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<a href="/2021/10/14/1-Time-and-Space-Complexity/" class="post-title-link" itemprop="url">1.Time and Space Complexity</a>
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<h1 id="1-Time-Complexity"><a href="#1-Time-Complexity" class="headerlink" title="1.Time Complexity"></a>1.Time Complexity</h1><p>A indicator to evaluate the time cost of an algorithm.</p>
<h2 id="1-1-O-1"><a href="#1-1-O-1" class="headerlink" title="1.1. O(1)"></a>1.1. O(1)</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line"><span class="built_in">print</span>(<span class="string">"Hello World!"</span>)</span><br></pre></td></tr></table></figure>
<h2 id="1-2-O-n"><a href="#1-2-O-n" class="headerlink" title="1.2. O(n)"></a>1.2. O(n)</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">for</span> i <span class="keyword">in</span> <span class="built_in">range</span>(n):</span><br><span class="line"> <span class="built_in">print</span>(i)</span><br></pre></td></tr></table></figure>
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<p>老师简单的过了一遍线性代数、概率论、微分，若想深入请看参考资料。<br>后续有空整理下AI核心数学知识。</p>
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<h1 id="1-Univariate-Linear-Regression"><a href="#1-Univariate-Linear-Regression" class="headerlink" title="1. Univariate Linear Regression"></a>1. Univariate Linear Regression</h1><blockquote>
<p>Univariate linear regression operates on a single dimension/feature of your data.</p>
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<h1 id="1-What-is-Machine-Learning"><a href="#1-What-is-Machine-Learning" class="headerlink" title="1. What is Machine Learning?"></a>1. What is Machine Learning?</h1><h2 id="1-1-Definition"><a href="#1-1-Definition" class="headerlink" title="1.1. Definition"></a>1.1. Definition</h2><ul>
<li>Arthur Samuel (1959): Field of study that gives computers the ability to learn without being explicitly programmed. <strong><<一个较为宏观的定义>></strong></li>
<li>Tom Mitchell (1998).Well-posed Learning Problem:A computer program is said to learn from <strong>experience E</strong> with respect to some <strong>task T</strong> and some <strong>performance measure P</strong>, if its performance on T, as measured by P, improves with experience E. <strong><<一个较为practical的定义, 难点在于如何辨别一个problem中的T/P/E>></strong></li>
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<h1 id="1-Challenges-of-Computer-Networks"><a href="#1-Challenges-of-Computer-Networks" class="headerlink" title="1. Challenges of Computer Networks"></a>1. Challenges of Computer Networks</h1><h2 id="1-1-What-is-a-Computer-Network"><a href="#1-1-What-is-a-Computer-Network" class="headerlink" title="1.1.What is a Computer Network?"></a>1.1.What is a Computer Network?</h2><p>Wikipedia: A computer network is a group of computers that use a set of common communication protocols over digital interconnections for the purpose of sharing resources located on or provided by the network nodes.</p>
<h2 id="1-2-Classifying-Networks"><a href="#1-2-Classifying-Networks" class="headerlink" title="1.2. Classifying Networks"></a>1.2. Classifying Networks</h2><ul>
<li>By size: Local area networks (LANs) versus Wide area networks (WANs)</li>
<li>By connectivity: Point to point versus broadcast networks</li>
<li>By communication medium: Wired, wireless, satellite, Bluetooth, even your TV remote control!!</li>
<li>By mobility: Fixed versus mobile</li>
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<h1 id="1-Teaching"><a href="#1-Teaching" class="headerlink" title="1. Teaching"></a>1. Teaching</h1><h2 id="1-1-Theoretical-Part"><a href="#1-1-Theoretical-Part" class="headerlink" title="1.1. Theoretical Part:"></a>1.1. Theoretical Part:</h2><ul>