Practical AI: Machine Learning, Data Science, LLM

Building a data team

Jul 27, 2021

45:41

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Highlights

AI Chapters

Episode notes

Machine Learning

01:17

How to Train a Machine Learning Model

02:21

Developing a Convolutional Network or a Natural Language Processing Model

04:02

Introduction

4min

I'm a Licensed Pilot, but I Appreciate the Cangrat

2min

Ai Security Cameras Are Just Almost Everywhere These Days

3min

Building a Data Team at a Company

2min

What Is a Data Team?

3min

Is There a Ramp Up for Machine Learning?

2min

The Brave Team Has the Recipe for Bringing It to Us

4min

Do You Hire in to Reflect the Whole Workflow?

2min

How to Train a Machine Learning Model

2min

10.

Building a Data Team - What Are Some of the Things That Motivate Them?

2min

11.

Data Science

4min

12.

Building a Data Team

2min

13.

Machine Learning

1min

14.

Developing a Convolutional Network or a Natural Language Processing Model

4min

15.

The Value of Lightweight Prototyping

2min

16.

Data Management

2min

17.

Data Culture and Human Management

3min

18.

Change Log Podcast - Ship It

2min

Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

“Building a data team at a mid-stage startup: a short story” by Erik Bernhardsson

Books

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Practical AI: Machine Learning, Data Science, LLM

Building a data team

Machine Learning

How to Train a Machine Learning Model

Developing a Convolutional Network or a Natural Language Processing Model

Books

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Discoverhighlights

Save anymoment

Share& Export

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