Mind Project

Data Science Training and Big Data Predictive Analytics

AI for Healthy Ageing – AI-Friendly Open Webinar Series

AI for Healthy Ageing - AI-Friendly Open Webinar Series

AI for Healthy Ageing – AI-Friendly Open Webinar Series

£0.00

Monday, 16th of October 2023, 15:30-16:30 London (UK) time

Webinar type: Free and open to general public – registration required

Deadline for registrations: Monday, 16th of October 2023 @ 15:00 London (UK) time

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Course Overview

Webinar Overview

Abstract

According to the World Health Organization, the proportion of the world’s population over 60 years will reach 22% by 2050 (nearly double compared to 12% in 2015). Therefore, the research on approaches that improve both the efficiency of healthcare and the quality of life of older people has a paramount significance for individuals, their families and communities, global economy and national health systems alike. From early-stage diagnostic tools, new drug discovery to prescriptive, individually-targeted bespoke lifestyle regimes, AI has already shown a tremendous potential in affecting the ageing process for many people. During this webinar, we will showcase these AI innovations and discuss future opportunities in their applications for healthy ageing.

This open-to-public event will provide a general and non-technical overview of AI methods, their implementations and practical applications of machine learning and AI approaches in healthcare – specifically in projects aimed at improving quality of life for older people.

Simon Walkowiak

The webinar will be run and moderated by Simon Walkowiak – director at Mind Project Limited and a Ph.D. researcher in Artificial Intelligence at the Bartlett Centre for Advanced Spatial Analysis (University College London) and the Alan Turing Institute in London.

Resources and further reading

This section lists selected online resources and references to further reading which are relevant to the topic of this webinar:

Who is this webinar for?

This webinar is a short 1-hour online event which is recommended to those who are interested in learning about recent AI innovations and methods that are applied to the growing field of healthy ageing, and especially, the recent advances in the AI research on longevity, drug discovery and early disease diagnosis. The event will also be of interest to those who wish to learn about new data science, technology and AI developments, and those who explore the overlapping areas and intersections of AI, biomedical sciences, public health and social sciences.

Webinar delivery

This event is part of the “AI-Friendly” series of live webinars open to the general public and organised by Mind Project Ltd. The webinar is completely free-of-charge to attend, however the prior registration is required. Once registered for the event, you will receive an email with Joining Instructions. You can register more than 1 person on this webinar – each registered attendee will receive a separate email explaining how to join the event. Our open-to-public webinars are run via the Microsoft Teams application.

The webinar will run for approximately 1 hour. It will be run live and moderated by Mind Project employees, however other external guests might be invited to take part in a panel session or as interviewees. As an attendee, you may ask questions, discuss the topic and interact with other participants of this webinar. You can also message us during and after the webinar by using the Chat functionality within Microsoft Teams application.

This webinar will be recorded, but access to the recording will be restricted to registered attendees only. As the webinar will be recorded, you will enter the meeting with your camera and microphone switched off to protect your privacy, however feel free to unmute yourself and turn the camera on when you ask questions or participate in the discussion.

Webinar date: Monday, 16th of October 2023, 15:30 – 16:30 (London, UK  time)

Deadline for registrations: Monday, 16th of October 2023, 15:00 (London, UK time)

Course Overview

AI for Healthy Ageing – AI-Friendly Open Webinar Series

What did previous delegates say about our courses?

