riversongs Posted April 25 Report Share Posted April 25 Free Download Assembling A Basic Machine Learning Chatbot From The GroundPublished 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 373.15 MB | Duration: 0h 51mBuilding Intelligent Conversational Agents: Crafting a Basic Machine Learning Chatbot from ScratchWhat you'll learnDevelop proficiency in building and tokenizing chat data for machine learning applications.Acquire skills to effectively clean and preprocess data tailored for machine learning tasks.Master the techniques required to construct and train TensorFlow models specifically designed for chat data.Gain hands-on experience in assembling a functional chatbot through the integration of data preparation and model training methodologies.RequirementsNo specific requirements or prerequisitesDescriptionWelcome to "Assembling a Basic Machine Learning Chatbot from the Ground Up" - an immersive journey into the world of intelligent conversational agents powered by machine learning techniques. Led by expert instructors, this comprehensive course is meticulously designed to equip you with the fundamental skills necessary to develop your very own chatbot from scratch.Our curriculum begins by emphasizing the crucial role of data in machine learning applications and guides you through the process of gathering and preparing chat data. You'll learn effective strategies for sourcing relevant conversations and structuring them in a format conducive to training your chatbot.As we progress, we'll delve into the nuances of data cleaning and processing tailored specifically for machine learning tasks. From handling noisy data to addressing missing values and preprocessing text, you'll acquire essential techniques to ensure optimal performance during the modeling phase.The heart of the course lies in building and training a TensorFlow model for your chatbot. Through hands-on exercises, you'll gain practical experience in constructing neural networks optimized for natural language processing tasks. Leveraging TensorFlow's powerful functionalities, you'll develop a robust chatbot model capable of engaging users and providing valuable insights.Throughout the course, you'll encounter practical exercises and real-world examples that reinforce your understanding of each concept. By the journey's end, you'll possess the knowledge and confidence to assemble your very own basic machine learning chatbot, primed to interact intelligently with users and enhance their experience.Whether you're a novice in the realm of machine learning or an experienced developer seeking to expand your skill set, this course offers a solid foundation for creating interactive and engaging chatbots. Join us on this transformative adventure and unlock the full potential of machine learning in crafting conversational agents that captivate and inform. Your journey awaits!OverviewSection 1: Build and tokenize chat dataLecture 1 01 Build patterns and responses training dataLecture 2 02 Tokenize chat data for trainingSection 2: 02 Clean and process data for machine learningLecture 3 01 Clean chat data for machine learningLecture 4 02 Build bag of words for ML modelLecture 5 03 Split data for machine learningSection 3: Build and train TensorFlow model on chat dataLecture 6 01 Build a TensorFlow machine learning model for chatLecture 7 02 Test chatbot machine learning modelLecture 8 03 Categorize chat question with MLLecture 9 04 Pick a chatbot response in top categoryLecture 10 Bonus LectureAbsolute BeginnersHomepagehttps://www.udemy.com/course/assembling-a-basic-machine-learning-chatbot-from-the-ground/Download ( Rapidgator )https://rg.to/file/e5701e7ebdbbf51ebcefc51e3dbacf3b/zhbbm.Assembling.A.Basic.Machine.Learning.Chatbot.From.The.Ground.rar.htmlUploadgighttps://uploadgig.com/file/download/78dfbcc1cf3c0DCb/zhbbm.Assembling.A.Basic.Machine.Learning.Chatbot.From.The.Ground.rarFikperhttps://fikper.com/wydLEOca3T/zhbbm.Assembling.A.Basic.Machine.Learning.Chatbot.From.The.Ground.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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