Hilary Mason: An Introduction to Machine Learning with Web Data
Publisher: O'Reilly Media
Final Release Date: May 2011
Run time: 2 hours 43 minutes

Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from obtaining, cleaning, and exploring data to building a model and interpreting the results.

Examine several real-world analysis solutions, including supervised learning and classification, unsupervised learning and clustering, and building common machine learning applications such as recommendation systems. If you're a developer interested in the math and processes necessary to apply machine learning techniques to web data, this video course is for you.

Intended Audience:

This class is intended for developers who are interested in an introduction to the math and processes to apply machine learning techniques to web data.

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O'Reilly MediaHilary Mason: An Introduction to Machine Learning with Web Data
 
4.5

(based on 15 reviews)

Ratings Distribution

  • 5 Stars

     

    (9)

  • 4 Stars

     

    (5)

  • 3 Stars

     

    (1)

  • 2 Stars

     

    (0)

  • 1 Stars

     

    (0)

100%

of respondents would recommend this to a friend.

Pros

  • Easy to understand (14)
  • Helpful examples (14)
  • Accurate (10)
  • Concise (8)

Cons

No Cons

Best Uses

  • Novice (14)
  • Student (9)
  • Intermediate (6)
    • Reviewer Profile:
    • Developer (12), Sys admin (7), Educator (4), Designer (3), Maker (3)

Reviewed by 15 customers

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3.0

Not a bad introduction

By seawolf

from Anchorage, AK

About Me Developer, Sys Admin

Verified Buyer

Pros

  • Accurate
  • Easy to understand
  • Helpful examples

Cons

  • Too basic

Best Uses

  • Novice

Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

This was a good introduction to a very complex topic. I feel that for the price I would have gotten more with books due to the detailed examples they would have provided by comparison.

 
5.0

great video

By The Solutionist

from Portugal

About Me Sys Admin

Verified Buyer

Pros

  • Accurate
  • Easy to understand
  • Helpful examples

Cons

    Best Uses

    • Novice
    • Student

    Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

    Good language, good examples, nice interaction with the other elements.

     
    5.0

    Privledged to study with Hillary Mason

    By Jeff the Aspiring_Data_Guy

    from Los Angeles

    About Me Developer, Maker

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate
      • Novice
      • Student

      Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

      Aside from having a serious nerd crush on Hilary Mason, I really do feel privledged to get to study hands on with her in this setting. I'm new to data analysis. Her clarity, her manner, her understanding and the opportunity to have her walk me through some very complicated and complex algorithms is a gift. I hope she continues with this series. I would sign up to pre-buy them today.

      (2 of 2 customers found this review helpful)

       
      5.0

      Superb

      By pd

      from ct

      About Me Developer, Educator, Maker, Sys Admin

      Pros

      • Concise
      • Easy to understand
      • Helpful examples

      Cons

        Best Uses

        • Novice
        • Student

        Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

        Incredibly useful to a novice. Wonderful production.

        (3 of 3 customers found this review helpful)

         
        5.0

        Very Nice Introduction

        By Gregory

        from Seattle, WA

        About Me Business Intelligence, Data Architect, Developer

        Pros

        • Accurate
        • All code on GitHub
        • Easy to understand
        • Helpful examples
        • Well-written

        Cons

          Best Uses

          • Novice
          • Student

          Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

          I definitely agree with Patrick, this is an excellent introduction. If you want to learn more, you really need to enroll in a Data Sciences program such as Univ. Washington's Applied Computation and Mathematical Sciences (ACMS) program.

          I really enjoyed this lecture -- I was drawn to it after attending the STRATA 2011 Bootcamp where she presented similar material. She's a wonderful speaker and lecturer, and her examples were well thought out and presented. Moreover, the material is immediately usable -- I'm using what I learned from this lecture right now on a project.

          (Be sure to snag the code off GitHub -- its pretty much the same Python code she uses in the lecture, a few minor changes. But you can use that to practice.)

          Next to bottom line -- Not only would I recommend this to a friend, I just recommended it this very evening to a colleague so he can help me out with a project.

          (6 of 6 customers found this review helpful)

           
          5.0

          The title is INTRODUCTION

          By Patrick The Developer

          from Temple Hills, MD

          About Me Designer, Developer, Sys Admin

          Pros

          • Concise
          • Easy to understand
          • Helpful examples

          Cons

            Best Uses

            • Novice
            • Student

            Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

            I am so tired of reading all of these comments such as "too basic", "not comprehensive enough", etc. The title says INTRODUCTION! By that title alone it should be apparent that it is not meant to be comprehensive and anything but basic. I grow tired of people who put in reviews simply to display how much smarter they are than the people authoring the book or teaching in a video.

