Immerse yourself in the foundational principles of Natural Language Processing (NLP) in our webinar, "Introduction to Natural Language Processing – Working with Text Data". Unlock the power of NLP techniques and dive into the world of text data analysis. Join us as we explore how NLP is revolutionizing industries and reshaping the future of data-driven decision-making. This is the opportunity to enhance your understanding of NLP and its applications across various domains and discover the endless possibilities it holds for innovation and transformation.
Agenda for the session
- Introduction to Natural Language Processing (NLP)
- Explore text classification, sentiment analysis, and named entity recognition
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Mr. Tasleem Ahmad Muzaffar
Senior Data Scientist, Olympus Corporation of the Americas
Tasleem is a seasoned Data Science professional with over 15 years of experience, currently contributing to innovative advancements at Olympus Corporation of the Americas. With deep expertise in data science, and machine learning, Tasleem is adept in a range of technical tools and languages, including Python, R, etc. and has a strong focus on advanced techniques like deep learning and natural language processing.
No Code AI and Machine Learning Program by MIT Professional Education
No-Code AI is the revolutionary technology that empowers anyone, regardless of technical expertise, to build advanced AI-driven solutions effortlessly, democratizing innovation and accelerating digital transformation. Due to the advent of this technology, professionals skilled in the no-code approach are highly valuable to organizations across industries. In order to help you unlock the power of AI without coding, MIT Professional Education offers the No Code AI and Machine Learning: Building Data Science Solutions Program.
In this 12-week program, you will be able to decode the AI landscape by learning the theory and practical applications of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, computer vision, and more. With the no-code approach, you will learn to leverage the power of AI and Data Science without having to write a line of code.
