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Autor Tópico: Basics of Chatbots with Machine Learning & Python  (Lida 43 vezes)

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Basics of Chatbots with Machine Learning & Python
« em: 21 de Novembro de 2022, 10:26 »


Published 11/2022
Created by AI Sciences,AI Sciences Team
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lectures ( 3h 2m ) | Size: 1.07 GB
Conversational Chatbots Development with Machine Learning

What you'll learn
•   Learn the about basics of chatbots
•   Learn about the need of chatbots
•   Learn about fundamentals of the types of chatbots specially with respect to rule based and self-learning chatbots
•   Learn the basic machine learning architecture for the chatbots
•   Learn the impact of machine learning technology on chatbots industry
•   Learn the impact and overview of Natural Language Toolkit (NLTK)
•   Learn the text preprocessing and helper function development with python
•   Learn the hands-on practice on text generation with python for chatbot development
•   Learn the hands-on Implementation of term-frequency times inverse document-frequency
•   Learn about the testing and training of chatbot with machine learning
•   And much more.
Requirements
•   No prior knowledge of Chatbots, Machine Learning, Data Analysis or Mathematics is needed. We will start from the basics and gradually build your knowledge in the subject
•   A willingness to learn and practice
•   Only basic Python is required
Description
Comprehensive Course Description:Have you ever wanted to build a simple, easy and efficient chatbot for your business?Do you need an efficient instructor for your education?Are you inspired from Iron Man, and need a Jarvis for you official assistance?If yes! Then this is the course you are looking for.You might have searched for many relevant courses, but this course is different!This course is a complete package for beginners to learn the basics of chatbots with machine learning, its applications and building it from scratch by using machine learning with python. Every module has engaging content covering necessary theoretical concepts with a complete practical approach used along with brief theoretical concepts. At the end of every module, we assign you a quiz, the solution to the quizzes is also available in the next video.We will be starting with the theoretical concepts of chatbots, after providing you with the basic knowledge of chatbots. You will be able to learn about the important fundamental concepts of chatbots which are the basic building blocks of it.This complete package will enable you to learn the basics to advance mechanism of developing chatbots by using machine learning with python. We'll be using Python as a programming language in this course, which is the hottest language nowadays if we talk about machine learning. Python will be taught from elementary level up to an advanced level so that any machine learning concept can be implemented.This comprehensive course will be your guide to learning how to use the power of Python to evaluate your chatbots datasets based on conversational notes, online resources, and websites. Moreover, a practical approach will be adopted to build machine learning oriented conversational chatbots where hands on experience will be developed.We'll learn all the basic and necessary concepts for developing chatbots along with the machine learning models. Moreover, one hands-on projects have been included in this course to develop a very useful experience for yourselves.Machine learning has been ranked as one of the hottest jobs on Glassdoor, and the average salary of a machine learning engineer is over $110,000 in the United States, according to Indeed! Machine Learning is a rewarding career that allows you to solve some of the world's most interesting problems!This course is designed for both beginners with some programming experience and those who know nothing about Data Analysis, ML and Python.This comprehensive course is comparable to other Chatbots Development with Machine Learning courses that usually cost hundreds of dollars, but now you can learn all that information at a fraction of the cost in only one course! With over 3 hours of HD video lectures that are divided into many videos and detailed code notebooks for every address, this is one of the most comprehensive courses for Chatbots Development with Machine Learning on Udemy!Why Should You Enroll in This Course?The course is crafted to help you understand not only the role and impact of chatbots industry in real world applications but it provides a very unique hands on experience on developing complete chatbots for your customized dataset by using various projects. This straightforward learning by doing course will help you in mastering the concepts and methodology with regards to Python.This course is:· Easy to understand.· Expressive and self-explanatory· To the point· Practical with live coding· A complete package with three in depth projects covering complete course contents· Thorough, covering the most advanced and recently discovered machine learning models by renowned data scientists and AI practitionersTeaching Is Our Passion:We focus on creating online tutorials that encourage learning by doing. We aim to provide you with more than a superficial look at practical approach towards developing chatbots using machine learning. For instance, this course has one project in the final module which will help you to see for yourself via experimentation the practical implementation of machine learning with data analysis on the real-world datasets. We have worked extra hard to ensure you understand the concepts clearly. We want you to have a sound understanding of the basics before you move onward to the more complex concepts. The course materials that make certain you accomplish all this include high-quality video content, course notes, meaningful course materials, handouts, and evaluation exercises. You can also get in touch with our friendly team in case of any queries.Course Content:We'll teach you how to program with Python, how to use machine learning concepts to develop chatbots! Here are just a few of the topics that we will be learning:1. Course Overview2. Overview of Chatbots▪ Brief overview of Chatbots▪ Need of Chatbots▪ Types of Chatbots▪ Rule based vs Self Learning Chatbots▪ Working Mechanism of Chatbots3. Machine Learning Based Chatbot▪ Machine Learning Based Architecture of Chatbots▪ Purpose of Machine Learning Based Chatbots▪ Rule of Machine Learning Over Chatbots Industry▪ Impact and Overview of Natural Language Toolkit▪ Rule based Chatbot using NLTK▪ Packages Installation▪ Creating Corpus with Python▪ Text Preprocessing and Helper Function Deployment▪ Generating Responses▪ Implementation of term-frequency times inverse document-frequency▪ Training and Testing of Rule Based Chatbot4. Project 1: Developing an Artificial Intelligence Question-Answering Chatbot using NLTKEnroll in the course and become a chatbots expert today!After completing this course successfully, you will be able to:· Relate the concepts and theories for chatbots in various domains· Understand and implement machine learning models for building real world chatbots· Understand evaluate the machine learning modelsWho this course is for:· People who want to advance their skills in applied machine learning· People who want to master relation of data analysis with machine learning· People who want to build customized chatbots for their applications· People who want to implement machine learning algorithms for chatbots· Individuals who are passionate about rule based and conversational chatbots· Machine Learning Practitioners· Research Scholars· Data Scientists
Who this course is for
•   People who want to advance their skills in applied machine learning
•   People who want to master relation of data analysis with machine learning
•   People who want to build customized chatbots for their applications
•   People who want to implement machine learning algorithms for chatbots
•   Individuals who are passionate about rule based and conversational chatbots
•   Machine Learning Practitioners
•   Research Scholars
•   Data Scientists

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