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<blockquote data-quote="siri_ayya" data-source="post: 28302815" data-attributes="member: 579930"><p>𝐀𝐰𝐞𝐬𝐨𝐦𝐞 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞𝐬</p><p></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔹" title="Small blue diamond :small_blue_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f539.png" data-shortname=":small_blue_diamond:" />This is a selected selection of freely available machine learning courses from prestigious colleges including the <a href="https://www.linkedin.com/company/uc-berkeley/" target="_blank">University of California, Berkeley</a>, <a href="https://www.linkedin.com/company/harvard-university/" target="_blank">Harvard University</a>, <a href="https://www.linkedin.com/company/stanford-university/" target="_blank">Stanford University</a>, and <a href="https://www.linkedin.com/company/mit/" target="_blank">Massachusetts Institute of Technology</a>.</p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔹" title="Small blue diamond :small_blue_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f539.png" data-shortname=":small_blue_diamond:" />It also provides case studies of machine learning projects from major and experienced firms. The list is divided into topics and areas of expertise. Python is the ideal language since it covers all aspects of machine learning engineering.</p><p></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🌟" title="Glowing star :star2:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f31f.png" data-shortname=":star2:" /> 𝐓𝐨𝐩 𝟏𝟏 𝐛𝐞𝐬𝐭 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐋𝐢𝐬𝐭 :</p><p>=======================</p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" />Harvard CS 109A Data Science - <a href="https://lnkd.in/dcKQ9fuQ" target="_blank">https://lnkd.in/dcKQ9fuQ</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" />Stanford CS229: Machine Learning - <a href="https://lnkd.in/dtDUHgbA" target="_blank">https://lnkd.in/dtDUHgbA</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Columbia COMS W4995: Applied Machine Learning - <a href="https://lnkd.in/d6wT4Y8u" target="_blank">https://lnkd.in/d6wT4Y8u</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> <a href="https://www.linkedin.com/company/edx/" target="_blank">edX</a> ColumbiaX: Machine Learning - <a href="https://lnkd.in/d9fWNiZP" target="_blank">https://lnkd.in/d9fWNiZP</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Berkeley CS294: Fairness in Machine Learning - <a href="https://lnkd.in/dRNaEUY2" target="_blank">https://lnkd.in/dRNaEUY2</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Google: Machine Learning Crash Course - <a href="https://lnkd.in/dYcR_ne2" target="_blank">https://lnkd.in/dYcR_ne2</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Google: AI Education - <a href="https://lnkd.in/dAPMhDaS" target="_blank">https://lnkd.in/dAPMhDaS</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Google: Applied Machine Learning Intensive - <a href="https://lnkd.in/d39vqqSA" target="_blank">https://lnkd.in/d39vqqSA</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Cornell Tech CS5785: Applied Machine Learning - <a href="https://lnkd.in/dPv433vh" target="_blank">https://lnkd.in/dPv433vh</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> Probabilistic Machine Learning (Summer 2020) - <a href="https://lnkd.in/d5y-susP" target="_blank">https://lnkd.in/d5y-susP</a></p><p><img class="smilie smilie--emoji" loading="lazy" alt="🔸" title="Small orange diamond :small_orange_diamond:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f538.png" data-shortname=":small_orange_diamond:" /> AutoML - Automated Machine Learning - <a href="https://lnkd.in/dHgep85n" target="_blank">https://lnkd.in/dHgep85n</a></p><p></p><p>source: <a href="https://www.linkedin.com/embed/feed/update/urn:li:share:6991976487503425536" target="_blank">https://www.linkedin.com/embed/feed/update/urn:li:share:6991976487503425536</a></p><hr /><p><a href="https://training.linuxfoundation.org/training/pytorch-and-deep-learning-for-decision-makers-lfs116x/" target="_blank">https://training.linuxfoundation.org/training/pytorch-and-deep-learning-for-decision-makers-lfs116x/</a></p><p>------ <span style="font-size: 10px">Post added on [DATETIME="UT"]1667614382[/DATETIME]</span></p></blockquote><p></p>
[QUOTE="siri_ayya, post: 28302815, member: 579930"] 𝐀𝐰𝐞𝐬𝐨𝐦𝐞 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔹This is a selected selection of freely available machine learning courses from prestigious colleges including the [URL='https://www.linkedin.com/company/uc-berkeley/']University of California, Berkeley[/URL], [URL='https://www.linkedin.com/company/harvard-university/']Harvard University[/URL], [URL='https://www.linkedin.com/company/stanford-university/']Stanford University[/URL], and [URL='https://www.linkedin.com/company/mit/']Massachusetts Institute of Technology[/URL]. 🔹It also provides case studies of machine learning projects from major and experienced firms. The list is divided into topics and areas of expertise. Python is the ideal language since it covers all aspects of machine learning engineering. 🌟 𝐓𝐨𝐩 𝟏𝟏 𝐛𝐞𝐬𝐭 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐋𝐢𝐬𝐭 : ======================= 🔸Harvard CS 109A Data Science - [URL]https://lnkd.in/dcKQ9fuQ[/URL] 🔸Stanford CS229: Machine Learning - [URL]https://lnkd.in/dtDUHgbA[/URL] 🔸 Columbia COMS W4995: Applied Machine Learning - [URL]https://lnkd.in/d6wT4Y8u[/URL] 🔸 [URL='https://www.linkedin.com/company/edx/']edX[/URL] ColumbiaX: Machine Learning - [URL]https://lnkd.in/d9fWNiZP[/URL] 🔸 Berkeley CS294: Fairness in Machine Learning - [URL]https://lnkd.in/dRNaEUY2[/URL] 🔸 Google: Machine Learning Crash Course - [URL]https://lnkd.in/dYcR_ne2[/URL] 🔸 Google: AI Education - [URL]https://lnkd.in/dAPMhDaS[/URL] 🔸 Google: Applied Machine Learning Intensive - [URL]https://lnkd.in/d39vqqSA[/URL] 🔸 Cornell Tech CS5785: Applied Machine Learning - [URL]https://lnkd.in/dPv433vh[/URL] 🔸 Probabilistic Machine Learning (Summer 2020) - [URL]https://lnkd.in/d5y-susP[/URL] 🔸 AutoML - Automated Machine Learning - [URL]https://lnkd.in/dHgep85n[/URL] source: [URL]https://www.linkedin.com/embed/feed/update/urn:li:share:6991976487503425536[/URL] [HR][/HR] [URL]https://training.linuxfoundation.org/training/pytorch-and-deep-learning-for-decision-makers-lfs116x/[/URL] ------ [SIZE=2]Post added on [DATETIME="UT"]1667614382[/DATETIME][/SIZE] [/QUOTE]
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