Abdul Qayyum

A Case Study Approach! By joining this course, i’ve taken a first step in becoming a machine learning expert. Will learn a broad range of machine learning methods for deriving intelligence from data, and by the end of the course will be able to implement actual intelligent applications. These applications will allow me to perform predictions, personalized recommendations and retrieval, and much more. Will delve deeper into the methods and algorithms, giving the power to develop and deploy new machine learning services. will walk you through Python implementations of intelligent applications for: Predicting house prices Analyzing the sentiment of product reviews Retrieving Wikipedia articles Recommending songs Classifying images with deep learning

cutting edge of AI, deep learning engineers are highly sought after. Learning objectives: 1. Understand the major technology trends driving Deep Learning 2. Be able to build, train and apply fully connected deep neural networks 3. Know how to implement efficient neural networks 4. Understand the key parameters in a neural architecture This course also teaches how Deep Learning actually works, rather than presenting only a cursory or surface-level description.

The Bachelor of Science in Computer Science (BSCS) program focuses on the concepts and techniques used in the design and development of advanced software systems. Students in this program explore the conceptual underpinnings of Computer Science -- its fundamental algorithms, programming languages, operating systems, and software engineering techniques. In addition, students choose from a rich set of electives that includes » data science, computer graphics, artificial intelligence, database systems, computer architecture, and computer networks, among other topics. As with the introductory sequence, these advanced courses stress "hands-on" learning by doing