Beginner Guide to Artificial Intelligence & Machine Learning

Free Download Beginner Guide to Artificial Intelligence & Machine Learning
Published 11/2024
Created by Phani Avagaddi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 16h 14m ) | Size: 13.8 GB

An Insight and comprehensive overview of the concepts of AI and ML
What you’ll learn
Introduction to Artificial Intelligence
Introduction to Machine Learning
Understanding the Roles available in AI career path
Planning your career building path in AI and ML specific to the roles
Build a portfolio of work to have on your resume
Supervised and Unsupervised Learning
Learn which Machine Learning model to choose for each type of problem
Learn how to program in Python using the latest Python 3
Learn to pre process data, clean data, and analyze large data
Requirements
Beginners from IT or Non IT any one can watch these videos
AI Enthusiasts who wants to enter into the AI world
Career shifting people who want to know AI and ML
Whoever wants to understand the foundational concepts can watch these sessions
Description
Implement Machine Learning algorithmsHow to improve your Machine Learning ModelsBuild a portfolio of work to have on your resumeSupervised and Unsupervised LearningExplore large datasets using data visualization tools like Matplotlib Learn NumPy and how it is used in Machine LearningLearn to use the popular library Scikit-learn in your projectsLearn to perform Classification and Regression modellingMaster Machine Learning and use it on the jobLearn which Machine Learning model to choose for each type of problemLearn best practices when it comes to Data Science WorkflowLearn how to program in Python using the latest Python 3Learn to pre process data, clean data, and analyze large data.Developer Environment setup for Data Science and Machine LearningA portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks providedReal life case studies and projects to understand how things are done in the real worldGuidance to choose your career path based on your background and build the path in next 6 monthsComprehensive understanding on foundational concepts like Neurons, Perceptron, Multilayer Perceptron, Transformers. Good overview on Convolution Neural Networks and Recurrent Neural Networks
Who this course is for
Fresh Graduates, IT professionals shifting their career to AI path, Non IT domain experties
Homepage

www.udemy.com/course/beginner-guide-to-artificial-intelligence-machine-learning/

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