Lokasi Syuting
127A Smithfield Road, Frederiksted, Virgin Islands
Artificial Intelligence
Tonton Video
Deskripsi
The TV series Artificial Intelligence, created by an unlisted creator and produced by an unlisted studio, first premiered on May 12, 2026 in Britania Raya. The series spans 1 season with 21 episodes, featuring the voices of an unlisted voice cast. It follows the story of In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to: * Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement * Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search * Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences * Understand the causes of algorithmic bias and audit datasets for several of these causes * Reason about how specific advances in AI may impact our world and your life, for better or for worse. This is an Ai series and has received a rating of 0/10 from 0 viewers.
Tempat Menonton
ugc-edu.comlamia!!!
Ketersediaan dapat berbeda menurut negara, bahasa, dan jendela rilis. Sebagian judul sudah termasuk dalam langganan platform, sementara judul lain mungkin memerlukan penyewaan, pembelian, atau akses melalui aplikasi. Katalog streaming dan perjanjian lisensi diperbarui secara berkala sehingga opsi pemutaran dapat berubah. Untuk pengalaman menonton paling akurat, periksa daftar terbaru pada layanan pilihan Anda dan pastikan dukungan wilayah, opsi subtitle, serta kompatibilitas perangkat sebelum memulai.
Produksi
Castle Rock Entertainment
Penghargaan
21 kemenangan & 43 nominasi total
Dapatkan APK MovieBox / FM / TV
Unduh paket MovieBox terbaru untuk seluler, versi FM, dan APK yang kompatibel dengan TV. Pilih paket yang sesuai dengan perangkat dan wilayah Anda, lalu ikuti panduan instalasi resmi untuk kompatibilitas dan keamanan terbaik.
Ulasan Pengguna
Follow along: https://colab.research.google.com/drive/1-v9cw18wTDjaCUlECKHsQnHeisLKyG8U We need to save Jabril and John Green Bot’s movie nights. Jabril generally likes action movies and John Green Bot likes romantic movies, but they need to find something that they can both watch and enjoy together. Today, we’re going to build a movie recommender systems to find that perfect movie. With the help of the LensKit library, our AI will use existing movie ratings from the MovieLens dataset and personalized ratings from Jabril and John Green Bot to perform user-user collaborative filtering. We’ll then create a Jabril Green Bot hybrid that will average these ratings to try and find something that they both want to watch. Lenskit documentation: https://java.lenskit.org/documentation/ Our GitHub for this lab: https://github.com/crash-course-ai/lab4-recommender-systems Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course
Follow along: https://colab.research.google.com/drive/1-v9cw18wTDjaCUlECKHsQnHeisLKyG8U We need to save Jabril and John Green Bot’s movie nights. Jabril generally likes action movies and John Green Bot likes romantic movies, but they need to find something that they can both watch and enjoy together. Today, we’re going to build a movie recommender systems to find that perfect movie. With the help of the LensKit library, our AI will use existing movie ratings from the MovieLens dataset and personalized ratings from Jabril and John Green Bot to perform user-user collaborative filtering. We’ll then create a Jabril Green Bot hybrid that will average these ratings to try and find something that they both want to watch. Lenskit documentation: https://java.lenskit.org/documentation/ Our GitHub for this lab: https://github.com/crash-course-ai/lab4-recommender-systems Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course
Follow along: https://colab.research.google.com/drive/1-v9cw18wTDjaCUlECKHsQnHeisLKyG8U We need to save Jabril and John Green Bot’s movie nights. Jabril generally likes action movies and John Green Bot likes romantic movies, but they need to find something that they can both watch and enjoy together. Today, we’re going to build a movie recommender systems to find that perfect movie. With the help of the LensKit library, our AI will use existing movie ratings from the MovieLens dataset and personalized ratings from Jabril and John Green Bot to perform user-user collaborative filtering. We’ll then create a Jabril Green Bot hybrid that will average these ratings to try and find something that they both want to watch. Lenskit documentation: https://java.lenskit.org/documentation/ Our GitHub for this lab: https://github.com/crash-course-ai/lab4-recommender-systems Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course
Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed. Thanks so much everyone for watching! Don't forget to subscribe to Jabril’s channel here! http://youtube.com/c/jabrils And you can find some more free recourses to learn about AI below! https://course.fast.ai/ https://www.coursera.org/learn/ai-for-everyone https://www.coursera.org/learn/machine-learning https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html https://www.kaggle.com/learn/overview https://www.kaggle.com/competitions?
Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed. Thanks so much everyone for watching! Don't forget to subscribe to Jabril’s channel here! http://youtube.com/c/jabrils And you can find some more free recourses to learn about AI below! https://course.fast.ai/ https://www.coursera.org/learn/ai-for-everyone https://www.coursera.org/learn/machine-learning https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html https://www.kaggle.com/learn/overview https://www.kaggle.com/competitions?
Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed. Thanks so much everyone for watching! Don't forget to subscribe to Jabril’s channel here! http://youtube.com/c/jabrils And you can find some more free recourses to learn about AI below! https://course.fast.ai/ https://www.coursera.org/learn/ai-for-everyone https://www.coursera.org/learn/machine-learning https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html https://www.kaggle.com/learn/overview https://www.kaggle.com/competitions?
Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed. Thanks so much everyone for watching! Don't forget to subscribe to Jabril’s channel here! http://youtube.com/c/jabrils And you can find some more free recourses to learn about AI below! https://course.fast.ai/ https://www.coursera.org/learn/ai-for-everyone https://www.coursera.org/learn/machine-learning https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html https://www.kaggle.com/learn/overview https://www.kaggle.com/competitions?
Follow along: https://colab.research.google.com/drive/1N5IdMTmiNbwEOD8dqammN8GAfpk41arw Today, in our final lab, Jabril tries to make an AI settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So today we'll talk about how bias creeps into our algorithms and what we can do to try to account for these problems. Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Efrain R. Pedroza, Matthew Curls, Indika Siriwardena, Avi Yashchin, Timothy J Kwist, Brian Thomas Gossett, Haixiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Jennifer Kill
Follow along: https://colab.research.google.com/drive/1N5IdMTmiNbwEOD8dqammN8GAfpk41arw Today, in our final lab, Jabril tries to make an AI settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So today we'll talk about how bias creeps into our algorithms and what we can do to try to account for these problems. Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Efrain R. Pedroza, Matthew Curls, Indika Siriwardena, Avi Yashchin, Timothy J Kwist, Brian Thomas Gossett, Haixiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Jennifer Kill
Follow along: https://colab.research.google.com/drive/1N5IdMTmiNbwEOD8dqammN8GAfpk41arw Today, in our final lab, Jabril tries to make an AI settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So today we'll talk about how bias creeps into our algorithms and what we can do to try to account for these problems. Crash Course is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Efrain R. Pedroza, Matthew Curls, Indika Siriwardena, Avi Yashchin, Timothy J Kwist, Brian Thomas Gossett, Haixiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Jennifer Kill
Rekomendasi Film Serupa
Talks that are perfect for procrastination
Maximize Productivity With AI Tools
Kids Songs by CoComelon
Learn English With Disney Movies
KS2 Drama
KS1 Drama
Introduction to AI
Computer Science
Statistics
Crime and punishment
SS 1 Physics
SS 3 Physics
What happens when the robots take our jobs?
TED’s guide to your digital detox
AI may one day be your friend, lover and therapist
Blog
Menemukan Alternatif Gratis untuk Movie Box
Uraian mendetail tentang perubahan harga terbaru, alasan pengguna mempertimbangkan kembali pengaturan menonton, dan cara mengevaluasi alur alternatif tanpa kehilangan kebiasaan penemuan Anda.
Cara Mengunduh APK Movie Box: Panduan Penyiapan Lengkap
Pelajari alur yang tepat untuk memasang APK Movie Box: dasar-dasar versi terlebih dahulu, lalu langkah pemasangan yang bersih, dan terakhir cara memilih antara jalur TV, iOS, Web, dan penggunaan aplikasi.
Ulasan Project Hail Mary: Blockbuster Fiksi Ilmiah Langka yang Berpikir dan Terasa
Ulasan panjang yang membahas mengapa Project Hail Mary menonjol pada 2026: kualitas adaptasi, penceritaan ilmiah, kedalaman emosional, dan reaksi penonton.
Jenis Umum
Komedi
Cerita komedi dirancang untuk menghibur lewat humor. Format populer meliputi komedi situasi, humor ala sketsa, komedi dunia kerja, dan komedi romantis.
Aksi dan Petualangan
Judul aksi menekankan kegembiraan, konflik fisik, tokoh heroik, dan penceritaan yang cepat. Judul petualangan sering menampilkan eksplorasi, bertahan hidup, atau perjalanan epik.
Kriminal dan Misteri
Drama kriminal mengikuti penyidik, detektif, pengacara, atau jurnalis saat memecahkan kasus kriminal. Cerita misteri mendorong penonton mengungkap petunjuk bersama para tokoh.
Fiksi Ilmiah
Fiksi ilmiah mengeksplorasi teknologi futuristik, perjalanan luar angkasa, kecerdasan buatan, realitas alternatif, dan spekulasi ilmiah.
Horor
Penceritaan horor menciptakan ketegangan lewat tekanan psikologis, peristiwa supernatural, monster, atau skenario bertahan hidup.
Romantis
Cerita romantis berfokus terutama pada hubungan, alur cinta, dan perkembangan emosional antartokoh.
Animasi
Animasi mencakup karya untuk anak-anak, keluarga, dan orang dewasa, mulai dari konten edukatif hingga penceritaan dramatis yang kompleks.
Romantis
Cerita romantis berfokus terutama pada hubungan, alur cinta, dan perkembangan emosional antartokoh.