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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 in the US, I was looking to enhance my skills in machine learning, and this course exceeded my expectations. The course content was incredibly comprehensive, and I appreciated how it balanced theoretical foundations with practical applications. One of the most valuable aspects was the hands-on experience with TensorFlow and PyTorch, which I've since applied to improve predictive models in my current project. The quality of the course materials, including the video lectures and accompanying readings, was top-notch. I'm thoroughly satisfied with my learning experience and would highly recommend this course to anyone seeking to advance their skills in machine learning.

LH
Leila Hassan
EG · Course completed

I found the 'Maschinelles Lernen' course to be quite insightful. Coming from an engineering background in Egypt, I was interested in exploring how machine learning could be applied to solve real-world problems. The course provided a solid introduction to the basics of machine learning, including supervised and unsupervised learning techniques. While I found some of the mathematical derivations challenging, the instructor's explanations and the provided resources were helpful. One aspect that I found particularly useful was the discussion on feature engineering, which I hadn't considered deeply before. The course materials were relevant and well-structured, making it easier to follow along. Overall, my experience with the course was positive, and I believe it has given me a good foundation to continue learning about machine learning.

RA
Raj Anand
SG · Course completed

Wow, just wow! The 'Maschinelles Lernen' course at Stanmore School of Business has been a game-changer for me. As someone working in the fintech industry in Singapore, I was eager to learn more about machine learning to stay ahead in the field. This course delivered beyond my expectations. The instructor's enthusiasm was infectious, and the way the course was structured made complex concepts seem accessible. I loved the practical assignments, especially the one on natural language processing, which opened my eyes to the possibilities of ML in text analysis. The support from the teaching team was also commendable, with prompt responses to queries. If you're considering this course, don't hesitate – it's worth every moment of your time. The knowledge and skills I've gained have already started to pay off in my professional projects.

ÉM
Élise Martin
FR · Course completed

I approached the 'Maschinelles Lernen' course with a mix of excitement and trepidation, given my limited background in programming. However, the course at Stanmore School of Business proved to be a pleasant surprise. The introductory sessions were well-paced, allowing me to grasp the fundamentals of Python and its libraries, which are essential for machine learning. The explanations of key concepts, such as neural networks and deep learning, were detailed and accompanied by illustrative examples. While some topics, like the math behind certain algorithms, required additional study on my part, the course materials were excellent, with clear notes and relevant references for further reading. My experience was overall very positive, and I appreciate how the course has motivated me to continue exploring the field of machine learning, particularly in applications related to my interests in environmental science.





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Recently updated!

May 2026