Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU computing, and automatic gradients.Com ...

A beginner’s guide Looking to start your journey into the exciting world of artificial intelligence? Learn the fundamentals of AI … ...

Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & Artificial Intelligence: From Fundamentals to Deployment. The programme will ...

While Microsoft has been doggedly chasing Amazon Web Services (AWS) in the cloud computing arena, the two tech giants have partnered on a new deep learning initiative called Gluon. It's desribed as an ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Social scientists are increasingly adopting machine learning methods to analyze ...