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Fortgeschrittenes Zertifikat Für Maschinelles 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

Lineare Regression

3

Logistische Regression

4

Entscheidungsbäume

5

Random Forest

6

Unterstützende Vektor Maschinen

7

K-Means Clustering

8

Hierarchisches Clustering

9

Dimensionalitätsreduktion

10

Überfitting Und Regularisierung

11

Validation Und Bewertung

12

Datenpräparation Und Vorverarbeitung

13

Feature Engineering

14

Ensemble Methoden

15

Gradient Boosting

16

Neuronale Netze

17

Tiefes Lernen

18

Überwachtes Lernen

19

Unüberwachtes Lernen

20

Best Practices Für Maschinelles Lernen

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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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 thoroughly impressed with the Fortgeschrittenes Zertifikat Für Maschinelles Lernen course at Stanmore School of Business! As a data scientist from the United States, I was looking to expand my skill set in machine learning, and this course delivered. The comprehensive curriculum covered everything from supervised and unsupervised learning to deep learning and neural networks. I particularly appreciated the hands-on projects, which allowed me to apply theoretical concepts to real-world problems. The course materials were top-notch, with engaging video lectures, informative readings, and challenging assignments. The instructors were knowledgeable and responsive, providing valuable feedback on my work. Overall, I'm extremely satisfied with the course and feel confident in my ability to tackle complex machine learning tasks. I highly recommend this course to anyone looking to advance their career in this field!

LH
Leila Hassan
EG · Course completed

I recently completed the Fortgeschrittenes Zertifikat Für Maschinelles Lernen course at Stanmore School of Business, and I must say it was a great learning experience. As a software engineer from Egypt, I was looking to gain practical knowledge in machine learning, and this course provided me with a solid foundation. The course covered a wide range of topics, including data preprocessing, feature engineering, and model evaluation. I found the course materials to be relevant and up-to-date, with many examples and case studies that illustrated key concepts. The instructors were supportive and provided helpful feedback on my assignments. One area for improvement could be the addition of more advanced topics, such as transfer learning and attention mechanisms. Nevertheless, I'm happy with the course and feel more confident in my ability to apply machine learning techniques to real-world problems.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Fortgeschrittenes Zertifikat Für Maschinelles Lernen course at Stanmore School of Business was an absolute game-changer for me! As a researcher from Japan, I was looking to gain expertise in machine learning, and this course exceeded my expectations. The course content was incredibly comprehensive, covering everything from the basics of machine learning to advanced topics like reinforcement learning and generative models. I loved the interactive quizzes and exercises, which helped me test my understanding of key concepts. The course materials were also superb, with many visual aids and animations that made complex ideas easy to grasp. The instructors were enthusiastic and knowledgeable, and their feedback on my work was always constructive and helpful. I'm so glad I took this course – it's been a truly transformative experience that's opened up new opportunities for me in the field of machine learning!

RS
Rafaela Silva
BR · Course completed

I'm really pleased with the Fortgeschrittenes Zertifikat Für Maschinelles Lernen course at Stanmore School of Business. As a data analyst from Brazil, I was looking to improve my skills in machine learning, and this course provided me with a solid foundation. The course covered a wide range of topics, including regression, classification, and clustering. I appreciated the emphasis on practical applications, with many examples and case studies that illustrated key concepts. The course materials were well-organized and easy to follow, with clear instructions and concise explanations. The instructors were also responsive and provided helpful feedback on my assignments. One thing that could be improved is the addition of more advanced topics, such as natural language processing and computer vision. Nevertheless, I'm happy with the course and feel more confident in my ability to apply machine learning techniques to real-world problems. Overall, I'd definitely recommend this course to anyone looking to learn machine learning from scratch.





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Recently updated!

May 2026