +45 2161 3195
kar@mannaz.com

Oscar Gomez Svendsen

Senior Consultant
osv@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

Sanna Turesson

Senior Consultant +46 (0)76 3133321
sat@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

Stuart Schofield

Client Director +44 7990 036110
ssc@mannaz.com

Machine Learning – get value out of your data

Add machine learning to your toolbox

Del siden Print

Understanding the concepts of machine learning

Data is at the very core of all business decisions. Machine learning is therefore gaining increased attention as a tool for extracting crucial insights from data to make improved decisions that can ultimately ensure that your company stays ahead of competition.

During this course you’ll get an introduction to the most common concepts and applications of Machine Learning. You will learn various supervised and unsupervised ML algorithms and prediction tasks which will be applied to different data. Additionally, this course will improve your ability to understand how you can choose the proper model for your data.

 

Machine Learning – get value out of your data

Add machine learning to your toolbox

Del siden Print
2 dages kursus
1 modul,
3 kursussteder
12.700 kr ekskl. moms
Vælg dato og lokation
2. feb - 3. feb 2023 Tivoli Hotel, København V
8. jun - 9. jun 2023 Comwell, Nordhavn
26. okt - 27. okt 2023 Københavnsområdet - Kursussted oplyses senere, København K
Kurset kan holdes hos jer – læs mere

Concepts within Machine Learning

Machine Learning has recently received a lot of attention and is being recognized as an important tool in terms of managing big data and building the AI applications of the future. Machine Learning models are increasingly implemented and today they are used to solve numerous problems ranging from predicting industrial machinery replacement to focusing cameras on mobile phones.

Machine learning makes it possible to build systems that improves with more data, which is fundamentally different from traditional rule-based programming. This course will allow you to recognize problems that are best approached with the concepts of machine learning.

The course will consist of several hands-on exercises where you can gain practical experience with training and evaluating machine learning models for a range of different problems. So, if you are working with large data sets, this course is relevant for you.

Who can participate?

This course is an introductory course and therefore aimed at anyone who is curious to learn more about Machine Learning and searching for an understanding of simple yet effective Machine Learning tools.

Everyone can participate in the course, but the course has more relevance if you are already working with great amounts of data and want to learn how optimize the value from these.

Basic coding or scripting knowledge is required.

Benefits

Once completing the course, you will be able to:

  • Recognize and define business problems that could potentially be addressed with machine learning and artificial intelligence.
  • Identify when machine learning can be used to explain specific behaviors and when it can be applied to predict future outcomes.
  • Recognize how machine learning can be applied to numerical, text and image data.
  • Clean and prepare data, perform Exploratory Data Analysis (EDA) and train classification models.
  • Understand and identify the differences between some of the most implemented machine learning models.
  • Evaluate a machine learning model and decide how to incorporate best practices.

After this course, the organization will:

  • Gain a sustainable competitive advantage by having employees with crucial machine learning knowledge.
  • Be able to prepare for the future by attempting to collect data which is suitable for machine learning.

Kursusoversigt

Varighed 2 dage
Modul 1 modul
Overnatning Nej
Pris ekskl. moms 12.700 kr
Sted:Hele landet
Dato
Ledighed
Pris ekskl. moms
Machine Learning – get value out of your data
Sted Tivoli HotelKøbenhavn V
Dato 2. feb - 3. feb 2023 Se detaljer
Modul 1 modul
Overnatning Nej
Ledighed Ledige pladser
Pris 12.700 kr ekskl. moms Tilmeld
Se detaljer
Sted
Dag
Dato
Tidspunkt (CET)
Modul
Sted Tivoli Hotel, Arni Magnussons Gade 2, 1577 Kbh. V | Se på kort
Dag 1
Dato 02-02-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Sted Tivoli Hotel, Arni Magnussons Gade 2, 1577 Kbh. V | Se på kort
Dag 2
Dato 03-02-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Machine Learning – get value out of your data
Sted ComwellNordhavn
Dato 8. jun - 9. jun 2023 Se detaljer
Modul 1 modul
Overnatning Nej
Ledighed Ledige pladser
Pris 12.700 kr ekskl. moms Tilmeld
Se detaljer
Sted
Dag
Dato
Tidspunkt (CET)
Modul
Sted Comwell, Alexandriagade 1, 2150 Nordhavn | Se på kort
Dag 1
Dato 08-06-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Sted Comwell, Alexandriagade 1, 2150 Nordhavn | Se på kort
Dag 2
Dato 09-06-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Machine Learning – get value out of your data
Sted Københavnsområdet - Kursussted oplyses senereKøbenhavn K
Dato 26. okt - 27. okt 2023 Se detaljer
Modul 1 modul
Overnatning Nej
Ledighed Ledige pladser
Pris 12.700 kr ekskl. moms Tilmeld
Se detaljer
Sted
Dag
Dato
Tidspunkt (CET)
Modul
Sted Københavnsområdet - Kursussted oplyses senere, 1000 København K | Se på kort
Dag 1
Dato 26-10-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Sted Københavnsområdet - Kursussted oplyses senere, 1000 København K | Se på kort
Dag 2
Dato 27-10-2023
Tidspunkt 09:00 - 16:00
Modul Introduction to Machine Learning
Hele landet
Technology as a competitive edge

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

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

Course agenda

The two-day course will vary between an instructor-led approach and hands-on exercises. The main areas of focus will be on providing the participants with the necessary knowledge and confidence to apply machine learning in their own work. The course will have a broad perspective on machine learning, but it will focus on classification tasks.

Participants are expected to bring their own laptop, but everything else is provided.

The hands-on exercises will be browser-based, so there is no requirement to install software, but participants should be willing to sign-up for a free Google account, if they do not have one already.

The course and course material will be conducted in English. 

Day 1

09:00-16:00

  • Introduction to Machine Learning
  • Supervised VS Unsupervised Learning
  • Data preparation
  • Classification
  • Regression
  • Overfitting
  • Python, NumPy, Tensorflow
  • Multilayer perceptron

Day 2

09:00-16:00

  • Working with natural language
  • Bag of words
  • Deep Learning
  • Image recognition
  • Training Neural networks
  • Tips and tricks – How to come forward from here

Muniba Talha

 Muniba Talha

 

Muniba Talha is an associate professor at Copenhagen School of Design and Technology (KEA) and an external lecturer Copenhagen Business School (CBS). Before entering this position, Muniba worked in Project and Team lead positions, where she delivered robust software products and developed agile teams.

Muniba is very passionate about lifelong learning, community building, diversity, and inclusion. She is the founder of Women in Data Science and Machine Learning, which is a community open to everyone with interest in this area. The community is focused on supporting and educating the women in the field of data science and machine learning.

 

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.

Your name, e-mail and telephone number will be passed on to IDA. The contact information is used exclusively in connection with the course.

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