37:25Long-form

The Role of Deep Learning in Software Testing | Functionize

United StatesPublished March 3, 2023

Views 161K  |  Likes 232  |  Comments 4
Views#11,062,791Global
Views#2,160,004United States

Channel

FunctionizeFunctionize
2.05K subs•101 videos•Jul 2015

At a glance

Views

161,753

Likes

232

Comments

4

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $113 – $324

Based on estimated $0.7–$2 CPM.

About

Tamas Cser, Founder and CTO of Functionize Inc. at Tampa Meetup. Explore the role of deep learning in software testing through this insightful presentation by Tamas Cser, Founder and Chief Technology Officer of Functionize. In this discussion, you will gain an understanding of the importance of adopting an AI-centric…

Published
March 3, 2023
Made for kids
No

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How The Role of Deep Learning in Software Testing | Functionize is doing

It has 161K views in total. It ranks #11,062,791 among tracked YouTube videos by views.

Key facts about The Role of Deep Learning in Software Testing | Functionize

Total views
161K
Total likes
232
Total comments
4
Published
March 3, 2023
Global rank by views
#11,062,791

Frequently asked questions

How many views does The Role of Deep Learning in Software Testing | Functionize have?

The Role of Deep Learning in Software Testing | Functionize has 161,753 views, 232 likes and 4 comments, ranking #11,062,791 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

Is this YouTube video analytics checker free?

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