ODSC APAC Virtual Conference 2023

Machine Learning & Deep Learning Track

Learn the latest models, advancements, and trends from the top practitioners behind two of data science’s hottest topics
Register your Interest

Machine Learning & Deep Learning

The Machine Learning & Deep Learning Conference is where experts in the rapidly expanding fields of Deep Learning and Machine Learning gather to discuss the latest advances, trends, and models in this exciting field.

Attend talks, tutorials, and workshops and hear from the creators and top practitioners as they demonstrate and teach the latest developments in Machine Learning and Deep Learning that solve problems in business and society today.

What You'll Learn

Talks & Workshops on these topics:

Topics

  • Machine Learning

  • Deep Learning

  • Artificial Intelligence

  • Neural Networks

  • Natural Language Processing

  • Computer Vision

  • Pattern Recognition

Tools & Languages

  • R

  • Python SciPy, Pandas, etc

  • Scikit-learn

  • Tensorflow

  • Spark

  • MLlib

  • H20

Tools & Languages

  • WEKA

  • Pylearn2

  • Theano

  • Caffe

  • Torch

  • Azure Machine Learning API

  • and many more..

ODSC APAC Virtual Conference - August 22-23rd, 2023

Register your Interest

Some of Our Previous Machine Learning and Deep Learning Speakers

COO | Board MemberQosmo | Estyle

Akira Shibata, PhD

Akira is a renowned data scientist in Japan who led the growth of DataRobot Japan as CEO until June 2021. His background in entrepreneurship (Shiroyagi Corporation), strategy consulting (BCG), experimental particle physicist (LHC, CERN) gives him a unique edge to develop business potential of AI and data technologies. He has worked with over a hundred companies in deploying advanced analytics and digital transformation projects. His active podcast and blog can be found through the links.

MLOps for Musicians(Talk)

Chief Data ScientistJio

Dr. Shailesh Kumar

Dr. Shailesh Kumar is currently the Chief Data Scientist at the Centre of Excellence in AI/ML, Reliance Jio. Prior to this he worked as a Distinguished Scientist at Ola cabs, Chief Scientist and Co-founder of Third Leap, an EdTech startup, Researcher in the Google Brain team, Sr. Scientist at Yahoo! Labs, and Principal Scientist at Fair Isaac Research.

Dr. Kumar has 18 years of experience in building AI solutions in a variety of domains including Web, Retail, Finance, Remote Sensing, Fleet Management, Computer Vision, Knowledge Graph, and Conversational computing. He has published over 20 international papers and book chapters and holds more than 20 patents in AI/ML. He was recognized as one of the top 10 data scientists in India in 2015 by Analytics India Magazine. Dr. Kumar holds a Masters and Ph.D. in AI from UT-Austin and B.Tech. in Computer Science from IIT-Varanasi.

Towards Reasoning based Conversation Systems(Talk)

Сhief Data ScientistDeephaven Data Labs

Chip Kent

Chip Kent is the chief data scientist at Deephaven Data Labs. He holds a Ph.D. from CalTech, with decades of quantitative, mathematical, and computer science experience. Chip comes from a background in quantitative private investment, using data to make investments at Walleye Capital.

Real-time Data Science Made Easy(Talk)

Sydney Quantum Academy Fellow, a Lecturer University of Technology Sydney (UTS)

Mária Kieferová, PhD

Maria Kieferova (Marika) is a Sydney Quantum Academy fellow, a Lecturer at the University of Technology Sydney (UTS) and a member of Google Quantum AI. She has over ten years of experience working on quantum algorithms, starting from her undergraduate studies at Comenius University in Slovakia. She obtained her PhD from The Institute for Quantum Computing, University of Waterloo, and Macquarie University. Her thesis was awarded the Person medal and IQC Achievement Award. Throughout her studies, she undertook internships at Microsoft Research and Zapata Computing. At UTS, Marika is exploring the boundary between quantum and classical algorithms for machine learning. She is also affiliated with the ARC Centre of Excellence for Quantum Computation and Communication Technology and serves on the editorial board of the IOP journal Quantum Science and Technology.

