Data Conference Databasea Query.Farm index
Speakers

Pranjal Biyani

Employers on the program

  1. 2022–2024Polymerize3 talks
Events4
Conferences2
Talks4
Years active2022–2024
Miles between events1,1964 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • EuroPython
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Jul 8, 2024EuroPython 2024EuroPythontalkUnlocking Mixture of Experts : From 1 Know-it-all to group of Jedi Masters
as Polymerize
Answer this : In critical domains like Healthcare would you prefer a Jack-of-all-trades OR one Yoda, the master? Join me on an exhilarating journey as we delve…Show less

Answer this : In critical domains like Healthcare would you prefer a Jack-of-all-trades OR one Yoda, the master? Join me on an exhilarating journey as we delve deep into the Mixture of Experts (MoE) technique which is a practical and intuitive next-step to elevate predictive powers of...

Video
Jul 17, 2023EuroPython 2023EuroPythontalkSolving Multi-Objective Constrained Optimisation Problems using Pymoo
as Polymerize
Pymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface…Show less

Pymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface to solve constrained Single/Multi-Objective optimisation problems with a catalog of algorithms, customisations and post-optimisation...

Video
Jul 11, 2022EuroPython 2022EuroPythontalkSynergize AI and Domain Expertise - Explainability Check with Python
as Polymerize, Singapore
The talk focuses on establishing guidelines for Explainable AI by diving into fundamental concepts and checkpoints, before accepting AI models to make…Show less

The talk focuses on establishing guidelines for Explainable AI by diving into fundamental concepts and checkpoints, before accepting AI models to make decisions.

Video
Jun 17, 2022PyData London 2022PyDatatutorialHow to Stack Neural Networks together ? Ideas and Applications
Exploring the process, implementation, practical applications, and advantages of stacking neural networks together. The tutorial focuses on building tunable,…Show less

Exploring the process, implementation, practical applications, and advantages of stacking neural networks together. The tutorial focuses on building tunable, high-performance, multi-data-type feature models seamlessly using network concatenations in TensorFlow.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Cheuk Ting Ho4—2024
Jeremiah Paige3—2024
Jimmy Lai3—2024
Kairo de Araujo3—2024
Łukasz Langa3—2024
Marc-André Lemburg3—2024
Nicholas Tollervey3—2024
Pablo Galindo Salgado3—2024
Paolo Melchiorre3—2024
Radoslav Georgiev3—2024
Reuven M. Lerner3—2024
Roberto Polli3—2024
Valerio Maggio3—2024
Vinícius Gubiani Ferreira3—2024
Adrin Jalali3—2023

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.