Podcast Overview
<p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup"><b>主讲人</b>：老K</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 清华大学电子系学士、计算机系硕士</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 硅谷科技公司研发主管</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 上市公司CTO</p><span><br /></span><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>专辑目标</b>：零基础入门机器学习</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>适用人群</b>：有志于与时俱进、提升自我、掘金智能时代的你</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>讲述方式</b>：在项目实践中掌握机器学习的基础理论、实现技术和常用工具</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>专辑内容</b>：覆盖图像分类、语音识别、机器翻译、智能推荐、游戏AI等应用领域</p>
Language
🇨🇳
Publishing Since
2/13/2019
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Recent Episodes
April 14, 2021
推荐系统，是如何掌握用户喜好的？
<p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal">今天的这期节目，向大家介绍推荐系统的基本原理。</p>
May 27, 2020
一文看懂卷积
<p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal">大家好，欢迎来到《机器学习入门课》，我是主讲老K。</p><p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal">近年来，图像处理领域取得了飞速的进展，其中最常用的模型是卷积神经网络(Convolutional Neural Network)。</p><p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal">今天的这期节目，我们将通过一个案例，掌握卷积的基本原理。</p><br />
June 14, 2019
机器翻译的基本原理
<p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal">介绍机器翻译的基本原理</p>
9 total episodes available
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- What is 机器学习入门?
<p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup"><b>主讲人</b>：老K</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 清华大学电子系学士、计算机系硕士</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 硅谷科技公司研发主管</p><p style="font-size:14px;color:#999999;line-height:24px;font-weight:normal;word-break:break-all" data-flag="backup">- 上市公司CTO</p><span><br /></span><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>专辑目标</b>：零基础入门机器学习</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>适用人群</b>：有志于与时俱进、提升自我、掘金智能时代的你</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>讲述方式</b>：在项目实践中掌握机器学习的基础理论、实现技术和常用工具</p><p style="font-size:16px;color:#333333;line-height:30px;font-family:Helvetica,Arial,sans-serif;font-weight:normal;text-align:justify;hyphens:auto" data-flag="normal"><b>专辑内容</b>：覆盖图像分类、语音识别、机器翻译、智能推荐、游戏AI等应用领域</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
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