Practical AI: Machine Learning, Data Science, LLM

Low code, no code, accelerated code, & failing code

Feb 23, 2021

48:20

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Highlights

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Episode notes

The Brave Team Has the Recipe for Bringing It to Us

04:15

Data Leakage in a Shared Task Data Set

02:23

Is It Enough or Too Much?

02:27

Introduction

3min

We're Surviving the Last Bits

2min

What Emerging Technologies Are on Your Mind as of Late?

3min

Cat Skin

2min

Deep Learning Model Employments Have Become Almost Commonplace

3min

Is It Enough or Too Much?

2min

The Brave Team Has the Recipe for Bringing It to Us

4min

I've Run Into That Problem Too, Is It Just Sloppiness?

2min

Data Science and Deep Learning Engineers Should Embrace Containers

2min

10.

Data Leakage in a Shared Task Data Set

2min

11.

Accel - Machine Learning Without Code

5min

12.

Deep Learning

2min

13.

What Kind of Machine Do You Need for Multi Gpu Jobs?

5min

14.

Is It Possible to Get More Cards That Are Not Connected With Envy Link?

2min

15.

Getting a Server With a Lot of Cards That Aren't in Velank, Right?

3min

16.

The Deep Learning Course That's on Line Now

4min

17.

Are We Going Back to Our Old Habits?

3min

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!

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