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116 lines
4.6 KiB
116 lines
4.6 KiB
11 months ago
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<title>Julio Biason .Me 4.3</title>
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<div class="sidebar-about">
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<a href="https://blog.juliobiason.me"><h1>Julio Biason .Me 4.3</h1></a>
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<p class="lead">Old school dev living in a 2.0 dev world</p>
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<li class="sidebar-nav-item"><a href="/pt">Português</a></li>
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<li class="sidebar-nav-item"><a href="/tags">Tags (EN)</a></li>
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<li class="sidebar-nav-item"><a href="/pt/tags">Tags (PT)</a></li>
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<div class="content container">
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<div class="post">
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<h1 class="post-title">Clojure for Machine Learning - Akhil Wali</h1>
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<span class="post-date">
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2017-05-01
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<a href="https://blog.juliobiason.me/tags/books/">#books</a>
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<a href="https://blog.juliobiason.me/tags/akhil-wali/">#akhil wali</a>
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<a href="https://blog.juliobiason.me/tags/reviews/">#reviews</a>
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<a href="https://blog.juliobiason.me/tags/clojure/">#clojure</a>
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<a href="https://blog.juliobiason.me/tags/it/">#it</a>
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<a href="https://blog.juliobiason.me/tags/machine-learning/">#machine learning</a>
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<a href="https://blog.juliobiason.me/tags/stars-2/">#stars:2</a>
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<a href="https://blog.juliobiason.me/tags/published-2014/">#published:2014</a>
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</span>
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<p><a href="https://www.goodreads.com/book/show/22062479-clojure-for-machine-learning">GoodReads Summary</a>:
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Clojure for Machine Learning is an introduction to machine learning techniques
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and algorithms. This book demonstrates how you can apply these techniques to
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real-world problems using the Clojure programming language.</p>
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<p>It explores many machine learning techniques and also describes how to use
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Clojure to build machine learning systems. This book starts off by introducing
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the simple machine learning problems of regression and classification. It also
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describes how you can implement these machine learning techniques in Clojure.
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The book also demonstrates several Clojure libraries, which can be useful in
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solving machine learning problems.</p>
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<span id="continue-reading"></span><div>
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★★☆☆☆
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</div>
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<p>If I ever read a book with a misleading title, that would be it.</p>
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<p>Not because there is no Clojure in it, but the amount of Clojure used is
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minimal compared to the whole.</p>
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<p>Also, not because there is no Machine Learning in it, but the book goes as
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deep as explaining the algorithms behind each common machine learning
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technique, without explaining <em>when</em> you should use it. There is ample
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discussion about the mathematical context of each method, but it explains
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absolutely nothing about machine learning itself -- it's purely a bunch of
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mathematical equations that could be use to extract some pattern, but it's
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hardly "machine learning" at this point.</p>
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<p>(Also: Neural networks as "unsupervised learning"?!?)</p>
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<p>So, good book on the math behind some machine learning equations, very bad
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clojure, very bad machine learning.</p>
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</body>
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</html>
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