Natural Language Processing: The Beginner's Guide (Career Conversations)

🔍 Ever wondered how chatbots, voice assistants, and recommendation systems understand human language? Look no further than Natural Language Processing (NLP)—the technology that enables computers to interpret, generate, and respond to human language. In this installment of Tech Career Conversations, Dakota Nunley chats with Dr. Uohna Thiessen, a leading data scientist and AI strategist, about the fundamentals of NLP, its real-world applications, and how to get started in this exciting field. What You’ll Learn in This Video: What is Natural Language Processing (NLP) and why is it important? Common applications of NLP (chatbots, virtual assistants, search engines, and more) Why NLP is one of the most challenging fields in AI How deep learning has transformed NLP in recent years The impact of Transformer models (like BERT & GPT) on NLP Key NLP concepts: tokenization, sentiment analysis, text classification The role of data pre-processing in building NLP models NLP’s role in virtual assistants, chatbots, and recommendation systems Challenges in NLP: bias, hallucinations, and ethical concerns Beginner-friendly projects & resources to start learning NLP today Whether you’re new to Natural Language Processing (NLP) or looking to expand your AI & machine learning knowledge, this discussion will give you valuable insights into how NLP models work and how to get started. 🔑 Resources & Links: Learn NLP & Machine Learning with Udacity: https://www.udacity.com/ai Kaggle NLP Datasets: https://www.kaggle.com/datasets Google Colab (Free Python Environment): https://colab.research.google.com Deep Learning AI Courses by Andrew Ng: https://www.deeplearning.ai Enjoyed this video? 💙 Like this video if you found it helpful Comment below with your thoughts & questions on NLP Subscribe to Udacity for more AI & Data Science content Turn on notifications so you don’t miss future AI discussions --- Follow Dr. Uohna Thiessen on LinkedIn:   / druohna-datascientist   --- Connect with us on social! 🌐 Instagram:   / udacity   LinkedIn:   / udacity   Facebook:   / udacity   X/Twitter:   / udacity   --- Video Chapters: 00:00 Introductions 02:00 - What is NLP? 03:00 - Common applications of NLP 04:00 - Why is NLP so difficult? 05:00 Foundational Skills for NLP 06:10 How has NLP evolved in recent years? 11:27 Key Concepts in NLP 15:18 The Role of Pre-Processing in NLP 19:13 What makes TikTok’s recommendation system so addictive? 21:13 Challenges and Opportunities in NLP 25:58 Getting Started with NLP 29:00 - How To Stay Up-to-date On NLP #NaturalLanguageProcessing #NLP #AI #MachineLearning #DeepLearning #AIModels #ChatGPT #BERT #TransformerModels #PythonNLP #TextAnalysis #DataScience #Udacity #DakotaNunley #DrUohnaThiessen