Advanced
Overview & Prerequisites
If you have a foundational grasp of Calculus concepts such as gradient descent and differentiation, matrices, some experience with Python, and an interest in how A.I. technologies work, then these courses are the perfect match for you. In the Deep Learning Specialization by Coursera, Andrew Ng, a pioneer of the modern Artificial Intelligence field, walks you step-by-step through building your own advanced intelligent systems. At the end of the five-course specialization, you will have a solid grasp of important A.I. concepts such as Stochastic Gradient Descent, Regularization, and Transfer Learning while knowing how to create your own Convolutional Neural Networks, Sequential models, and various other technologies.
Once you’ve understood the building blocks behind the most important concepts and methodologies in Artificial Intelligence, feel free to explore any of the courses below, which delve into specific applications of Machine Learning in Natural Language Processing, Generative Adversarial Networks, or Financial Models.
Natural Language Processing Specialization
Taught by Younes Bensouda Mourri, the Instructor of A.I. at Stanford University, this course teaches us how Machine Learning algorithms are used to process huge amounts of raw text data. With the advent of social networks such as Twitter, Facebook, and Instagram, Natural Language Processing has become ever-so useful when identifying trends in public opinion regarding anything from products to legislation.
Project: Create Chatbot with Python & Artificial Intelligence
Generative Adversarial Networks (GANs) Specialization
From image generation to synthetic data, Generative Adversarial Networks (or GANs) are playing an increasingly prominent role in modern technology. In this specialization, Dr. Sharon Zhou, an adjunct professor at Stanford University teaches you to build these powerful tools, where to use them, and how to troubleshoot problems that these experimental models still face.
Project: How to Develop a GAN for Generating MNIST Handwritten Digits
Machine Learning for Trading Specialization
As technology has improved over time, the financial sector has often been one of the earliest sectors to adopt new and innovative technology. Successful high-frequency trading firms (or HFT firms), such as Two Sigma and Citadel, use algorithmic techniques to perform lightning-fast trades. This course, led by the Curriculum Director at the New York Institute of Finance Jack Farmer, delves into creating your own models to perform in the stock market.