- SML Graph Machine Learning Special edition with Neo4j
NOTE: this is an online only event. Please join via the following Zoom link: https://zoom.us/j/2332523087 ================ In partnership with Neo4j, DSAi & SML is proud to present a Special Edition event focussing on the field of Graph Machine Learning & Graph Data Bases. This meetup will feature talks from two of Sydney’s industry experts in the field, Joshua Yu & Paul Conyngham. Joshua Yu’s presentation: ================ Joshua will be presenting on the Connection Analysis for fake news and uncover the story behind Russian Twitter Trolls using Graph Machine Learning. During the 2016 U.S. election, Russian trolls infiltrated online conversations. NBC News sought to investigate and encountered two challenges: recovering deleted tweets and analysing the data to detect patterns. Reporters used Neo4j to scrutinize hundreds of thousands of tweets and expose tactics of Russian troll networks. So, what can social media platforms and governments do to monitor and prevent future abuse? First, it’s a matter of connections. In today’s hyper-connected world, it’s difficult to identify relationships in a dataset if you’re not using a technology purpose-built for storing connected data. It’s even more difficult if you’re not looking for connections in the first place. Second, once you’re storing and looking for connections within your datasets, it’s essential to detect and understand the patterns of behaviour reflected by those connections. In this case, a simple graph algorithm (PageRank) was able to illustrate that most of the Russian troll accounts behaved like single-minded bees with a focused job – and not like normal humans. Using a connections-first approach to analysing these sorts of datasets, both governments and social media platforms can more proactively detect and deter this sort of meddling behaviour before it has a chance to derail democracy or poison civil conversation. Paul Conyngham’s presentation: ================ In this presentation, Paul Conyngham will present an Applied Machine Learning use case of Graph Machine Learning in his show case of “Identité” - a zero touch digital identity management & query system powered by Neo4j. We will walk through an example, where by Identité will be used in real time to create a digital profile to show how the power of Graph Machine learning & Graph Databases allows for auto discovery & assistance for similar firms looking to query unstructured data such as pdf, word files, emails, txt & even images to help build a defence case for a law firm.
- HoAi Podcast: Emre Kiciman & Amit Sharma - Causal Inference & Microsoft's DoWhy
What is Causal Inference? Find out in this edition of the Humans of Ai Podcast👇: Emre Kiciman is the Senior Principal Researcher at Microsoft Research Ai in the Information and Data Sciences group, and Amit Sharma is a Senior Researcher at Microsoft Research India. In this episode of the Humans of Ai, we discuss how Emre and Amit started in the field of Science and Technology and then dive into how they got started in Causal Science. We further explore the concepts around Causal Inference, such as Causal Graphs and Confounding Variables. We then discuss Amit & Emre's new software library, “DoWhy – A Library for Causal Inference,” the motivation behind its creation and its significance. Towards the end of the episode, we talk about the advantages/disadvantages of Causal Inference and the ethical usage of bringing such sophisticated tools into Machine Learning. Podcast available via the links below: on iTunes here: https://lnkd.in/eByX-Dw On Spotify here: https://lnkd.in/enCBeXU On Sticher here: https://lnkd.in/gt4mves
- SML: Sagemaker Workshop Special Edition via Zoom & Twitch
NOTE: this is an online only event. Please join via the following Zoom link: https://zoom.us/j/95992882299 __________________________________________________________ Description: This online workshop details the process one must undergo to build, train and deploy your models on Amazon SageMaker. We dive deep into the underlying APIs and demonstrate the code changes required to move your code from notebook to production. We also detail how niche SageMaker functionality can help you train your models faster, analyse and debug bad models, and proactively monitor their performance in production. Finally, we detail some cost optimisation tips for SageMaker, in addition to designing a simple automated pipeline for training and deploying your models. You can expect to learn: -How to orchestrate machine learning with Amazon SageMaker; -How to automate machine learning pipelines on AWS; -How SageMaker specific APIs for HPO, debugging, monitoring, etc can benefit you About the speaker- Angus Barnes: Angus is a Solutions Architect from Amazon Web Services that specialises in Machine Learning. He has a background in Mathematics and Software Engineering, and has held roles across a diverse set of fields, including; Web Development, DevOps, Cloud Architecture and Data Science. He has a keen interest in helping customers cost optimise, secure and orchestrate their ML workloads on AWS.
