Introduction to Machine Learning for Data Science

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

4.58 (15650 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.

The Impacts Machine Learning and Data Science is having on society.

To really understand computer technology has changed the world, with an appreciation of scale.

To know what problems Machine Learning can solve, and how the Machine Learning Process works.

How to avoid problems with Machine Learning, to successfully implement it without losing your mind!

Course Gallery

Introduction to Machine Learning for Data Science – Screenshot 1 — Screenshot 1 – Introduction to Machine Learning for Data Science

Introduction to Machine Learning for Data Science – Screenshot 2 — Screenshot 2 – Introduction to Machine Learning for Data Science

Introduction to Machine Learning for Data Science – Screenshot 3 — Screenshot 3 – Introduction to Machine Learning for Data Science

Introduction to Machine Learning for Data Science – Screenshot 4 — Screenshot 4 – Introduction to Machine Learning for Data Science

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Comidoc Review

Our Verdict

The 'Introduction to Machine Learning for Data Science' Udemy course offers aspiring data enthusiasts a clear, engaging, and well-structured introduction to the foundations of machine learning. Through this primer, students gain familiarity with critical domains like artificial intelligence, big data, and programming within an easy-to-understand framework. Despite minor issues related to audio quality, grammatical errors, and pacing, this course is definitely worthwhile for individuals motivated to grow their understanding of the ever-evolving world of data science

What We Liked

Comprehensive overview of machine learning and data science, making it an ideal starting point for those new to the field
Engaging delivery style with real-world examples and analogies that enhance understanding
rich resource tagging facilitates further exploration and deeper learning
Suits various learning styles, offering video content, text transcripts, and code examples

Potential Drawbacks

Occasional audio quality issues affecting concentration, possibly resulting from background noise or inconsistent microphone use
Sporadic grammatical errors, misspellings, and non-standard pronunciation in the video content which might impact credibility
Some users may desire more in-depth explanations for specific machine learning methods and techniques
Pacing and difficulty level vary throughout the course; some sections may initially seem slow before transitioning to advanced topics