            If you want an introduction to machine learning with web data I don't think you can do too much better than this. If you are a CS Phd candidate specializing in data, you will probably find it too basic or not comprehensive enough.

            "If you can't explain it to a six year old, you don't understand it yourself."
            ― Albert Einstein

            (1 of 2 customers found this review helpful)

             
            4.0

            Machine learning tech with web contents

            By hu

            from Tokyo Japan

            About Me Developer

            Pros

            • Accurate
            • Concise
            • Easy to understand
            • Helpful examples

            Cons

            • Not comprehensive enough

            Best Uses

            • Intermediate
            • Novice

            Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

            This video targets to beginners of machine learning who would like to take a look what machine learning is and what application can be created with the technology.
            The video starts from an explanation (30 minutes) of a basic machine learning method "Bayzes' theorem" and an application sample code (50 minutes) treating New York Times contents to be classified into 'sports' or 'politics' and so on.
            The explanation is done through the author's explanation and the questions from the students.
            Concerning the basic machine learning session, it was easy to understand even for beginners because the explanation is organized well. Concerning the application session, first we need to have enough knowledge for basic grammar of python because of no explanation for python. However, the sample code is very simple and doesn't use a standard library at all. Main parts of the sample code are explained precisely, so it is also easy to grasp what each part does. And finally the author introduced public web services which can be used for a classification of the machine learning.
            Totally, we can take a look a machine learning with web content in short time. In my feeling, some people who already know related technologies may be boring because I learned the machine learning and felt the content as expected. However, the video provides a nice start for apprentices.

            (1 of 1 customers found this review helpful)

             
            4.0

            Great introduction to machine learning

            By David

            from France

            About Me Developer, Sys Admin

            Verified Reviewer

            Pros

            • Accurate
            • Concise
            • Easy to understand
            • Helpful examples

            Cons

              Best Uses

              • Novice
              • Student

              Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

              Hilary Mason video is a great introduction to machine learning with web data. It covers both supervised and unsupervised with lot of examples run during the class and live tweaking to improve algorithm understanding.

              The video format, although slower to assimilate, provides a visual feedback on code running results and is a great alternative to books for introduction classes. If you want to follow up on the subject "Programming Collective Intelligence" is your next read.

              (1 of 2 customers found this review helpful)

               
              5.0

              Excellent intro to machine learning

              By Wilson Leoputra

              from Perth, Australia

              About Me Educator

              Verified Reviewer

              Pros

              • Accurate
              • Concise
              • Easy to understand
              • Helpful examples

              Cons

              • Too basic

              Best Uses

              • Intermediate
              • Novice
              • Student

              Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

              This video presents a comprehensive introduction to machine learning, covering topics on web data extraction, feature extraction, supervised and unsupervised learning algorithms for classification problem with examples and implementation codes. In this video, Hilary Mason showed a few useful tools to extract and process web document data including NYTimes API, curl, WordNet, and wordnik.com. She also explained and ran through the implementation codes in details for both supervised learning (Naive Bayes) and unsupervised learning (clustering) algorithms to solve classification problems. Different feature models are discussed in brief such as stemming, phrase n-gram bigram, and trigram along with strategies on how to deal with large data. With such easy-to-follow and comprehensive contents, this video is definitely useful for those who are interested to learn and apply machine learning techniques to web or text data.

              (0 of 1 customers found this review helpful)

               
              4.0

              makes easy to play with data from web

              By Anil

              from Seattle, WA

              About Me Developer

              Verified Reviewer

              Pros

              • Easy to understand
              • Helpful examples

              Cons

              • Not comprehensive enough

              Best Uses

              • Novice

              Comments about O'Reilly Media Hilary Mason: An Introduction to Machine Learning with Web Data:

              The class plays with delicious tags, content from nytimes API and introduces you to ways of getting sample data easily available on the internet for analysis.
              As the title suggests, this is an introductory video series enough to get started with. Some machine learning algorithms and use cases for these to apply on real world data are just introduced.

              At the end, it will help you understand where machine learning is applied on various internet services and will definitely create enough curiosity to study further on this topic.

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