Learning outcomes
Training Introduction
In this 2-day training you will learn how to build machine learning applications and deploy them in your own organization. You will learn all about loading and processing data, creating regression models, evaluating predictions, classify and cluster data, improve models by combining them into ensembles, and many other AI tricks.
You will learn how to smartly implement AI and machine learning techniques in business software. We will cover use case like automatic text analysis, revenue growth prediction, suspicious transaction flagging, and many others.
During the course Mark Farragher will share many tips and tricks on how you can start
introducing AI and data science functionality to your business today with just a few lines of code.
Technology Platform
This course features technology demos that use the C# programming language and the Microsoft ML.NET machine learning library. The code will be made available to all participants.
Key Takeaways
• Have experienced machine learning first hand
• Understand the stages of a machine learning process
• Learn what pitfalls to watch out for when implementing machine learning in your organization
• Discover what works and what doesn’t work in machine learning
• Gain actionable AI tools to use when you go back to work
• Get a chance to walk out with a great plan on how to AI-enable your work
• Have learned about many examples of how machine learning can benefit organizations
Training Schedule
Day one
09:00 Registration
09:15 Welcome and Introductions
09:30 What is Machine Learning?
10:30 Foundations of machine learning – Linear regression
11:30 Tea, Coffee, Networking
12:00 Foundations of machine learning – Binary classifiers
13:00 Lunch & Networking
14:00 Foundations of machine learning – Multiclass classifiers
15:00 Tea, Coffee, Networking
15:30 Foundations of machine learning – Neural networks
16:30 Feedback and Q&A
17:00 End of Day 1
Day two
09:00 Day Introduction
09:15 Supervised Learning Algorithms: Decision Trees
10:30 Tea, Coffee, Networking
11:00 Supervised Learning Algorithms: Ensembles
12:00 Lunch & Networking
13:00 Unsupervised Learning Algorithms: Clustering
14:00 Unsupervised Learning Algorithms: The Recommendation System
15:00 Brainstorm session – use AI to automate your business
16:00 Feedback and Q&A
16:30 End of Day 2
Training Program
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Get to know the Expert Trainer
Mark is a serial entrepreneur and the author of 12 successful IT courses in the Udemy marketplace. His career spans over two decades during which he has been a Founder twice and CTO three times. He has launched two successful lean startups in The Netherlands. Mark became a Microsoft Certified Trainer in 2005 and started training
classes in full stack development. Today he uses his extensive knowledge of IT to help CIOs, CTO s, architects, and forwardlooking tech professionals to make sense of AI, Machine Learning, and Computer Vision. Mark is a certified Microsoft Trainer and Scrum master. He speaks fluent English, Dutch, and German.
Who should attend?
• CEOs interested in machine learning and AI
• Chief Information Officers
• Chief Technical Officers
• Solution Architects
• Vice Presidents of Engineering
• Directors/Heads of AI
• Business Analysts
• Senior AI Software Developers
Knowledge of software development and programming is recommended for this course but not required to attend.
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FAQ
The client has the right to cancel his/her registration in the event.
There is a 50% liability on all conference registrations once made, whether the booking was made through our website or via e–mail/ telephone/ fax.
If the client cancels with more than 8 weeks’s advance notice, GLC shall be entitled to an amount equivalent to 50% of the conference fee and 16 EUR administration charge. In case the client has already made his/her payment, this will be deducted from the conference fee GLC has already received and the remainder will be refunded. If no conference fee has been received prior to the cancellation request, GLC will issue an invoice for the cancellation fee (the amount equivalent to 50% of the conference fee and 16 EUR administration charge), which the client must pay immediately upon receipt. No refunds are available for cancellations received with 8 week’s (or less) advance notice or in case the client fails to attend the conference. In these cases, the full amount of the conference fee must be paid.
- Get the timing right.
Many people are afraid to request for training budget, because they can’t seem to find the “perfect time” to do it. Well, there’s no perfect time to ask for it, but there are definitely some moments that are better than others. For instance, if your boss is about to take a two week vacation, he/she might be in a good mood. If he/she just lost a major account, may not be wise at that juncture. - Make a case for yourself
When you ask for budget, you should be prepared with specific details and explanations about what is in it for the company and you’re superior. If you go into a meeting and just say, “I want to get budget for a conference,” it’s likely that your request won’t be taken seriously. If you want to plan ahead, then you should be prepared to explain the following points:
1. Start by stating your accomplishments
2. Show that you’re ready for more responsibility and eager to learn
3. Describe:
a) How this event will increase your productivity?
b) How you will need less supervision
c) How you can bring back the knowledge to the company
4. Follow up