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マシンラーニング高度専門資格(アドバンスド) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Deep Learning

2

Neural Networks

3

Advanced Regression

4

Unsupervised Learning

5

Dimensionality Reduction

6

Clustering Algorithms

7

Decision Trees

8

Random Forests

9

Support Vector Machines

10

Gradient Boosting

11

Transfer Learning

12

Convolutional Neural Networks

13

Recurrent Neural Networks

14

Natural Language Processing

15

Time Series Forecasting

16

Recommendation Systems

17

Advanced Topic Modeling

18

Anomaly Detection

19

Ensemble Methods

20

Graph Neural Networks

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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Self-paced
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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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Self-paced · Certificate included · 24/7 access · 60-second start.
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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 'マシンラーニング高度専門資格(アドバンスド)' course at Stanmore School of Business! As a professional in the field, I was looking to upskill and expand my knowledge in machine learning. The course content was incredibly comprehensive, covering everything from the basics to advanced topics like deep learning and neural networks. The practical exercises and projects were particularly helpful, allowing me to apply theoretical concepts to real-world problems. I was able to achieve my learning goals and even landed a promotion at my company thanks to the skills I gained. The course materials were top-notch, with engaging video lectures, detailed notes, and relevant case studies. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone looking to advance their career in machine learning.

LH
Leila Hassan
EG · Course completed

I recently completed the 'マシンラーニング高度専門資格(アドバンスド)' course at Stanmore School of Business, and I must say it was a great experience! As someone from a non-technical background, I was a bit apprehensive at first, but the course materials were well-structured and easy to follow. The instructors were knowledgeable and provided excellent support throughout the course. I gained a solid understanding of machine learning concepts, including supervised and unsupervised learning, regression, and classification. The course also covered more advanced topics like natural language processing and computer vision. While I felt that some of the topics could have been explored in more depth, overall I'm happy with what I learned and feel more confident in my ability to apply machine learning techniques in my work.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'マシンラーニング高度専門資格(アドバンスド)' course at Stanmore School of Business exceeded my expectations in every way! The course content was incredibly engaging, with a perfect mix of theoretical foundations and practical applications. I loved the hands-on exercises and projects, which allowed me to experiment with different machine learning algorithms and techniques. The instructors were passionate and knowledgeable, and the community support was amazing – I made some great connections with fellow students and we're still in touch, sharing knowledge and resources. The course materials were also very comprehensive, with detailed notes, videos, and quizzes that helped reinforce my understanding. I gained so much from this course, including a deeper understanding of machine learning fundamentals, as well as practical skills in Python, TensorFlow, and scikit-learn. I'm so grateful to have taken this course and can't recommend it enough!

RK
Rahul Kapoor
IN · Course completed

I'm delighted to share my experience with the 'マシンラーニング高度専門資格(アドバンスド)' course at Stanmore School of Business. As a data scientist, I was looking to enhance my skills in machine learning and stay up-to-date with the latest developments in the field. The course content was well-structured and covered a wide range of topics, from basics like linear regression and decision trees to more advanced topics like deep learning and reinforcement learning. The course materials were of high quality, with clear explanations, relevant examples, and useful references for further learning. I appreciated the emphasis on practical applications and the opportunity to work on real-world projects. While I felt that some of the assignments could have been more challenging, overall I'm satisfied with what I learned and feel more confident in my ability to apply machine learning techniques to solve complex problems.





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Recently updated!

May 2026