Machine learning and data mining: concepts, models, learning methods
The basic technical course for your own AI and data projects
Did you know?
This course is part of the certified "Machine Learning Engineer" Master Class. When you enroll in the entire Master Class, you saveover 26% compared to enrolling in the individual modules.
After the introduction and an introduction to the learning environment, we get straight into the topic: Your:e trainer will go through a first complete pipeline with you, from data preparation to training the data model.
Basics: machine learning and data mining
- Important learning procedures explained in detail
- Implementing data projects with CRISP-DM
- Business Understanding: What does data say?
Data Understanding and Data Preparation
- All about data types and data sources
- Understanding data: What information does data contain?
- First practical examples with exercises in KNIME
- Data preparation for data projects
After reflecting together on the content from the first self-study phases, your:e trainer will introduce you to practical work with the most important data tools. This will give you the knowledge you need to complete your own projects.
Modeling and evaluation
- Clustering with algorithms
- Regression models
- Classification models
- The most important metrics
- Practical examples in KNIME
Basics of neural networks
- How neural networks work
- Overview of the architectures
- Bringing machine learning into production - an outlook
Once all the questions from the self-study units have been answered, the participants' practical exercise projects are evaluated. Your:e trainer will then give you an outlook on the deployment of machine learning models.
Contents and course schedule
1. machine learning and data mining
- Basics of data mining and machine learning
- Important learning procedures explained in detail
- Implementing data projects with CRISP-DM
- Business Understanding: What does data say?
2. data understanding and data preparation
- All about data types and data sources
- Understanding data: What information does data contain?
- First practical examples with exercises in KNIME
- Data preparation for data projects
3. modeling and evaluation
- Clustering with algorithms
- Regression models
- Classification models
- The most important metrics
- Practical examples in KNIME
4. an outlook on deep learning in neural networks
- How neural networks work
- Overview of the architectures
- Bringing machine learning into production - an outlook
- Excursus: Deep learning as a sub-area of machine learning
This is how you learn in this course
This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning Community: A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask questions.
Certificate of Completion and Open Badge: As a graduate of the class, you will receive a certificate of completion and an open badge that you can easily share on professional networks (such as LinkedIn).
Your benefit
You'll learnwhat artificial intelligence is, how it works,andhow you can use AI.
You'll learnabout the importance of datafor automation, analysis, and model building, as well as what matters when it comes todata quality.
You canclean and prepare data to carry out your own data mining or machine learning projects.
You will learn aboutthe technical processes involved in machine learningand be able to explain them clearly within the company.
You'll gainyour first hands-on experience working with data and training sets, and you'll be able to put your knowledge to use right away.
You are able to make informeddecisions about the use of AI inyour company and can communicatewith technical departments on an equal footing.
Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
Methods
Well-founded trainers, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience in the learning community.
Tools
Recommended for
This course is aimed at anyone who wants to know exactly what AI is all about. We recommend this course to decision makers in companies as well as product managers, product owners and process managers who want to automate processes with AI. The course is also an ideal introduction to data mining and AI for technical managers and specialists.
Overall, the course is the ideal introduction to AI and machine learning. It is equally suitable for newcomers and career changers as well as for people with prior knowledge who want to deepen their AI knowledge and put it into practice.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Put Algorithms & AI to Productive Use – with the "Machine Learning Engineer" Master Class
Start dates and details
About us - The Haufe Akademie
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Whether on site, live online or in-house - our customised solutions, our claim to the highest level of consulting expertise and training tailored to your needs simplify the acquisition of skills for the working world of the future and sustainably facilitate professional development.
A wide range of seminars, individual coaching and our flexible formats support HR managers and decision-makers in shaping the future and developing employees, in-house teams and companies.
Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
Do you have any questions?
We are there for you Monday to Friday 8:00 a.m. - 5:00 p.m.
Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
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