This is an exclusive, invite-only roundtable hands-on workshop. If you wish to receive an invitation request, please nominate yourself to be a part of this workshop here : https://goo.gl/forms/
Artificial Intelligence is widely being promoted as the new engine for growth lately and there is also a lot of hype and uncertainty around it. Yet, the phenomenal growth of companies such as Google, Amazon, Tesla, Netflix and lot more is clear evidence that data-driven companies who know how to monetize the value of data can dramatically accelerate their growth. Rapid growth is key in this mindset!
In this workshop Tarry will take you into a hands-on interactive mode to help you align vision, identify potential MVP (minimum viable projects) Artificial Intelligence projects. He will guide you through how to move from a “digital vision in silos” to a “aligned and unified strategy” and industrializing successful pilots to scale. He will then guide you into how you achieve that within hours, days and weeks based on deepkapha.ai’s HDW Data Model** . This is based on his proven track record in helping CEOs/Chairman, CFO, CIO, CDO and CMO of global companies (revenues ranging from $15Bn – 120Bn) as both an entrepreneur and management advisor to corporate enterprises during his 20+ years of experience.
Check out out the details about the workshop : Business Executive to AI leader – A CXO’s invite-only roundtable hands-on workshop
Tarry has over 17 years of experience working with data and has advised CxOs of global organizations to setup data-driven organizations from scratch. He speaks regularly at global AI leadership summits worldwide and conducts workshops on a regular basis with his TAs who are currently PhDs in various disciplines such as NLP, Computer Vision, Robotics disciplines. He also participates in co-supervising Deep Learning PhD projects related to above areas with world’s leading universities in Germany, US and China. Tarry is Adj. Professor/ Guest Lecturer to UTD Dallas, University of Chicago, Copenhagen University, Charité Berlin, University of. Catalunya, Barcelona. Tarry is a seasoned entrepreneur currently also co-founder of two other AI startups focusing on enterprise data management in the new “Dataset Economy” ellie.fi as well as a stealth “NewCo”, a Kaggle4Healthcare kind startup that will focus on bringing deep learning to healthcare rapidly.
This is an exclusive, invite-only roundtable hands-on workshop. If you wish to receive an invitation request, please nominate yourself to be a part of this workshop here : https://goo.gl/forms/GHrKULagHgVcXZUA2
ML in broader sense is an optimization problem. In this workshop, you will learn about the fundamentals of Machine Learning and with this sound basics, you will step into the understanding of Machine Learning as an optimization problem. You will be introduced to various algorithmns and hyper parameters associated with it. You will get a hands-on experience of creating a ML model, parameter optimization, and exposing the model as an API endpoint.
We will have credit history based loan defaulter prediction as a reference dataset.
The details and prerequisites of the workshop are present given here: Create & Optimize A Predictive Machine Learning Model by IBM
Krishna Chaitanya is a Watson and Cloud Engineer at IBM. He is a part of Digital Business Group: determined to smoothen the journey for Developers and their startups with IBM’s visionary tech. In the past, he worked mainly with the start-up community. He undertook the roles of an IOT consultant, Computer Vision expert, Cloud Advocate, IOT trainer, Design Automation rookie and quite a few freelance consultancy roles as well, developing a good amount of street cred while doing so. Currently he’s working on creating novel PoCs demonstrating the cognitive capabilities of IBM Watson and its ability to transform the way businesses operate forever
Have you ever wondered how to apply machine learning to business problems? This workshop is specially designed to help learn the concepts, tools and techniques involved. You will go through real-life case studies and experience how this is done in the industry. The focus of this workshop will be on the machine learning pipeline data cleaning, feature engineering, model building and evaluation. You will also learn how to structure a business problem as an ML problem, and then go on to build, select and evaluate the model.
Check out the structure of the workshop here : Applied Machine Learning
Amit Kapoor teaches the craft of telling visual stories with data. He conducts workshops and trainings on Data Science in Python and R, as well as on Data Visualisation topics.His background is in strategy consulting having worked with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad.
Interacting with artificial intelligent systems seems a bit simulated at times. This is because the way we converse as humans to one another is completely different from that we do usually with AI systems.Thankfully, research has been rampant in the area to bridge the gap in conversational AI systems. In this 8-hour workshop, you will get to know about natural language processing, creating word embeddings and developing learners to perform NLP tasks like sentiment analysis, auto correction and much more.
Here is the detailed structure of the workshop : Getting started with Natural Language Processing
Dipanjan (DJ) Sarkar is a Data Scientist, a published author and a consultant and trainer. He has consulted and worked with several startups as well as Fortune 500 companies like Intel. He primarily works on leveraging data science, advanced analytics, machine learning and deep learning to build large- scale intelligent systems. He holds a master of technology degree with specializations in Data Science and Software Engineering. He is also an avid supporter of self-learning and massive open online courses. He plans to venture soon into the world of open-source products to improve the productivity of developers across the world.
Dipanjan has been an analytics practitioner for several years now, specializing in machine learning, natural language processing, statistical methods and deep learning. Having a passion for data science and education, he also acts as an AI Consultant and Mentor at various organizations like Springboard, where he helps people build their skills on areas like Data Science and Machine Learning. He also acts as a key contributor and editor for Towards Data Science, a leading online journal focusing on Artificial Intelligence and Data Science. Dipanjan has also authored several books on R, Python, Machine Learning, Social Media Analytics, Natural Language Processing Deep Learning.
Raghav Bali is a Data Scientist at one the world’s largest healthcare organizations. His work involves research development of enterprise level solutions based on Machine Learning, Deep Learning and Natural Language Processing for Healthcare Insurance related use cases. In his previous role at Intel, he was involved in enabling proactive data driven initiatives using Natural Language Processing, Deep Learning and traditional statistical methods. He has also worked in the financial domain with American Express, solving digital engagement and customer retention use cases. Raghav has also authored multiple books with leading publishers, the recent one on latest in advancements in Transfer Learning research. Raghav has a master’s degree (gold medalist) in Information Technology from International Institute of Information Technology, Bangalore. Raghav loves reading and is a shutterbug capturing moments when he isn’t busy solving problems.
Do you want to jump into the Deep Learning bandwagon? Are you still stuck on grasping how backpropagation works? Then this workshop is for you! The goal of this workshop is to get you up to speed with the advancements in Deep Learning with a practical perspective. Along with this, you will also get to know about keras, a tool which has been getting heavy attention from the community as it provide simple higher level interface to build Deep Learning models. In this workshop, our objective is to make you comfortable to build image and text classification deep learning models using keras. And, you will also learn the building blocks of deep learning: MLP (Multi Layer Perceptron), CNN(Convolutional Neural Network) and RNN (Recurrent Neural Network).
Check out the structure of the workshop here : Getting started with Deep Learning
Xander is a computer-science engineer from Belgium, Europe, fascinated by Machine Learning and Artificial Intelligence and YouTube vlogger at ‘Arxiv Insights’. Through his master thesis on EEG-based brain-computer interfaces, Xander first came into contact with the vast opportunities provided by data driven computer algorithms. Working as a Machine Learning consultant for 4 years, Xander has worked on many different projects including computer vision (object tracking, optical character recognition, image classification, ..) , natural language processing (chatbots, text classification, …) and many others using open source libraries like TensorFlow and Pytorch in combination with powerful compute resources on the Google cloud platform.Recently, Xander started focussing on the interface between academic research and the real world through a PhD in Deep Reinforcement Learning focussed on applying these novel algorithms to industrial process optimization. Xander is now head of applied ML-research at Belgian AI scale-up ML6.