learn to code

Python Quantum Computing

Grover’s Quantum Search for Data Science and Why should we Care

Tigran Sedrakyan on Grover’s Quantum Search for Data Science and Why should we Care Among the most prominent achievements of the quantum computing field is an algorithm known as Grover’s quantum search. This talk focuses on Grover’s algorithm and its applications to machine learning routines. Prior knowledge required is a basic understanding of linear algebra and […]

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Python

What Did He Learn After Reading over 100 Coding Books?

There are a lot of coding books out there, but what can they really teach us?

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Career Developer

3 Types of Projects That Will Make You a Programmer

Deciding which type of project you should add to your portfolio can be one of the hardest decisions to make. With so many options available; what should you do? In this video I lay out the 3 types of projects you’ll want to build where I explain the importance of certain types of projects and […]

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AI

A Subset-Based Strategy for Faster AutoML

Teddy Lazebnik, CTO@DataClue recently presented this talk at PyData Tel Aviv. Automated machine AutoML learning frameworks have become important tools in the data scientists’ arsenal. However, when the dataset is large, the overall AutoML running times become increasingly high. In this lecture, we present AutoML optimization strategy that tackles the data size, rather than configuration […]

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Developer

25 VS Code Productivity Tips and Speed Hacks

Learn 25 VS Code tips and tricks that will help you write code faster.

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AI

Why you Should Care about Data-Centric AI

From PyData London 2022 Marysia Winkels presents: “Models Schm-odels: Why You Should Care About Data-Centric AI” Data Centric AI is the term coined by AI pioneer Andrew Ng for the movement that argues we shift our focus towards iterating on our data instead of models to improve machine learning predictions. But isn’t this what we […]

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AI Natural Language Processing Speech and Voice

Audio Neural Networks without Ground Truth: Avoid Humans in the Loop

From the PyData London 2022 conference Orian Sharoni speaks about Audio Neural Networks without Ground Truth: How to Avoid Humans in the Loop at all Costs. Manual listening tests are great but they’re time consuming, mission specific and expensive. We all want good quality automated testing measurements to better our algorithms but can we truly get […]

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