Machine Learning Academy
Machine Learning Academy returns, running 13 September – 20 October 2022.
Applications are now open and will close on Wednesday 31 August.
The Machine Learning Academy is a free program designed to introduce founders, entrepreneurs and startup employees who don’t come from a technical background to the basics of machine learning. The programme aims to help you understand how you can incorporate machine learning successfully into your company.
The course is primarily taught by Dr Alastair Moore who teaches Predictive Analytics at UCL and is Head of Analytics and Machine Learning at Mishcon de Reya. Guest presenters include companies currently using cutting edge ML applications who will explain practical examples of how it is currently being applied, potential future applications, and what is theoretically possible with this technology, providing participants with a real world context for the academics they’re taught.
The course will delve into the major techniques and technologies under the umbrella of artificial intelligence. We will walk you through the main types of machine learning (namely supervised and unsupervised learning), as well as neural networks and deep learning models.
By the end of the course, you will have a solid understanding of the business use cases of main algorithms under each type as well as key concepts of model training and optimisation strategies in developing a machine learning pipeline.
Course Schedule (click here for PDF)
13 September – The Basics of Machine Learning (in person)
15 September – Designing ML Systems (in person)
20 September – Business Strategy in a World of Machine Learning (in person)
22 September – Implementing ML in Your Business – Startup Founders (in person)
27 September – Components of an ML Pipeline (in person)
29 September – Data Engineering in Support of Machine Learning (in person)
4 October – Project 1:1 (online)
6 October – Advanced ML Models: Deep Learning (in person)
11 October – Project 1:1 (online)
13 October – Natural Language Processing (in person)
18 October – Project 1:1 (online)
20 October – Roundup and Recap (in person)
“Machine Learning Academy allowed me to explore what ML is and how it can be applied to my business. By combining theoretic approaches with a brief touch on technical knowledge the course allowed me, with a non-technical background, to grasp key aspects of ML. The course expanded my basic knowledge of statistics and demonstrated how these basics support ML methods. I’m now more encouraged to use these in my own business as well as form teams to approach these types of problems. The lectures are well structured and informative supported by further reading to assist with topics being covered. MLA made me think differently about Evidefy and about the architectural profession as a whole. No matter your background or level of knowledge, you need this understanding to have a chance in a world where machine learning and AI are radically changing every industry.”
Once we’ve covered the basics and attendees have grasped an initial understanding of what machine learning is and how it functions, we will move on to how to actually apply ML in your own business. We will prepare you to think about transforming a business to adopt the power of artificial intelligence, or as an entrepreneur, how to launch an AI-driven business. During lectures, you will gain hands-on experience from heads or senior managers of data science and analytics on how to develop AI strategy, build and manage an in-house AI team, provide broad AI training, and more.
“Having attempted taking an online machine learning course, I struggled to grasp the concept. What this course did was break it down, week after week in a classroom environment where questions are asked and answered and world leading practitioners come in and demonstrate ML at work in various industries and disciplines. What’s even more important to point out is we were not just taught the technical aspect, half the course we we were taught business, strategy and implementation. This is a course I strongly recommend to anyone thinking about being ahead of the curve, whatever your industry might be. Alastair Moore is one of the world leading experts in AI so you can be rest assured you are learning from the best. A special gratitude to Capital Enterprise for putting this together!!! The beer and pizza at the end of each session is a great added bonus…”
The programme is extremely popular: previous cohorts have usually received 200+ applications! The programme is part-funded by the European Regional Development Fund, and free to start-ups and scale-ups who meet the ERDF SME criteria. Attendees will be selected based on those who genuinely wish to apply ML in their business. We limit places to a maximum of two people per company in order to ensure a diverse crowd and to enable us to provide this course to the maximum amount of people. We suggest you therefore apply as a company, and specify in your application how many places you are applying for.
We strongly discourage applicants who cannot commit to all of the sessions. If you attend the course and cannot complete the required minimum number of sessions, we cannot provide you with a certificate of attendance.
To apply for a place, you must meet the following requirements:
- Your company must be an SME registered on Companies House with a London address OR an SME that has proof of trading in London.
- Your company must be an SME employing fewer than 250 people, with an annual turnover below €50m, and a balance sheet below €43m.
- We cannot accept your application if anyone from your company attended the previous MLA
Capital Enterprise (UK) Ltd
69 Wilson Street
© Copyright 2019, Capital Enterprise (UK) Ltd. All rights reserved.