Jan 11, 2021 - Apr 30, 2021
Applications will open again in the future
Machine Learning Engineers are key to future decision-making in any data-driven company.
Our support team have been there and done that - they are experienced practitioners of data science in various fields such as Utilities, Retail and Financial Services; with a solid academic background.
The course is built around solving actual problems whilst learning about the latest machine learning techniques.
EXPLORE prides itself on the practicality of the course. Participants must be able to apply the skills/knowledge that they acquired in your everyday job to impact their business.
Participants will have extended access to the material that are covered in the course, allowing them to revisit the techniques to keep it fresh in their mind.
Students will master the model building process and the various machine learning algorithms to use when predicting or classifying. For those not born programmers, there will be material to cover the basics of programming in python.Download Full Syllabus
Students will learn to code in python. From basic syntax to complex logic statements and functions. They will also cover utilising external libraries to make programming simpler.
This 2-minute outline video summarises everything you need to know about our Machine Learning course, including the subject matter, content delivery, workload, and difficulty.
We take teaching seriously. Great teachers inspire us to connect with topics on a profound level. With experience in the field and the classroom, our data science instructors are unmatched. Simply put: students learn from the best.
Four megatrends are fundamentally changing the shape of our world:
All of these things above mean that it’s becoming easier and quicker to produce models that can analyze bigger/more complex data and deliver more accurate results – even on a very large scale. By building prediction models a business has a better chance of identifying profitable opportunities – or avoiding unknown risks.
One upfront payment, payable before the start of the course
3 Monthly payments, payable in advance at the start of each month
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