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Jadi, apa yang Kamu lakukan? Kamu mulai memperhatikan kelompok-kelompok yang ngobrol, mencari pola—mungkin yang satu membahas teknologi, yang lain membahas sepak bola. Tanpa ada yang bilang, Kamu mulai memahami siapa cocoknya ada di mana. Nah, kira-kira begitulah cara kerja <strong>unsupervised learning</strong>. </p><p>Jadi, <strong>apa itu unsupervised learning</strong>? Singkatnya, ini adalah jenis machine learning di mana mesin belajar sendiri dari data tanpa bantuan label. Kalau <strong>supervised learning</strong> itu seperti belajar dengan guru, <strong><a href="https://en.wikipedia.org/wiki/Unsupervised_learning">unsupervised learning</a></strong> lebih kayak detektif yang mencoba memecahkan teka-teki tanpa petunjuk langsung. Penasaran gimana caranya dan <strong>contoh unsupervised learning</strong> di dunia nyata? Yuk, kita kupas tuntas! </p><h2>Contoh Unsupervised Learning</h2><p><img src="https://img.mesinpintar.com/apa-itu-unsupervised-learning-chart.jpg" alt="Contoh Unsupervised Learning"><br><em>Contoh penerapan Unsupervised Learning dalam analisis data kelompok.</em> </p><p>Untuk memahami <strong>apa itu unsupervised learning</strong>, mari kita lihat beberapa contohnya di dunia nyata: </p><ol><li><strong>Segmentasi Pelanggan</strong>: Perusahaan e-commerce menggunakan unsupervised learning untuk membagi pelanggan berdasarkan kebiasaan belanja mereka. Hasilnya? Diskon yang lebih relevan untuk Kamu! </li><li><strong>Deteksi Anomali</strong>: Bank menggunakan algoritma ini untuk mendeteksi transaksi mencurigakan, seperti kemungkinan penipuan. </li><li><strong>Pengelompokan Gambar</strong>: Aplikasi pengelola foto sering menggunakan teknologi ini untuk mengelompokkan foto berdasarkan wajah atau lokasi.</li></ol><p>Tanpa bantuan label, <strong>unsupervised learning</strong> bisa membantu menemukan pola tersembunyi yang sebelumnya nggak terlihat. </p><h2>Algoritma Unsupervised Learning</h2><p>Di balik layar, ada beberapa algoritma utama yang bikin <strong>unsupervised learning</strong> berjalan. Ini dia beberapa yang paling sering digunakan: </p><ol><li><strong>K-Means Clustering</strong>: Algoritma ini membagi data ke dalam kelompok berdasarkan kesamaan pola. </li><li><strong>Principal Component Analysis (PCA)</strong>: Digunakan untuk mengurangi dimensi data sambil tetap mempertahankan informasi penting. </li><li><strong>Hierarchical Clustering</strong>: Metode ini mengelompokkan data secara bertahap untuk membentuk hierarki kelompok.</li></ol><p>Setiap algoritma ini dirancang untuk tujuan yang berbeda, tapi semuanya berbagi prinsip yang sama: memahami data tanpa bantuan label. </p><h2>Kesimpulan dan CTA</h2><p>Nah, sekarang Kamu tahu <strong>apa itu unsupervised learning</strong> dan bagaimana mesin belajar tanpa bimbingan langsung. Tapi tunggu, ini baru setengah cerita. Ada jenis machine learning lain yang nggak kalah seru: <strong>Reinforcement Learning</strong>. Kalau Kamu penasaran bagaimana mesin belajar dari pengalaman dan reward, langsung aja ke <a href="https://www.mesinpintar.com/apa-itu-reinforcement-learning">Apa itu Reinforcement Learning</a>.</p></p> </article> <div class="tags-container"> <p><strong>Tags:</strong> <span>AI, </span> <span>Unsupervised Learning, </span> <span>Algoritma Machine Learning</span> </p> </div> </div> </div> </div> <div> <button class="chatbot-toggler"> <span class="material-symbols-rounded">comment</span> <span class="material-symbols-outlined">close</span> </button> <div class="chatbot"> <header> <h2>Mesinpintar Chatbot</h2> <span class="close-btn material-symbols-outlined">close</span> </header> <ul class="chatbox"> <li class="chat incoming"> <span class="material-symbols-outlined">robot_2</span> <p>Hi there 👋, I am a chat assistant powered by meta-Llama-3.1 model. 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