- The Humans of Ai Podcast: Damian Brady - The emerging field of MLops
What is MLOps? Find out in this edition of the Humans of Ai Podcast👇 MLOps is the application of the best practises from DevOps - that is the tools & techniques that are required to take software & put it into production - and applying these same principles to the field of Data Science to formalise the process of training a machine learning model all the way through to putting the model into production. In this edition of the Humans of Ai, we interview Damian Brady - Senior Cloud DevOps Advocate at Microsoft & discuss how he got started in the field of Computer Science, then deep dive into Damian's field of expertise - MLops. Finally, we finish up the episode with what it is like to talk at a super conference - Microsoft Ignite. Podcast available via the links below: on iTunes here: https://lnkd.in/eByX-Dw On Spotify here: https://lnkd.in/enCBeXU On Sticher here: https://lnkd.in/gt4mves https://lnkd.in/gJ_ZkBG
- DSAi: Causal Inference Special Edition via Teams & Twitch
NOTE: this is an online only event. Link to join & participate below: Teams Link: https://aka.ms/CasualInferenceSpecialEdition ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In partnership with the Microsoft Reactor, DSAi is proud to present a Special Edition event focussing on the up and coming Data Science field of Causal Inference. Most presentations on "Artificial Intelligence" focus on the "Artificial" and forget the "Intelligence". We aim to rectify the imbalance by exploring the true nature of Intelligence, whether human or machine, as it is applied (or mis-applied) to the most serious strategic challenges of our day. In so doing we will define the gold standard for intelligent reasoning, against which any prognostication (whether by heads of state, well meaning friends, or your boss) can and should be measured. Having clearly painted the target, we will then introduce a new scientific paradigm, known as Causal Science, which excels in performance against this chosen benchmark. The presentation will be divided into two parts. In the first, aiming at a general audience, we explain why the world sorely needs a new scientific paradigm, a new science of intelligence. In the second, aiming at the data science community, we will get into some of the guts of how the paradigm of Causal Science functions at a conceptual and computational level, to deliver automated intelligent reasoning. If possible, please read up on Causal Science ahead of the session, to take full advantage of the opportunity to discuss and debate the ideas presented with our speaker, James Ward, a leading thinker in the field, who has applied causal science reasoning liberally across a broad range of fields - from business strategy at Tier One consulting firms, to government policy analysis for leading global think tanks, and to everything in between. An excellent talk to fundamental Causal Inference theory is provided below: https://www.youtube.com/watch?v=ZaPV1OSEpHw We look forward very much to seeing you. About the Speaker: James Ward Expert in the commercial application of artificial intelligence, consulting to global and domestic hedge funds, asset managers and advanced technology businesses, with the aim of constructing superior corporate strategy by narrowing uncertainties and identifying evidence-based commercial opportunities. Advisor to executive decision makers developing optimal strategies for using Artificial Intelligence in financial services, health care, government policy making and industry 4.0 - with a view to seizing near and long term commercial and social advantages. Keynote speaker for many domestic and international conference audiences, including leading global strategic think-tanks such as CSIS and PECC (video available). Advice on future endeavours is based on our in-house application SKAI (Scientific Knowledge through Artificial Intelligence) which uses causal science to model the unfolding future state of consumer demand, populations, commodity prices, and more. Intellectual property from SKAI has been licensed by one of the world's largest supercomputer manufacturers.