“A very clear and practical overview of R and how it can be used in real world data sets. Learning from an expert!” - G's Group Holdings - Applied Data Science with R
“Excellent course for beginners and not-so-beginners in data analysis with Python. Simon brings real-world experience to the table and is a patient, knowledgeable and personable instructor.” - Roxana Lupu, Medallia - Applied Data Science with Python
“Thank you for sharing great knowledge with us which will be used for and will contribute a lot towards our business.” - Cabot Financial Ltd - Machine Learning with R
“Highly recommended, best place to start for machine learning with R!” - Max Fennelly, Pearson Ham - Machine Learning with R
"Great introduction to Hadoop from a clearly knowledgable demonstrator." - Feargal Egan, G-Research - Introduction to Hadoop with Java
“Simon is very knowledgeable and provided lots of solutions to consider in dealing with Big Data.” - Aidan Mews, Ministry of Justice - Big Data Methods with R
“The course has given me a greater understanding of Python and its capabilities.” - Mike Watts, Adactus Housing - Applied Data Science with Python
“This course was a great way to get an introduction to R and how it can be used to perform statistical analysis and run data visualisations.” - Daria Kuznetsova, Director of Strategy and Research at Teach First - Applied Data Science with R
“A really good, hands-on introduction that left me aware of and confident to use Hadoop stack. The practical writing of MapReduce and querying Hive was extremely useful.” - Chris Mainey, University College London & University Hospital Birmingham - Introduction to Hadoop with Java
“This course teaches you everything you need to know about the basic operations of R and useful exploratory data analysis tools. The content is both challenging and engaging, and the trainer is extremely supportive.” - Thomas Weeks, NHS Improvement - Applied Data Science with R
“The Machine Learning with R course by Mind Project provides a fantastic overview of supervised and unsupervised ML models and their applications. The course offers details on important topics such as advanced model evaluation metrics which are not emphasised on other ML courses.” - James Patten, Deloitte UK - Machine Learning with R
“I don't think I will ever open Excel again. The course has confirmed my perception of the applicability of R in the NHS.” - Paul Stroner, Deputy Director of Information and Analytics, NHS - Applied Data Science with R
“Really enjoyed the course! Simon had a great way of taking us from simple R topics to more complex Hadoop related concepts, which opened the window into Big Data methods.” - Sofia Diamanti, Deloitte UK - Big Data Methods with R
“This was a great course – very practical and taught in a relaxed style.” - Sophie Reid, Design Council - Applied Data Science with R
“The best organised data science course I have found so far.” - David Metcalfe, Doctoral Candidate, University of Oxford - Applied Data Science with Python
“Enjoyed the course. The tutor is in command of his subject and patient with his students.” - Dean Allsopp, DA Consulting - Machine Learning with R
“Simon is a great teacher – his workshops flow well and move at a good pace. I’ve really enjoyed both courses with Mind Project and I would definitely recommend them.” - Ellen Talbot, University of Liverpool - Machine Learning with R and Big Data Methods with R
“Excellent course for the intro to R, I highly recommend it.” - Dr Edward Barker, Institute of Psychiatry, King's College London - Applied Data Science with R
“The course provides a beginner enough knowledge to start analysis using R. I appreciated the instructor’s knowledge and the willingness to give as much explanation as possible.” - Prof. Sunil Sahadev, Salford Business School - Applied Data Science with R
“Informative and very useful, interactive course.” - Kuldeep Sohal, Bradford Institute for Health Research - Applied Data Science with R
“Course excellently laid out. Very rich content. It will provide material and food for thought for years!” - Ernesto Addiego-Guevara, Imperial College London - Applied Data Science with Python
“Simon was exceptional in conducting this course. The course covered a nice mixture of theory and practicals related to R, databases and Hadoop. It has really helped me to understand a lot of concepts and has motivated me to work on Hadoop.” - Sushant Chatufale, University of Portsmouth - Big Data Methods with R
“This is a great course, which I would recommend to anyone with an interest in data science no matter your ability.” - Clair Cooper, Durham University - Applied Data Science with R
“Great course, it covers a lot of material. Good balance between maths, theory, R and stats.” - Gordon Izatt - Machine Learning with R
“Expert tuition in Python and Machine Learning. I am now inspired and equipped to apply what I've learnt.” - John Taylor, TR Control Solutions Ltd - Machine Learning with Python
“This is a unique face-to-face course on data analysis using Python. Very rich learning experience in 3 days.” - Hamad Al Jassmi, Assistant Professor at UAE University - Applied Data Science with Python
“A great starter course. Exercises were provided so that we could practice and we could easily communicate with the course teacher.” - Iqqra Aziz, Get The Data - Applied Data Science with R
“Excellent and thorough intro to R, exceeded my expectations.” - Shahrooz Aliabadi, Lapinco Ltd - Applied Data Science with R
“Very interesting course. Really useful tutorials that progressed understanding of machine learning concepts.” - Talia Beech, Canadian Department of National Defence - Machine Learning with R
“The course provided me with a strong knowledge base to build upon.” - Tobias Koelsch, REWE Group - Machine Learning with Python
“Very informative, made me think of the potential Python holds in many fields. The trainer was excellent, he made everyone comfortable to contribute.” - Naeema Al Darmaki, UAE University - Applied Data Science with Python
“Excellent course. Very well structured and very professional. Simon catered for all abilities. Everyone gained a lot of information. Value for money.” - Dr. Noreen Quinn, Lecturer in Statistics, Cork Institute of Technology - Machine Learning with R
“Excellent course, a lot to cover and take back. Perfectly suited to analysts improving their skills in Python.” - Ben Amos, Argos - Applied Data Science with Python
"The course is very informative and Simon has been a great tutor. The ML steps he taught us is quite clear from setting up the python environment, running the scripts and analysis. He taught us new techniques in ML and how to do it properly." - Farraen Mohd Azmin Senior Project Engineer: Machine Learning Specialist - Machine Learning with Python
"Extremely useful introduction course to ML. It's really great to have the basics so clearly laid out, will definitely make use of the learnings and material in the future!" - Siem van Limpt, Senior Consultant, Element Energy - Machine Learning with Python
"The course provided an incredible overview of regression, clustering and classification methods. The amount of material we covered in three days was substantial, but Simon kept it clear, and the homeworks were a really helpful opportunity to bed in learning" - Harry Lloyd, Marine Data Scientist - Machine Learning with Python

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