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- 35% Unbalanced Data - Quick Start

Unbalanced Data – Quick Start

$12.99Track price

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8.5/10 (Our Score)
Product is rated as #131 in category Machine Learning

There is an unprecedented amount of data available. This has caused knowledge discovery to garner attention in recent years. However, many real–world datasets are imbalanced. Learning from imbalanced data poses major challenges and is recognized as needing significant attention.

The problem with imbalanced data is the performance of learning algorithms in the presence of underrepresented data and severely skewed class distributions. Models trained on imbalanced datasets strongly favor the majority class and largely ignore the minority class. Several approaches introduced to date present both data–based and algorithmic solutions.

The specific goals of this course are:

Help the students understand the underline causes of this problem

Discuss the different characteristics of an unbalanced dataset

Highlight the severity and importance  of this branch of data science

Give a general idea of the two main major state–of–the–art approaches that you developed to handle this problem.

Go over two methods in details to give an idea about some of the techniques used and hopefully motivate the students to learn more.

Instructor Details

Hello and thank you for checking out my course. I have a B.Sc, M.Sc and PhD in computer science from University of California, San Diego and University of Houston respectively. I'm an experienced machine learning specialist. I enjoy working on various aspects of machine learning problems, high-dimensional statistics and predictive analytics with a main focus on developing and analyzing learning algorithms for imbalanced data. I am especially interested in understanding and exploiting the intrinsic structure in data (e.g. manifold or sparse structure) to design more effective learning algorithms. I am an entrepreneur who wants to use technology to improve people's lives and an educator who wants to turn technology consumers into technology builders. My Method: The first step is always simply noticing a problem that already exists. What could be changed or improved about the way we currently do things to make them easier, cheaper, more efficient or helpful? Next begins the ongoing process of gathering insight. What do people closest to the issue see as the hurdles? How can we collaborate to understand the problem in its most basic form? Third, I map out a clear path from what we have now to a better solution. Finally, I work relentlessly, tirelessly, to come up with an answer while being flexible enough to take criticism and firm enough to stay driven.

Specification: Unbalanced Data – Quick Start

Duration

1.5 hours

Year

2019

Level

Beginner

Certificate

Yes

Quizzes

Yes

9 reviews for Unbalanced Data – Quick Start

4.9 out of 5
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  1. Jose Mercado

    Thanks for the updates!

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  2. Heinz Khlop

    Quick takeaway..Thanks

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  3. Lao Zhang

    Thanks for the new examples!

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  4. Hazard

    Thank you Dr Bassam. I had a hard time finding information about this topic..I appreciate the overview.

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  5. Lili R

    I really enjoyed this course and the format it was presented in.

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  6. Dat W

    Good introduction course to this problem!

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  7. Chris Silva

    Great!! short course yet covers the main aspects of this problem.

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  8. Jo Sung

    Excellent introduction to the topic. You need to be familiar with ML in general before talking this course.

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  9. Bhaswati Paul

    good to go

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    Unbalanced Data – Quick Start

    $12.99

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