- The Humans of Ai Podcast: Seth Juarez - What it takes: Ai Advocacy at Microsoft
Is Ai advocacy for you? Find out what it takes to be an advocate for Artificial Intelligence at Microsoft in the latest HoAi podcast episode featuring none other that the illustrious Seth Juarez! Seth Juarez is a Principal Cloud Developer Advocate at Microsoft focussing on Artificial Intelligence, Machine Learning & Quantum Computing. In this episode we focus on Seth’s history and how he got involved in Ai, what it takes to be a Developer Advocate & how Seth is helping developers be successful with Ai in the cloud at Microsoft. Podcast available via the links below:on iTunes here: https://lnkd.in/eByX-Dw On Spotify here: https://lnkd.in/enCBeXU On Sticher here: https://lnkd.in/gt4mves
- Inviting the next generation of DSAi organisers and volunteers
Are you interested in organising events or volunteering for the next generation of DSAi? We have many initiatives lined up for the rest of 2020, including workshops & interesting talks from top in their field speakers. We are inviting all those with an interest in helping with events to a roundtable meeting. No worries if you don't have experience or technical expertise; we are just as happy with helpful suggestions and the passion to contribute :) See you there!
- DSAi Study: Bayesian Methods for Hackers Statistics Study Group
Please enrol in this study group by completing the Google Form below. We will notify you by email if you are accepted to take part in the group. https://forms.gle/Bwe54tqukq2YrDcr8 ________ Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Join us every Thursday 6 PM to 8 PM starting on the 5th of March for a 6 week course that DSAi has organised for anyone looking for entry into the wonderful world of Bayesian Statistics. This is a rare opportunity to learn from industry experts and build a network within the community, an absolute essential for any aspiring data scientist. It is also absolutely free. Learning in a classroom like environment with peers and great instructors is always more engaging than learning from online resources. Paul, the data scientist running this study group is a veteran with almost a decade of industry experience. There would be other experts as well including Ben Jelliffe ( senior data scientist) and Maryam Montazerolghaem (Data Science Researcher at the University of Sydney), available during the session to help you out and answer all your stats and Python questions. We highly recommend you purchase a physical copy of the book. A digital copy, with all exercise resources can be found at Cameron Davidson-Pilon's site: https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ If you intend to attend the study group - please complete the first weeks exercises, available at the end of the page here: https://nbviewer.jupyter.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Ch1_Introduction_PyMC3.ipynb ~ DSAi is a Non-for profit association determined to connect the data scientist and machine learning community of Australia.
- Global breakthrough in Computer Vision (DSAi x Antler x Xailient)
Our event in February partners with Antler. Antler will bring their portfolio company Xailient to talk about their global breakthrough in computer vision. Xailient was born in Antler first program and is currently raising their seed round following Antler's initial investment. You will also hear from current Antler cohort member Alex Long on how he is utilizing his PhD in Reinforcement Learning to create a company. Location: Antler, level 7, 11 York Street ~ Xailient is building the next app store economy: IoT camera apps. Xailent built the world’s smallest, fastest and most accurate AI that sees just like humans thanks to a neuroscience breakthrough by one of the co-founders' PhD research. This allows you to build cool and amazing apps that can fit on the camera itself. The best part is the integration of AI and how it will improve over time. Applications range from security and surveillance, retail analytics and smart cities to drones and driverless cars. What will you build? https://www.xailient.com/ Shivy holds a first class honours in Electrical and Electronic Engineering from the University of Melbourne and a PhD in Artificial Intelligence from RMIT. From there he joined the Bionics Institute and was part of the team that created the world’s first bionic eye. This was his desire to enable AI through computer vision to see as our eyes can. Then he became a Researcher with IBM but wanting to build for himself has led him to Antler and he co-founded Xailient which he is currently the CTO. ~ Alex is currently in the process of commercialising his PhD research through the Antler program. Alex will talk briefly about his thesis topic - Reinforcement Learning, and the potential real world applications. Additionally, he will discuss the road that led him to join Antler, how other students can do the same, and provide general advice around IP produced in research institutions and how to manage this from a researchers perspective.