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Ruini in CodeAI

STEM Student Spotlight: Yu Cheng Li, The University of British Columbia

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Ruini in CodeAI

4 Things to Know About Machine Learning

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Jaclyn in CodeAI

Tech Tips: 5 Essential Practices for Cybersecurity and Online Safety

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Code AI Blogs in CodeAI

Clean Energy Data Exploration with Python

A data science novice’s analysis of clean technology…

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Ruini in CodeAI

How does Machine Learning work? 3 Fields that cannot do without it.

Machine learning (ML) is a type of…
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Code AI Blogs in CodeAI

Generating News Headlines with Machine Learning

Extra! Extra! Read All About It!

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Go to the profile of M2M Tech
M2M Tech in CodeAI

Data Science & Clean Tech

Clean tech defines a set of technologies that reduce, eliminate, or optimize the use of natural resources…

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M2M Tech in CodeAI

3/many Disassemble the Problem

As we saw here & here, after defining the problem/goal — our next step as a Data Analyst is to divide the problem into smaller, manageable, solvable chunks (disassemble).

Often, your problem will be vague, like this: “How do we increase Sales?”. The…

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M2M Tech in CodeAI

6/many Mental Models

As a Data Analyst, you have defined the problem, disassembled the problem, evaluated the disassembled pieces and made…

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M2M Tech in CodeAI

STEM Student Spotlight: Yousef Moussa, University of Alberta

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CodeAI
CodeAI
We harness the perception, recognition and recommendation abilities of AI and Deep Learning to tailor the learning process for every minds. We specialize in Edtech, FinTech, Technology Meetups and Creative Arts.
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