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Business Intelligence
Programming Languages
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Paleontology: Theropod Dinosaurs and the Origin of Birds
Preparing to Manage Human Resources
Transforming Digital Learning: Learning Design Meets Service Design
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Dive into deep generative modeling with this MIT lecture series. Learn about autoencoders, variational autoencoders, generative adversarial networks, and more in just 1-2 hours.
Dive into deep learning with MIT's 1-2 hour material on Recurrent Neural Networks, covering sequence modeling, LSTM, RNN applications, and more.
Dive into deep learning with MIT's concise program. Understand perceptrons, neural networks, activation functions, and more in under an hour.
Explore MIT's deep dive into machine learning for scent, covering topics from digitizing smell to predicting odor descriptors. Less than 1-hour workload.
Dive into deep learning with MIT's concise material on neural rendering, covering topics from forward rendering to HoloGAN. Less than 1-hour workload.
Explore deep learning and robot manipulation with MIT's concise material, covering topics like imitation learning, visuo-motor policies, and neural task programming.
Explore the evolution of AI, understand the concept of Neurosymbolic AI, and delve into the advantages of combining symbolic AI in this less than 1-hour material by Alexander Amini.
Explore deep learning's limitations and new frontiers in this concise MIT lecture, covering topics from adversarial attacks to AutoML. Less than 1-hour workload.
Dive into Deep Reinforcement Learning with MIT's Alexander Amini. Understand Q functions, Deep Q Networks, policy learning, and real-life applications in under an hour.
Dive into deep generative modeling with this MIT lecture, covering topics from autoencoders to generative adversarial networks. Less than 1-hour workload.
Dive into Convolutional Neural Networks for Computer Vision with MIT's Alexander Amini. Learn feature extraction, non-linearity, and applications in under an hour.
Dive into deep learning with MIT's concise material on Recurrent Neural Networks, covering sequence modeling, LSTM, and RNN applications in under an hour.
Dive into machine learning with MIT's short program, featuring a Google Brain guest lecture. Explore data visualization, high dimensionality, and language systems.
Dive into Deep Learning with MIT's less than 1-hour material on Image Domain Transfer, featuring a guest lecture from NVIDIA. Explore neural networks, artistic style transfer, and more.
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