The ultimate list of the top Artificial Intelligence (AI) & Machine Learning conferences to attend in 2023. Includes unique discount codes and submission deadlines.

List of AI and Machine Learning conferences in 2023

Level-up your pricing strategy

An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.

How Machine Learning is reshaping Price Optimization

There are so many amazing Python libraries out there that it's hard to keep track of all of them. That's why we share with you our hand-picked selection of some top libraries.

Top Python libraries of 2021 you should know about

Top Python libraries of 2021

Learn how to optimize your pandas code for large datasets with these top five tips. From vectorizing operations to embracing NumPy, our expert advice will help you get the most out of your pandas workflow.

Top 5 tips to make your pandas code absurdly fast

Unlock the power of Large Language Models (LLMs) in this step-by-step guide to fine-tuning for specific tasks. From building a custom dataset to optimizing inference time, we'll walk you through the process of fine-tuning LLMs like GPT-3, OPT, and T5 for NLP tasks.

Fine-tuned LLMs and Distributed Training to elevate your Conversational AI game

There are so many amazing Python libraries and tools out every year that it's hard to keep track of them all. That's why we share with you our hand-picked selection of our best picks.

Top Python libraries of 2022 you should know about

Top Python libraries of 2022

Learn how to optimize your Transformer-based model for faster inference in this comprehensive guide that covers techniques for reducing the size and time required for execution.

A guide to optimizing Transformer-based models for faster inference

Easy guide to generate your own images with Dreambooth. Learn how to fine-tune Stable Diffusion.

The guide to fine-tuning Stable Diffusion with your own images

Interested in video analytics applications?

In this blog post, we go over a practical example of AI-based video analytics to compute soccer ball possession metrics automatically from a video feed. We explain how the solution is built from the ground, and release the source code in GitHub.

Automatically measuring soccer ball possession with AI and video analytics

Expand your Machine Learning career with our object detection and tracking guide. A hands-on tutorial to complete our baseline Machine Learning knowledge.

Object detection & tracking step by step guide: a hands-on exercise

Let’s dig deeper into the specifics of Machine Learning. What really is Machine Learning? What kind of problems can it solve? Master these concepts and kickstart your journey with our battle tested resources. And remember: it’s all trial and error. Dig in!

Machine Learning 101: Build, Train, Test, Rinse & Repeat

Norfair is a customizable lightweight Python library for real-time multi-object tracking built by Tryolabs. Norfair 2.0 includes support for n-dimensional tracking and estimation of camera motion to improve tracking under challenging scenarios with occlusion.

Announcing Norfair 2.0: an open-source real-time multi-object tracking library

Do you have a robotics project in mind?

ROS is a free and open-source framework for complex robot applications. Here we explain its main concepts and a project sample that will help you build robot applications faster.

ROS: the framework to accelerate your next robotics project

A road map to a rockstar career. We crafted a guide to share our insights on how to start your career path in Machine Learning

Assembling your Data Science tool belt: a road to Machine Learning

Take a peek at how diffusion works for generating images. We explain exactly where are the differences between DALL·E, DALL·E 2, Imagen and Stable Diffusion.

From DALL·E to Stable Diffusion: how do text-to-image generation models work?

Our introduction to Discrete Choice Models: a strategy combined with AI to optimize product assortment.

Our AI & Machine Learning knowledge base

A blog dedicated to state-of-the-art technology, experiences, and random thoughts.

Top 5 tips to make your pandas code absurdly fast

Fine-tuned LLMs and Distributed Training to elevate your Conversational AI game

Top Python libraries of 2022

A guide to optimizing Transformer-based models for faster inference

The guide to fine-tuning Stable Diffusion with your own images

Automatically measuring soccer ball possession with AI and video analytics

Object detection & tracking step by step guide: a hands-on exercise

Machine Learning 101: Build, Train, Test, Rinse & Repeat

Announcing Norfair 2.0: an open-source real-time multi-object tracking library

ROS: the framework to accelerate your next robotics project

Assembling your Data Science tool belt: a road to Machine Learning

From DALL·E to Stable Diffusion: how do text-to-image generation models work?

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