怎么样学习人工智能，应该怎么样入门？
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">大众</span><span style="color: black;">能够</span><span style="color: black;">根据</span><span style="color: black;">这般</span>的<span style="color: black;">过程</span>学习人工智能：</p><span style="color: black;">首要</span><span style="color: black;">咱们</span><span style="color: black;">必须</span><span style="color: black;">必定</span>的数学<span style="color: black;">基本</span>，如：高数、线性代数、概率论、统计学等；<span style="color: black;">而后</span><span style="color: black;">咱们</span><span style="color: black;">必须</span>的<span style="color: black;">便是</span>对算法的累积，<span style="color: black;">例如</span>人工神经网络、遗传算法等；最后<span style="color: black;">必须</span><span style="color: black;">把握</span>和学习的<span style="color: black;">便是</span>编程语言，毕竟算法的实现还是<span style="color: black;">必须</span>编程的，<span style="color: black;">举荐</span>学Python。<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1、</span>人工智能概述</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">人工智能（Artificial Intelligence）简<span style="color: black;">叫作</span> AI，是利用计算机模拟人类智能<span style="color: black;">行径</span>科学的统<span style="color: black;">叫作</span>，<span style="color: black;">或</span>说人工智能是<span style="color: black;">科研</span>、理解、模拟人类智能，并<span style="color: black;">发掘</span>其规律的学科。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">人工智能与<span style="color: black;">设备</span>学习、深度学习的关系：<span style="color: black;">设备</span>学习是人工智能的一个实现途径；深度学习是<span style="color: black;">设备</span>学习的一个<span style="color: black;">办法</span>发展而来。</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic1.zhimg.com/80/v2-64b86d121085f9c2d94fc2c5968ec420_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">2、</span>人工智能发展历程</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">人工智能充满未知的探索道路曲折起伏。<span style="color: black;">怎样</span>描述人工智能自1956年<span style="color: black;">败兴</span>60余年的发展历程，学术界可谓仁者见仁、智者见智。<span style="color: black;">咱们</span>将人工智能的发展历程划分为以下6个<span style="color: black;">周期</span>：</p>
<div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://pic1.zhimg.com/80/v2-31ff8b86cf239dcd34ad8986c28cc1d4_720w.webp" style="width: 50%; margin-bottom: 20px;"></div>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3、</span><span style="color: black;">区别</span>等级薪资</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>一人工智能<span style="color: black;">研发</span>入门：从人工智能Python语言入手，<span style="color: black;">把握</span>Python<span style="color: black;">基本</span>语法，对后续学习打下坚实<span style="color: black;">基本</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>二<span style="color: black;">设备</span>学习核心技术：<span style="color: black;">把握</span>核心<span style="color: black;">设备</span>学习算法原理，掌握<span style="color: black;">归类</span>、回归、聚类<span style="color: black;">运用</span>场景，满足人工智能数据挖掘类岗位，薪资<span style="color: black;">达到</span>到15K-20K。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>三深度学习核心技术：<span style="color: black;">把握</span>深度学习算法原理，<span style="color: black;">把握</span>BP神经网络、CNN、RNN等<span style="color: black;">基本</span>网络结构，为后续NLP和CV奠定技术<span style="color: black;">基本</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>四NLP自然语言处理技术：本<span style="color: black;">周期</span>课程将<span style="color: black;">把握</span>突破市场最热超高年薪的NLP技术，学生可应对市场上NLP工程师，<span style="color: black;">按照</span>市场反馈薪资突破30K。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>五CV计算机视觉技术：<span style="color: black;">把握</span>计算机视觉<span style="color: black;">基本</span>算法原理，<span style="color: black;">把握</span><span style="color: black;">目的</span>检测、<span style="color: black;">归类</span>、跟踪等各类CV任务，学生可应对市场上CV工程师岗位，薪资<span style="color: black;">达到</span>20K以上。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周期</span>六大厂面试专题：围绕大厂高频面试题，给出详尽解答，针对<span style="color: black;">设备</span>学习、深度学习、CV、NLP、数据结构与算法系列等专题精心设计，圆你大厂梦！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4、</span>人工智能学习大纲</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">入门： Python<span style="color: black;">基本</span>→Python数据挖掘</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">中级： <span style="color: black;">设备</span>学习</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">进阶： NLP自然语言</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">高级： OpenCV<span style="color: black;">基本</span>→深度学习</p>
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