Vice President of EngineeringiMerit

Sudeep George

Sudeep George is the Vice President of Engineering at iMerit, where he develops production-ready frameworks for a data-centric approach to machine learning. He has a strong background in imaging sensors, computer vision and has built and manufactured multi-sensor computational imaging platforms for several market verticals.

Annotated Data: The Bedrock of Successful AI Deployments(Talk)

Global Head of Research & Design for Human Experiences with AIMicrosoft

Bujuanes Livermore

Bujuanes Livermore is the Head of Research and Design in Data, Intelligence, and Design in Commercial Software Engineering (CSE) at Microsoft and she leads the Worldwide Community for Design & Experience. CSE is a global engineering organization that works directly with the largest companies and not-for-profits in the world to tackle their most significant technical challenges. Bringing human-centered design to the forefront and creating a more harmonious balance between the technical and the human drives her work. She is keenly interested in the influences and effects of digital and augmented environments, the human experience of service and product design, and challenging traditional business models and service offerings.

 

Responsible AI Starts with Responsible Design(Talk)

Head of Data Analytics & Digital ProductsJakarta Smart City

Juan Intan Kanggrawan

Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve the quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning a strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies, and universities.

Video Analytics & Image Processing Implementation at Jakarta Smart City’s Citizen Response Management Solution(Talk)

Senior Cloud Solution ArchitectMicrosoft

Setu Chokshi

Setu is a senior technical leader, innovator and specialist in machine learning and artificial intelligence. He has led and implements machine learning products at scale for various companies.

Microsoft’s Accelerator for MLOps(Workshop)

Staff Data ScientistDelivery Hero (Berlin)

Raghav Bali

Raghav is a seasoned Data Science professional with over a decade’s experience of research & development of large-scale solutions in Finance, Digital Experience, IT Infrastructure and Healthcare for giants such as Intel, American Express, United HealthGroup and DeliverHero. He is an innovator with 7+ patents, a published author of multiple well received books & peer-reviewed papers and a regular speaker in leading conferences on topics in the areas of Machine Learning, Deep Learning, Computer Vision, NLP, Generative Models and Augmented Reality.

Image Generation with GANs(Talk)

Senior Data Scientist | Data Science MentorDataiku | MentorCruise

Hui Xiang Chua

Hui Xiang Chua is Senior Data Scientist at Dataiku, helping enterprises with data democratization and enabling them to build their own path to AI. Dataiku is a 2x Gartner Magic Quadrant Leader for Data Science and Machine-Learning Platforms (as of 2021).

She has both public and private experiences solving problems using data, namely over six years in the public service and two years in the media industry. She was also previously an instructor with General Assembly.

In 2017, she was accepted to the Data Science for Social Good Fellowship and was mentored by Rayid Ghani, Chief Scientist of the Obama for America campaign in 2012. For bringing data science into a high school’s curriculum, Hui Xiang was a recipient of the KDD Impact Program award by SIGKDD, the Association for Computing Machinery’s special interest group on knowledge discovery and data mining. She also runs a data science blog called Data Double Confirm that was recognised as 2018/2019 Top 100 Data Science Resources on MastersInDataScience.com.

Hui Xiang holds a B.Sc.(Sons) in Statistics and M.Sc. in Business Analytics from National University of Singapore.

The Future of AI and Machine Learning(Talk)

Senior Principal Data ScientistDell Technologies

Deepak NagarajeGowda

Bio Coming Soon!

 

Using Augmented Reality, Machine Vision & Deep Learning for Solving Supply Chain Problems(Talk)

Director | InstructorVerge Labs | General Assembly

Ian Hansel

Ian Hansel is a Director of Verge Labs, a company empowering businesses through Machine Learning and Artificial Intelligence. Verge Labs bridges the gap between business and cutting-edge research applications. Ian has lead data teams in corporates and believes in taking away the complexity of machine learning to show people how to use amazing technology on their own.

