Lo que hacemos

Beginner's Machine Learning (BML) is a meetup group dedicated to learning machine learning, computer vision, natural language processing, knowledge representation, and artificial intelligence via hands-on workshops. We run workshops for all skill levels who want to join this exciting field and our meetings cover research papers and new algorithms in the field. We also organise fun and engaging meetups and networking events related to AI and ML.

Join our Slack Channel (http://tiny.cc/joinbmlslack) to collaborate, discuss ideas and post questions!

Slack Channel:

List of recommended books by BML:

1. The Hundred-Page Machine Learning Book by Andriy Burkov

2. Deep Learning with Python by Francois Chollet

3. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron

4. Python Machine Learning by Sebastian Raschka

5. Grokking Deep Learning by Andrew W Trask

Próximos eventos (3)

BML Presents - Pie & AI London - A Conversation with Dr. Andrew Ng

Welcome to the very first deeplearning.ai Pie & AI webinar meetup in Europe on October 17th, 2019 hosted by Beginners Machine Learning Meetup group and sponsored by Comply Advantage! Register Here (you must register via Eventbrite): https://www.eventbrite.com/e/pie-ai-london-a-conversation-with-dr-andrew-ng-tickets-73508609229 If you’re wondering what an AI career looks like, what the best learning path is, what courses you should take and how to overcome common challenges when breaking into AI, come join us! The event will kick off with an exclusive live video talk from Dr. Andrew Ng. He will share exciting AI trends and tips and tricks for how to build a career in AI. We'll follow with a keynote and a panel discussion from local guest speakers and AI experts. They'll also be taking questions from the audience. This Pie & AI webinar meetup series will be hosted in several cities in Europe simultaneously. This one is in London. Come meet your fellow deep learners! We hope to see you for Pie & AI on 10/17! Event Agenda: British Summer Time ================== 5:00pm-6:00pm: Doors open + food and drinks 6:00pm-6:10pm: Introduction 6:10pm-6:30pm: Live video talk from Dr.Andrew Ng 6:30pm-7:00pm: Q&A 7:00pm-7:40pm: Keynote or panel discussion from local guest speakers 7:40pm-8:00pm: Mingle with your fellow deep learners! *Please note: Andrew's live video talk will be available exclusively at the venue for in-person attendees. About: ================== Andrew Ng: Dr. Andrew Ng, a globally recognized leader in AI, is CEO of Landing AI and General Partner at AI Fund. As the former Chief Scientist at Baidu and the founding lead of Google Brain, he led the AI transformation of two of the world’s leading technology companies. A longtime advocate of accessible education, Dr. Ng is the Co-founder Coursera, an online learning platform, and founder of deeplearning.ai, an AI education platform. Dr. Ng is also an Adjunct Professor at Stanford University’s Computer Science Department. About Pie & AI: Pie & AI is a series of deeplearning.ai meetups that bring together the global AI community. Events typically include conversations with leaders in the world, thought-provoking discussions, networking opportunities with your fellow learners, hands-on project practice, and pies (or other desserts you prefer.) About ComplyAdvantage: ComplyAdvantage shows you the real risk of who you’re doing business with using the world’s only dynamic global risk database of people and companies. Our suite of configurable cloud services integrates seamlessly into your workflow to automate regulatory processes and reduce the frustration of complying with Sanctions, AML and CFT regulations. https://complyadvantage.com/ About Beginner's Machine Learning (BML): Beginner's Machine Learning is a meetup group dedicated to learning machine learning, computer vision, natural language processing, knowledge representation, and artificial intelligence via hands-on workshops. BML runs workshops for all skill levels who want to join this exciting field. Please note: You MUST be registered for this event on Eventbrite to attend. We are not able to admit non-ticket holders into the building due to limited capacity. You will be required to sign in with a valid ID at the entrance. Can't make it? The event will be recorded, and we'll post the link on deeplearning.ai social channels after the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming and the right to use them in their printed and online publicity, social media, press releases and funding applications.

