Pratik Parmar
A Data Scientist who caught the travel bug.
Vadodara, India
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A dynamic Data Scientist with expertise in Machine Learning, Pratik is a master of Backend Engineering. With a ton of experience in Python, SQL, he has mastered several Frameworks with Analysis of complex problems and architectures. He is an enthusiastic trainer who loves to explain concepts and answer questions. He recently got invited to speak at Mozilla Festival-London, DevConf Zambia, DevFest Mumbai.
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How to handle the "Training Model" Hangover
We are using ML when we need external data to reach a working product because it would be impossible to solve it with the regular for/if/loops. What are the next steps? Moreover, what about Test, Release, and Deployment?
Our Organizations may be “data-driven”, but now the impact we seize is bigger than we can imagine. No Link Found If you are using an ML component, misused/dirty/problematic data will affect not your internal reports as before… but your application deployment and quality of service.
Let’s discuss some AI implementations stories (its advantages/problems) finding common mistakes and future challenges for such a hyped theme.
The Invisibilty Cloak
The goal of this session is to demystify machine learning for attendees and show them how a machine learning system(AI surveillance systems) works under the hood. One more outcome of this session is to show that machine learning is just a technology and it’s not foolproof. In fact, many deep learning models are vulnerable to the adversarial attack, i.e., imperceptible but intentionally-designed perturbations to the input can cause the incorrect output of the models.
Hence, how you can use it to make yourself invisible to such AI surveillance systems. Here’s the demo video from the original paper: https://youtu.be/MIbFvK2S9g8
This session aims to be highly engaging, collaborative and can be adjusted to suit the attendee’s knowledge of AI and programming.
NLP on Steroids
Adoption of messaging communication and voice assistants has proliferated in the last years. It creates a demand for tools that speed up prototyping of feature-rich dialogue systems, but most voice and chat systems in production are still implemented using a state machine and a set of rules.
An open-source library DeepPavlov is tailored for the development of production-ready chatbots and complex conversational systems, NLP and dialogue systems.
In this session, we will explore how to develop chatbots with DeepPavlov and why TensorFlow is an indispensable tool in doing so. Using DeepPavlov, we'll assemble Sequence-to-sequence chit-chat skill, question answering skill or task-oriented skill.
Eradicating ML Anxiety with Flutter
People always hear others talking about machine learning but only have a fuzzy idea of what that means. Often they find it difficult to implement machine learning models.
Don't worry, ML Kit got you covered. ML Kit makes it easy to apply ML techniques in your apps by bringing Google's ML technologies, such as the Google Cloud Vision API, TensorFlow Lite, and the Android Neural Networks API together in a single SDK. The ML Kit SDK provides the powerful pre-trained machine learning models in easy to use packages.
But where should I use the packages? Here comes Flutter to rescue. What can be better SDK to integrate the ML Kit, than Flutter? Flutter provides any easy integration of ML Kit which can run on both Android & iOS.
The session will include the basics of Machine Learning, & getting started with ML Kit in Flutter.
Agenda
00 mins - 10 mins: Introduction of Speakers & Machine Learning
10 mins - 15 mins: Introduction to ML Kit
25 mins - 35 mins: Writing boilerplate code for App UI and set up Firebase configuration
35 mins - 40 mins: Exploring different ML Kit APIs
40 mins - 70 mins: Implement Face Detection and Image Labeling APIs
70 mins - 80 mins: Do more with Custom Model: Exploring possibilities with Tensorflow lite
80 mins - 90 mins: Q/A session
Rust is simply AWESOME!
An introduction to what Rust is, what makes it unique, and why it's not just a toy language but solving some real problems and will become an essential tool of every technology stack.
Rust is a system programming language that is blazingly fast and offers powerful high-level abstractions better known from dynamic languages like Ruby or Python. Rust offers memory safety without a Garbage Collector and makes low-level programming more accessible and more secure. Let's dive into Rust and what makes it awesome!
How to wish someone Happy Birthday using Augmented Reality?
A-Frame is a declarative WebVR framework for web developers. With A-Frame, anyone who can write HTML can create a virtual reality app, and anyone who knows JavaScript can animate the scene. We'll introduce the game-changing concepts of A-Frame, showcase how I used A-Frame to wish birthday, in just 15 minutes.
Devfest Mumbai 2019 Sessionize Event
DevFest Rajkot
Conducted a codelab on "Machine Learning for Humans", which covers what is Machine Learning and how to use it for real-life usecases.
Attendees experience:
https://www.facebook.com/GDGRajkot/videos/969650979889527/
https://www.facebook.com/GDGRajkot/videos/572825109804221/
Pratik Parmar
A Data Scientist who caught the travel bug.
Vadodara, India
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