Building Machine Learning Apps(Tutorial)

Lead Data ScientistIndium Software

Vaishali Balaji

Vaishali is a lead data scientist at Indium Software, a leading digital engineering company. She has 7 years of experience in predictive modeling and data analysis. She designs and develops enterprise-grade solutions based on Machine Learning, Deep Learning, and Natural Language Processing for real-world use cases. As a technology evangelist, Vaishali also coaches aspiring professionals on data science and machine learning at Simplilearn, the world’s leading training boot camp. Vaishali holds a professional postgraduate degree in Artificial Intelligence and Machine Learning. She loves cracking Machine Learning Hackathons and has been a winner in many such events.

Use of Transfer Learning in Computer Vision(Tutorial)

ProfessorUniversity of Melbourne

Dr. Jey Han Lau

Dr Lau is a lecturer in the School of Computing and Information Systems at the University of Melbourne. His research is in Natural Language Processing — a sub-field of Artificial Intelligence — where the goal is to develop computational models to understand human languages. A common theme of Dr Lau’s research is that it involves building computational models in an unsupervised or semi-supervised setting, i.e. a learning scenario where the supervision signal for model training is not available or scarce, and is characterised by a diverse flavour of applications, e.g. topic models, lexical semantics, text generation and misinformation detection. Some of his research in text generation and state-sponsored influence operations has been covered by popular science magazines (New Scientist) and mainstream news media (BBC and Guardian).

Generating Product Descriptions and Answers for Customer Queries on E-commerce Platforms(Talk)

StudentRV College of Engineering

Rohan Maheshwari

Rohan Maheshwari is a student at RV College of Engineering in Bengaluru, India with a keen interest in Deep Learning, Natural Language Processing, Graph modelling and Machine Learning as well as their applications in finance and sentiment analysis. He has worked under the Samsung PRISM program to create a code-mixed multi-intent classification system. He has also worked with SCII to create an invoice extraction system. He is actively working with the LexisNexis® Risk Solutions HPCC Systems® team and the RV College of Engineering Centre of Excellence on Cognitive Intelligent Systems for Sustainable Solutions to investigate block data stored on the blockchain to gain insight and build relationships between transactions that can shed light on potential criminal transactions . Rohan is pursuing a Bachelor of Computer Science and Engineering at RV College of Engineering.

Analyzing Blockchain Data to Detect Illicit Transactions made Using Bitcoin(Talk)


Why Attend

Immerse yourself in talks, tutorials, and workshops on Machine Learning and Deep Learning tools, topics, models, and advanced trends

Expand your network and connect with like- minded attendees to discover how Machine Learning and Deep Learning knowledge can transform not only your data models but also your business and career

Meet and connect with the core contributors and top practitioners in the expanding and exciting fields of Machine Learning and Deep Learning

Learn how the rapid rise of intelligent machines is revolutionizing how we make sense of data in the real world and impacting the domains of business, society, healthcare, finance, manufacturing, and more

Featured Sessions

  • Machine Learning with R
  • Deep Learning with Tensorflow for Absolute Beginners
  • Deep Learning for Developers
  • Small to Big Data and Deep Learning
  • Leveraging Better User Experience through Chatbots
  • Guided Generative Adversarial Neural Network
  • Deep Learning in Keras
  • Distributed Deep Learning on Hops
  • Deep Learning with MXnet
  • Recommendation System Architecture and Algorithms

Who will attend

  • Top speakers and practitioners in Machine Learning and Deep Learning

  • Data Scientists and Data Analysts

  • Decision makers

  • Software Developers focused on Machine Learning and Deep Learning

  • Data Science Innovators

  • CEOs, CTOs, CIOs

  • Industry leaders

  • Core contributors in the fields of Machine Learning and Deep Learning

  • Data Science Enthusiasts

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!


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