<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: DucNguyenOppa</title>
    <description>The latest articles on DEV Community by DucNguyenOppa (@enternity).</description>
    <link>https://dev.to/enternity</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F403868%2F02164d70-59be-40be-8f97-45926033d447.jpeg</url>
      <title>DEV Community: DucNguyenOppa</title>
      <link>https://dev.to/enternity</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/enternity"/>
    <language>en</language>
    <item>
      <title>Machine Learning in 30days. </title>
      <dc:creator>DucNguyenOppa</dc:creator>
      <pubDate>Mon, 08 Jun 2020 15:58:15 +0000</pubDate>
      <link>https://dev.to/enternity/machine-learning-in-30days-5aop</link>
      <guid>https://dev.to/enternity/machine-learning-in-30days-5aop</guid>
      <description>&lt;h2&gt;
  
  
  &lt;strong&gt;Introduction&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Hello everyone, my name is Duc. I'm CS student in HCM city Viet Nam. So this is first post. I'll try to write one post everyday.So let's get started.&lt;/p&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;Let's google!!!&lt;/strong&gt;
&lt;/h2&gt;

&lt;p&gt;Yes, Want to know something? Just google it. Well, let's see. When i google "machine learning" i have over 2 billions results. &lt;br&gt;
&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fi.imgur.com%2Fm1aVAdq.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fi.imgur.com%2Fm1aVAdq.png"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;That is a lot of information. A lot of courses, resource,etc. You can feel overwhelming. So do I. First we need declare clearly what is Machine Learning? Efficient way to learning ML? How to get a job with ML?. Actually, i don't know answer the quesion : how to get a job with ML? :D &lt;/p&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;What is Machine Learning?&lt;/strong&gt;
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;a href="https://en.wikipedia.org/wiki/Machine_learning" rel="noopener noreferrer"&gt;Wiki&lt;/a&gt; said :&lt;/li&gt;
&lt;/ul&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;Machine learning (ML) is the study of computer algorithms that improve automatically through experience.[1] It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.[2] Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;ul&gt;
&lt;li&gt;Do you get that? if yes, you're better than me.&lt;/li&gt;
&lt;li&gt;With me, i will do not ask &lt;strong&gt;&lt;em&gt;what is ML?&lt;/em&gt;&lt;/strong&gt; first. Instead of that, i will ask &lt;strong&gt;&lt;em&gt;why we need ML?&lt;/em&gt;&lt;/strong&gt;. I found the answer on &lt;a href="https://www.caltech.edu/" rel="noopener noreferrer"&gt;Caltech&lt;/a&gt; the main meaning answer is: &lt;em&gt;we can't solve problem with normal algorithm, and the problem have&lt;/em&gt; &lt;strong&gt;pattern&lt;/strong&gt;. What is &lt;strong&gt;pattern&lt;/strong&gt; mean ? The partern mean is: the price of house increase follow: rooms, local,... Recognize dog in image, etc.&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  &lt;strong&gt;A litte things we need to know&lt;/strong&gt; :
&lt;/h2&gt;

&lt;ol&gt;
&lt;li&gt;&lt;p&gt;&lt;em&gt;Python&lt;/em&gt;: absolutely, Python is the most common in ML. You &lt;strong&gt;shouldn't&lt;/strong&gt; think Python is the best language for ML. Although, yes it is :D. The reason for Python is the most common in ML is easy to learn, simple syntax, a ton packages support for you. C/C++, Assembly still have performance better than Python. But you don't want headache with pointer in C/C++ or writing function in Assembly when we do ML, right? &lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;Matlab&lt;/strong&gt; : yes, it is. No more explaining.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;Math&lt;/strong&gt; : yes. If you hate math, i think you can think again about ML. Some subjects you need to know like: Linear Algebra, Matrix Calculus, Statistical.&lt;/p&gt;&lt;/li&gt;
&lt;/ol&gt;

&lt;blockquote&gt;
&lt;p&gt;Not only that, but you also have to learn more. But that was too much with the beginning&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h2&gt;
  
  
  Apologies:
&lt;/h2&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;I am not very good at English. So, sometimes I may use wrong grammar and vocabulary. Hope you can understand the content and help me with suggestions on English and article content.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h2&gt;
  
  
  References:
&lt;/h2&gt;

&lt;ol&gt;
&lt;li&gt;&lt;a href="https://work.caltech.edu/telecourse" rel="noopener noreferrer"&gt;https://work.caltech.edu/telecourse&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://sites.google.com/site/fsubiwiki/home/data-mining/machine-learning/history" rel="noopener noreferrer"&gt;https://sites.google.com/site/fsubiwiki/home/data-mining/machine-learning/history&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://machinelearningcoban.com/" rel="noopener noreferrer"&gt;https://machinelearningcoban.com/&lt;/a&gt;&lt;/li&gt;
&lt;/ol&gt;

</description>
      <category>machinelearning</category>
      <category>python</category>
      <category>datascience</category>
    </item>
  </channel>
</rss>
