IBM Deep Learning
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نبذة عن المقرر
The demand for Data Scientists and Deep Learning professionals is booming, far exceeding the supply of personnel skilled in this field. The industry is clearly embracing AI, embedding it within its fabric. The demand for Deep Learning skills by employers -- and the job salaries of Deep Learning practitioners -- are only bound to increase over time, as AI becomes more pervasive in society. Deep Learning is a future-proof career.
Within this series of courses, you’ll be introduced to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning. You’ll then delve deeper and apply Deep Learning by building models and algorithms using libraries like Keras, PyTorch, and Tensorflow. You’ll also master Deep Learning at scale by leveraging GPU accelerated hardware for image and video processing, as well as object recognition in Computer Vision.
Throughout this program you will practice your Deep Learning skills through a series of hands-on labs, assignments, and projects inspired by real world problems and data sets from the industry. You’ll also complete the program by preparing a Deep Learning capstone project that will showcase your applied skills to prospective employers.
This program is intended to prepare learners and equip them with skills required to become successful AI practitioners and start a career in applied Deep Learning.
المدربين
Alex Aklson
Joseph Santarcangelo
Saeed Aghabozorgi
Romeo Kienzler
Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering, Database Administration and Information Integration. Since 2012 he works as a Data Scientist for IBM. He published several works in the field with international publishers and on conferences. His current research focus is on massive parallel data processing architectures. Romeo also contributes to various open source projects.
Samaya Madhavan
Samaya Madhavan is an Advisory Software Engineer with IBM where she currently publishes content that are related to machine learning and deep learning. She is also a full stack software developer, experienced in offering AI based solutions within the healthcare domain. Samaya has her Bachelor of Engineering in Computer Science from College of Engineering, Guindy and her Master of Science in Computer Science from University of Texas at Arlington. She is an ardent learner and a very passionate algorithm solver.