Karthik

AI data operations…

[Richard Dawkins @RichardDawkins]

"Islamophobia" is a deeply silly and pernicious abuse of language. The full episode is here: https://t.co/9e1vgj4gnq. #religion #islam #ThePoetryOfReality

[Karthik @karthu]

@Prathkum 👋

[Dr Ola Brown @NaijaFlyingDr]

Privilege explained

[Karthik @karthu]

@bfitforreal @DownloaderBot

[Karthik @karthu]

@CalFalconCam why Annie is not incubating the third egg? Is this normal or she has abandoned the egg?

[Saul Goodman ⚖ @itsSaulGoodman]

Everyone should carry a Saul Goodman business card. Retweet. I'll send a few to some lucky followers.

[Karthik @karthu]

@Fact There was no India before the British invasion.

[Karthik @karthu]

This is where data scientists need to make a conscious effort to equalise and represent all people similar to a real-world outcome.

#machinelearning #ai #datascience #databias #artificialintelligence #selectionbias

[Karthik @karthu]

Machine learning joke of the day.

#datacleaning #machinelearning #ai #datascince #traindata

[Karthik @karthu]

Machine learning joke of the day.

#machinelearning #datascience #joke #traindata

[Karthik @karthu]

Wordle 207 3/6

⬜🟨🟨⬜⬜
⬜⬜🟨🟩⬜
🟩🟩🟩🟩🟩

[Karthik @karthu]

Traindata Insights: How to choose a data labeling tool?

Or should you build a tool yourself?

Read our analysis to learn more: https://t.co/WH6HHNVv5b

#traindata #datalabeling #labeling #annotation #machinelearning #artificialintelligence

[Karthik @karthu]

Traindata Insights: How to choose a data labeling tool?

Begin by clearly defining your use case.

Read our analysis to learn more: https://t.co/WH6HHNVv5b

#traindata #datalabeling #labeling #annotation #machinelearning #artificialintelligence

[Karthik @karthu]

2022 Machine Learning Trends: Here are five trends to help you manage, optimise and extract the best results from your ML projects.

Read our analysis: https://t.co/WnB4T7NIvI

#machinelearning #trends #datalabeling #traindata #2022

[Karthik @karthu]

2022 Machine Learning Trends: Trend no. 5 = Tiny ML.

What is Tiny ML and what are the four other trends?

Read our analysis: https://t.co/WnB4T7NIvI

#machinelearning #trends #datalabeling #traindata #2022

[Karthik @karthu]

2022 Machine Learning Trends: Trend no. 4 = MLOps.

What is MLOps and what are the four other trends?

Read our analysis: https://t.co/WnB4T7NIvI

#machinelearning #trends #datalabeling #traindata #2022

[Karthik @karthu]

2022 Machine Learning Trends: Trend no. 2 = General Adversarial Networks.

What are GANs?

Read our analysis: https://t.co/WnB4T7NIvI

#machinelearning #trends #datalabeling #traindata #2022

[Karthik @karthu]

2022 Machine Learning Trends: Trend no. 1 = Auto ML.

Swipe through the cards below to learn more.

Or read our analysis on the TOP FIVE MACHINE LEARNING TRENDS FOR 2022!

https://t.co/WnB4T7NIvI

#machinelearning #trends #datalabeling #traindata #2022

[Karthik @karthu]

7️⃣ Flexible and transparent pricing
8️⃣ Workforce training and stability

Or read our complete analysis https://t.co/NS7mLfkxo9

[Karthik @karthu]

Here’s a checklist of eight steps you should follow to hire the best data labeling partner:

1️⃣ Define your goals
2️⃣ Evaluate multiple vendors
3️⃣ Request a proof-of-concept
4️⃣ Establish communication standards
5️⃣ Iterate and scale
6️⃣ Consider fluctuating data labeling demand

[Karthik @karthu]

HIRING YOUR DATA LABELING PARTNER: Hiring the best partner to get your data labeled at the right quality, time, and speed is a tough ask.

#machinelearning #datalabeling #artificialintelligence #annotation