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Fortgeschrittenes Zertifikat Im Maschinellen Lernen (Advanced)

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Overview

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Learning outcomes

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Course content

1

Einführung In Maschinelles Lernen

2

Grundlagen Des Maschinellen Lernens

3

Lineare Regression

4

Logistische Regression

5

Entscheidungsbäume

6

Random Forest

7

Support-Vektor-Maschinen

8

Clustering

9

Dimensionalitätsreduktion

10

Überwachtes Lernen

11

Unüberwachtes Lernen

12

Bestärkendes Lernen

13

Neuronale Netze

14

Tiefes Lernen

15

Convolutionale Neuronalen Netze

16

Rekurrente Neuronalen Netze

17

Natürliche Sprachverarbeitung

18

Bildverarbeitung

19

Zeitreihenanalyse

20

Anwendung Von Maschinellem Lernen In Der Praxis

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm blown away by the 'Fortgeschrittenes Zertifikat Im Maschinellen Lernen' course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill in machine learning, and this course exceeded my expectations. The content was incredibly relevant, covering the latest advancements in deep learning and natural language processing. I appreciated how the course materials were structured, making it easy to follow along and apply the concepts to real-world problems. The practical exercises and projects helped me gain hands-on experience, which I've already applied to my work, resulting in significant improvements to our predictive models. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in machine learning.

LH
Leila Hassan
EG · Course completed

I recently completed the 'Fortgeschrittenes Zertifikat Im Maschinellen Lernen' course at Stanmore School of Business, and I must say it was a great experience. As a researcher in Egypt, I was looking to expand my knowledge in machine learning, and this course provided a solid foundation. The course materials were well-structured, and the instructors were knowledgeable and responsive. I appreciated the emphasis on practical applications, which helped me understand how to apply machine learning concepts to real-world problems. One of the highlights of the course was the project on image classification, which helped me develop a deeper understanding of convolutional neural networks. While there were some areas where I felt the course could be improved, overall I'm satisfied with the experience and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I'm so glad I took the 'Fortgeschrittenes Zertifikat Im Maschinellen Lernen' course at Stanmore School of Business. As a software engineer in Japan, I was looking to learn more about machine learning, and this course delivered. The instructors were enthusiastic and knowledgeable, and the course materials were top-notch. I loved the hands-on approach, with plenty of opportunities to practice and apply the concepts to real-world problems. The course covered a wide range of topics, from supervised and unsupervised learning to deep learning and reinforcement learning. I was impressed by the quality of the course materials, which included video lectures, readings, and assignments. The course also provided a great community of learners, which was helpful for discussing ideas and getting feedback. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in machine learning.

AD
Ana da Silva
BR · Course completed

I took the 'Fortgeschrittenes Zertifikat Im Maschinellen Lernen' course at Stanmore School of Business, and it was a great learning experience. As a data analyst in Brazil, I was looking to improve my skills in machine learning, and this course helped me achieve that goal. The course content was comprehensive, covering a wide range of topics, from the basics of machine learning to more advanced topics like natural language processing and computer vision. I appreciated the emphasis on practical applications, which helped me understand how to apply machine learning concepts to real-world problems. The course materials were well-organized, and the instructors were knowledgeable and responsive. One of the things that stood out to me was the project on recommender systems, which helped me develop a deeper understanding of collaborative filtering and matrix factorization. Overall, I'm satisfied with the course and would recommend it to others looking to learn more about machine learning.





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Recently updated!

May 2026