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Maschinelles Lernen

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Overview

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Learning outcomes

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Course content

1

Einführung In Maschinelles Lernen

2

Grundlagen Der Mustererkennung

3

Überwachtes Lernen

4

Unüberwachtes Lernen

5

Tiefes 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

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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 thrilled to have taken the '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 exceeded my expectations. The instructor's expertise and the quality of the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me understand complex concepts like neural networks and deep learning. The course content was well-structured, and I loved how it covered both the theoretical foundations and practical applications of machine learning. I've already applied the knowledge I gained to improve the accuracy of my predictive models, and I'm excited to continue exploring the field. 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 found the 'Maschinelles Lernen' course to be a great introduction to the field of machine learning. As a beginner, I was a bit intimidated by the subject matter, but the course materials were clear and concise, making it easy for me to follow along. I appreciated the variety of topics covered, from supervised and unsupervised learning to reinforcement learning and natural language processing. The course also provided plenty of opportunities for practice, which helped me build confidence in my abilities. One area for improvement could be the addition of more advanced topics, but overall, I'm happy with what I learned and feel more confident in my ability to apply machine learning concepts to real-world problems. Thanks to Stanmore School of Business for offering this course!

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Maschinelles Lernen' course at Stanmore School of Business was an incredible experience! As a software engineer from Japan, I was looking to improve my skills in machine learning, and this course delivered. The instructor was knowledgeable and enthusiastic, and the course materials were engaging and relevant. I loved the interactive coding assignments and the opportunity to work on projects that simulated real-world scenarios. The course covered a wide range of topics, from the basics of machine learning to more advanced subjects like computer vision and robotics. I was impressed by the quality of the course and the support provided by the instructors. I've already started applying the knowledge I gained to develop new features for our company's products, and I'm excited to see the impact it will have on our business. If you're interested in machine learning, don't hesitate to take this course – you won't regret it!

AO
Ana Oliveira
BR · Course completed

I took the 'Maschinelles Lernen' course at Stanmore School of Business to improve my understanding of machine learning and its applications in business. As a marketing analyst from Brazil, I was looking for a course that would provide me with practical knowledge and skills, and this course met my expectations. The course materials were well-organized, and the instructor did a great job of explaining complex concepts in a clear and concise manner. I appreciated the focus on real-world examples and case studies, which helped me understand how machine learning can be applied in different industries. One thing that could be improved is the addition of more interactive elements, such as discussions or group projects, to enhance the learning experience. Overall, I'm satisfied with the course and feel more confident in my ability to apply machine learning concepts to drive business growth.





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Recently updated!

May 2026