Natural Language Processing with Probabilistic Models

Younes Bensouda Mourri is a distinguished AI educator and entrepreneur who has significantly impacted global tech education. Born and raised in Morocco, he earned his B.S. in Applied Mathematics and Computer Science and M.S. in Statistics from Stanford University, where he now teaches Artificial Intelligence both on campus and online. As the founder of LiveTech.AI, he develops AI tools to transform academic institutions, while his courses have reached over 1.3 million learners worldwide, with 23% securing AI-related jobs after completion. His contributions include co-creating Stanford's Applied Machine Learning, Deep Learning, and Teaching AI courses, as well as developing the highly successful Natural Language Processing Specialization for DeepLearning.AI. Starting as a teaching assistant in Andrew Ng's Machine Learning course, he rose to become an Adjunct Lecturer at Stanford by age 22, demonstrating his commitment to democratizing AI education. Through his work with major companies like ASML, CISCO, and Boston Consulting Group, he continues to advance AI education while focusing on developing innovative NLP tools for personalized feedback and chain-of-thought reasoning

Eddy Shyu is a prominent AI Product Manager at Cisco, with a notable background in curriculum development as the former Curriculum Product Manager at DeepLearning.AI. He has played a crucial role in creating approximately 40 online courses focused on artificial intelligence, which have reached over 2 million learners across platforms such as Coursera, DeepLearning.AI, Udacity, and Cisco Networking Academy. Eddy's expertise extends to designing educational content that simplifies complex AI concepts for diverse audiences, ensuring accessibility and engagement in learning. His work includes leading the creation of Andrew Ng’s Machine Learning Specialization, which has become a foundational resource for aspiring AI professionals. With a passion for education and innovation, Eddy continues to shape the future of AI learning and product management, empowering individuals to leverage artificial intelligence effectively in their careers.

Łukasz Kaiser is a prominent instructor at DeepLearning.AI, recognized for his significant contributions to the field of artificial intelligence. As a co-author of TensorFlow, the Tensor2Tensor and Trax libraries, and the influential Transformer paper, he has played a pivotal role in shaping modern AI methodologies. Currently serving as a Staff Research Scientist at Google Brain, Łukasz's research has profoundly impacted the AI community, particularly in the realm of natural language processing (NLP). His courses on Coursera, including "Natural Language Processing with Attention Models" and "Natural Language Processing with Sequence Models," provide learners with essential skills to navigate and implement advanced AI techniques.With a strong academic background and extensive experience in machine learning, Łukasz is dedicated to making complex concepts accessible to students worldwide. He teaches multiple courses in various languages, including French, Russian, Arabic, and Korean, demonstrating his commitment to global education. His work not only enhances the understanding of deep learning but also empowers aspiring data scientists and AI practitioners to develop innovative solutions in their respective fields. Through his engaging teaching style and expert knowledge, Łukasz Kaiser continues to inspire the next generation of AI professionals.