£10

An Introduction to Machine Learning - Evening Workshop by FeedForwardAI & E...

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Location

Experience Haus at the Matter of Form offices

Unit 4 - Galaxy House

32 Leonard Street

London

EC2A 4LZ

United Kingdom

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Refund Policy

Refund Policy

Refunds up to 7 days before event

Event description

Description

What is the workshop about?

Skills in machine learning and deep learning are already in huge demand, and that demand is only set to grow. Find out how you can become part of the future A.I. workforce by learning to work effectively with this technology, develop models suitable to the task, and to modify, customise and debug existing implementations.

The workshop will also help you understand what will be covered on the longer format course - Foundations of Machine Learning

Where is it?

Experience Haus at the Matter Of Form Offices – Unit 4 - Galaxy House, 32 Leonard Street, Old Street, London, EC2A 4LZ.

If using Old Street station, please take Subway 2 and then we are just a 2 minute walk from there.


Who is the instructor?

Dr Kevin Webster is an Honorary Research Fellow in Mathematics at Imperial College. Kevin recently co-designed and taught the graduate level course on Deep Learning in the mathematics department at Imperial College London in Autumn 2018. He completed his PhD in Mathematics (Dynamical Systems) at Imperial College and has over 7 years of research experience, including postdoctoral positions at Imperial College London and a Marie-Curie Individual Fellowship.


Who is this workshop for?

The evening workshop is open to anyone. The full course presumes pre-existing technical proficiency. You might be a web developer, backend developer or data scientist interested in expanding your skills to include machine learning.


Details of the full course - Foundations of Machine Learning

The full course aims to give developers/technical personnel a solid grounding in the field of machine learning, assuming no prior knowledge of the field. Regular practical sessions are combined with lecture-style content to consolidate the course material. By the end of the course you will understand the concepts underlying many popular machine learning algorithms, how to fit the models and where to apply them. You will also practice implementing some of these algorithms, and gain experience working with the popular python machine learning library scikit-learn.

Summary of the syllabus:

  • Introduction to artificial intelligence (AI) and machine learning (ML). Basic important concepts underpinning machine learning.
  • Mathematical prerequisites review.
  • Linear regression. Basis functions, numerical and analytical solutions, regularisation.
  • Classification algorithms. K-nearest neighbours, logistic regression, neural networks, naive Bayes classifier.
  • Dimensionality reduction. Principal components analysis (PCA). Nonnegative matrix factorisation (NMF).
  • Clustering algorithms. K-means clustering.
  • Support vector machines. Maximum margin classifiers, linear and nonlinear models.
  • Anomaly detection algorithms. Density based models, k-NN, local outlier factor. One class SVMs, elliptic envelope, isolation forest.


About the FeedForward AI Academy

FeedForward AI is the bridge between A.I. research and its practical applications. The Academy courses enable software developers & decision makers within every business to develop theoretical and practical understanding of machine learning & deep learning, including core principles and specialist topics. Artificial intelligence will revolutionise every industry and we want to enable you and your business to lead the way.


What is Experience Haus?

Dedicated to delivering affordable education and spaces for self-improvement. Experience Haus provides applied learning courses for organisations and individuals covering an abundance of different digital expertise.

In the wake of expensive living costs, low cost education is essential. Experience Haus offers practitioner taught technical skills training for high demand disciplines such as Influencer Marketing, Product and UX Design and User Research. Crucially, the company goes above and beyond the purely technical and hopes to uncover the black holes in business. The company’s offering of events, part-time courses (pairing students with start-ups) and hands-on workshops intends to bridge the gap between economical and accessible learning for the curious. Experience Haus is proudly part of the Matter Of Form Group.

Website: http://www.experiencehaus.com


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Date and Time

Location

Experience Haus at the Matter of Form offices

Unit 4 - Galaxy House

32 Leonard Street

London

EC2A 4LZ

United Kingdom

View Map

Refund Policy

Refunds up to 7 days before event

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