Скачать с ютуб Machine Learning | Semi-Supervised SVM (S3VM/TSVM) в хорошем качестве

Machine Learning | Semi-Supervised SVM (S3VM/TSVM)

S3VM stands for semi-supervised support vector machines. Semi-supervised machine learning is a class of machine learning that you have some labeled data sets and also an amount of unlabeled data. The semi-supervised learning approach is motivated by the fact that it is easier (and cheaper) to collect unlabeled training examples. For example, it is easy to crawl the web and collect images but it is much more difficult to do with their associated labels. As far as S3VM go, you start with the SVM formulation and then modify the constraints of the optimization problem to formulate an S3VM. #S3SVM #TSVM #S3VM ================================================================= Chapters: ⏱️ 0:00 Idea of S3VM ⏱️ 5:37 SVM vs. S3VM ⏱️ 6:35 Hinge loss & Hat loss function ⏱️ 9:39 Assumptions of S3VM ⏱️ 11:34 Problems to be addressed ⏱️ 12:30 Advantages ⏱️ 13:14 Disadvantages ⏱️ 14:56 SVM-light ⏱️ 15:50 Label Switching ================================================================= If you would like to support this channel and my work through BHIM-UPI: 919870794639@federal 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉    • Skill Series - Python   🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉    • Deep Learning   🦾𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉   • Machine Learning   🤖𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 👉   • Artificial Intelligence Tutorials   ☁️𝑪𝒍𝒐𝒖𝒅 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈 👉   • Cloud Computing Tutorials   📶𝑾𝒊𝒓𝒆𝒍𝒆𝒔𝒔 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉   • Wireless Technology Tutorials   🛠️𝑫𝒂𝒕𝒂 𝑴𝒊𝒏𝒊𝒏𝒈 👉   • Data Mining & Business Intelligence   ⚙️𝑺𝒊𝒎𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝑴𝒐𝒅𝒆𝒍𝒊𝒏𝒈 👉   • Simulation Modeling Tutorials   🐘𝑩𝒊𝒈 𝑫𝒂𝒕𝒂 👉   • Big Data Anaytics   ⛓️𝑩𝒍𝒐𝒄𝒌𝒄𝒉𝒂𝒊𝒏 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉   • Blockchain Technology   💡𝑰𝑶𝑻 👉   • Internet Of Things   𝓕𝓸𝓵𝓵𝓸𝔀 𝓶𝓮 𝓸𝓷 𝓘𝓷𝓼𝓽𝓪𝓰𝓻𝓪𝓶 👉   / adhyapakh   𝓥𝓲𝓼𝓲𝓽 𝓶𝔂 𝓟𝓻𝓸𝓯𝓲𝓵𝓮 👉   / reng99   𝓢𝓾𝓹𝓹𝓸𝓻𝓽 𝓶𝔂 𝔀𝓸𝓻𝓴 𝓸𝓷 𝓟𝓪𝓽𝓻𝓮𝓸𝓷 👉   / ranjiraj   𝓖𝓲𝓽𝓗𝓾𝓫👉 https://github.com/ranjiGT