BML Presents - Open Data Machine Learning Hackathon #1

Join us for our first-ever Open Data Machine Learning Hackathon at Frequency Cafe & Co-working space at Kings Cross in London! During this hackathon, you will use open data from UK central government, London Datastore, the office of rail and road (ORR), Network Rail (NR), Transport for London (TfL), UK data service, NASA or even Kaggle.com to develop and deploy machine learning models that can be used to predict, classify and forecast insightful trends or automate repetitive tasks. Attendees can pitch ideas and form teams around them. Teams can then work on developing, training and deploying ML models in the cloud that can be used for inference. Please formally register on Eventbrite for free to confirm your space. Spaces are very limited for this hackathon. https://www.eventbrite.com/e/bml-presents-open-data-machine-learning-hackathon-1-tickets-77131689961 OPEN DATA SOURCES (Feel free to use other sources) =================== UK Government Open Data https://data.gov.uk/ Office of Rail and Road Open Data https://dataportal.orr.gov.uk/ Network Rail Operational Data Feeds: https://datafeeds.networkrail.co.uk/ntrod/login;jsessionid=5079EF12028EE157FD563C87A8331AE5 Transport for London Open Data: https://tfl.gov.uk/info-for/open-data-users/our-open-data UK Data Service: https://www.ukdataservice.ac.uk/ London Datasource https://data.london.gov.uk/ Kaggle Datasets https://www.kaggle.com/datasets UC Irvine Machine Learning Datasets https://archive.ics.uci.edu/ml/datasets.php NASA Open Data https://open.nasa.gov/open-data/ ABOUT - VENUE SPONSOR - FREQUENCY CAFE ================== Frequency Cafe has kindly agreed to sponsor us for this event. A word from Frequency Cafe: "Frequency is a specialty coffee shop, tucked in the heart of Kings Cross, just a short walk from the station. Frequency aims to bring the finest coffee, food and drinks to the city in a stylish and creative environment. Every evening our cafe turns into a cosy dimly bar serving quality beer, wine and cocktails. We look forward to welcoming you Website: https://frequencycoffee.com/ Please support the cafe and co-working space by purchasing drinks and food while participating in this hackathon. Food Menu: https://www.dropbox.com/s/kmnl1ylkvcbsndc/Frequency%20-%20Food%20Menu.pdf?dl=0 Table Menu: https://www.dropbox.com/s/c86j0b3mnpbzyup/Table%20Menu.pdf?dl=0

Predict Customer Credit Risk with Azure Machine Learning Studio

The Microsoft Reactor London

This is a hands-on workshop to learn Azure Machine Learning Studio - A drag and drop Machine Learning Tool. You will learn how to: 1. Pre-process and clean input data for training 2. Train classification machine learning models 3. Evaluate the performance of machine learning algorithms together 4. Deploy a machine learning model on a web service to consume later 5. Consuming the web service - Sending a request to the model and getting a prediction back on the credit application IMPORTANT NOTE: =================== Due to venue requirements, all registrations must be completed on eventbrite (It's free). Meetup RSVPs cannot be considered. https://www.eventbrite.com/e/predict-customer-credit-risk-with-azure-machine-learning-studio-tickets-76422757525 Prereq =================== * Bring your laptop This will be a hands-on class so please bring your laptop fully charged! Spaces for this class will be limited. Questions you will answer in this workshop: ===================== - How can I use Azure Machine Learning Services to train and deploy a model on the cloud? - How can Azure help me evaluate the performance of several algorithms together? Agenda: ================= 6:30pm - Registrations, Networking & Refereshments 7pm - 9pm - Code Lab 9pm - 9:30pm - Wrap up & Close Q&A: ================= 1) What will I need to bring to this workshop? Your laptop, some snacks, and a charger. You will also need a Microsoft account (Sign up here: https://studio.azureml.net/?selectAccess=true&o=1#). 2) I am an absolute beginner. Can I still come? YES! This is a beginner-friendly workshop. We will explain the concepts as we go along. You only need some familiarity with Python Programming. 3) Do I need to pay money for this workshop or Microsoft Azure? No. This workshop is free and the Microsoft Azure services we use during it are part of the free tier. Recommended Reading: ======================== Azure Machine Learning Studio https://azure.microsoft.com/en-gb/services/machine-learning-studio/ The Venue: ======================== Microsoft Reactor has been kind enough to sponsor this event. Check them out: https://developer.microsoft.com/en-us/reactor/Location/London

Eventos anteriores (7)

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