Machine Learning Course - 4. Intro to Feature Engineering with Text

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A full university-level machine learning course - for free. New lectures every week.

Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems.

This lecture covers:
Feature engineering. Binary, Categorical, and Numeric Features. Tokenizing. Bag of Words, N-grams, TF-IDF, Normalization, and the concept of embeddings.

  1. Geoff Hulten
  2. machine learning engineer
  3. machine learning course
  4. learn machine learning
  5. machine learning lecture
  6. machine learning career
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Комментарии
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I believe this lecture series on machine learning is the best one I've come across. Thank you very much for sharing such valuable content, Dr. Hulten.

bbarbny
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Hi Geoff, I just discovered your channel less than 1day ago and am loving it. I like your old school teaching style, explaining the principles without jumping straight into demos using software or packages. This is what many people venturing into data science relates field need. Many of us miss out the principles and we get stuck on the way.

peterkatongole
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Dr. Hulten, I have been following your WSU course page and I love your new series here. I appreciate it that you share these contents for free. I hope it is fine with you that I could your content in teaching the concepts to my students.

aliaocc
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Nice. This is so different from 2d and 3d object detection where the feature set is mostly ready-made for you in form of photo or lidar scan.

bitdribble
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Hey Geoff,
Thanks a lot for teaching this amazing Machine Learning course for free!
This is one of the best and most engaging ML series I've found. Kudos!

A small query:
I am sorry if I'm missing something here; but I didn't quite understand the file and assignments you're talking about @7:05 in the video. Where can I get these?

Thanks!

_kshitij_