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top data Science trends in 2023

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Top Data Science Trends in 2023, like Tiny ML and Small Data, Convergence, and more – PowerPoint PPT presentation

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Title: top data Science trends in 2023


1
Top Data Science Trends in 2023
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and-artificial-intelligence-course/
2
Table Of Content
  1. Tiny ML and Small Data
  2. Data-Driven Consumer Experience
  3. Convergence
  4. Auto ML
  5. AI and Databases Based on Cloud

https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
3
Tiny ML and Small Data
Big Data refers to the rapidly growing digital
data we generate, gather, and evaluate. It's not
simply massive data the Machine understanding
algorithms we employ to process the data are
also extremely large. It is the biggest and most
complicated system capable of imitating natural
language, with over 185 billion variables. It is
one of the latest features in data science.
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and-artificial-intelligence-course/
4
Data-Driven Consumer Experience
It represents one of the most recent
developments in data science. Businesses are
supposed to use the data to offer experiences
that are more useful, interesting, or
pleasurable. For example, when contacting
customer support, the computer might be more
transferable between divisions, better
user-friendly, and reduce drag and difficulty in
ecommerce.
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and-artificial-intelligence-course/
5
Convergence
The foundation of today's digital environment is
artificial intelligence, cloud computing, IOT,
and ultrafast networks like 5G, and data is the
fuel that powers them all. Those techniques
represent a few of the newest developments in
data science. These techniques are much more
powerful when used together than when used
alone. https//1stepgrow.com/course/advance-data-
science-and-artificial-intelligence-course/
6
Auto ML
One of the most recent trends in data science is
it. Along with democratizing data science, the
trend of Auto ML is also democratizing machine
learning. Anybody can build ML-based
applications using the platforms and resources
created by the creators of autoML solutions. The
training addresses the much more pressing issues
in particular areas of expertise. https//1stepg
row.com/course/advance-data-science-and-artificial
-intelligence-course/
7
AI and Databases Based on Cloud
To acquire, classify, clean, arrange, format, and
analyze this massive amount of data in one
location is a difficult undertaking. Platforms
that operate in the cloud are gaining popularity
as a remedy for this issue. A cloud technology
database will revolutionize the future data
science and AI fields. Cloud technology allows
companies to manage their duties more
effectively and efficiently while protecting
their data. https//1stepgrow.com/course/advance
-data-science-and-artificial-intelligence-course/
8
THANK YOU!
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