Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.80 GB | Duration: 6h 58m
Create new Artificial Intelligence applications using Python.
What you'll learn
Apply AI in business applications
Understand the concept of Explainable AI
Build, train, deploy AI models in business
Learn about Artificial Intelligence and related technologies with practical examples and information.
Requirements
Computer and internet connection.
No programming experience needed. We will show everything you need to know
Description
Are you prepared for the AI revolution? Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function - from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge. AI with Python is a thoughtfully created course designed specifically for business people and does not require any programming. Through this course you will learn about the current state of AI, how it's disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it's necessary for you to have a high-level overview of these topics in today's data-driven world. We will also provide you with multiple practical case studies towards the end of the course that will test your understanding and add context to all that you've studied. By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. Artificial intelligence (AI) is one of the top tech fields to be in right now! Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage. From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AI’s reach is extensive.
Overview
Section 1: Artificial Intelligence With Python - Beginner Level
Lecture 1 Introduction to Course
Lecture 2 Download Anaconda Navigator
Lecture 3 Set up and Installation
Lecture 4 Numpy in Jupyter Notebook
Lecture 5 Array Function
Lecture 6 Numpy indexing and Selection
Lecture 7 Filter Function
Lecture 8 Python Libraries for Visualization
Lecture 9 Python Libraries for Visualization Continued
Lecture 10 Matpotlib Library and its Users
Lecture 11 Matpotlib Library and its Users Continued
Lecture 12 Plotting of Data
Lecture 13 Seaborn Package for Visualization
Lecture 14 Seaborn Package for Visualization Continued
Lecture 15 Scatter Plots
Lecture 16 Scatter Plots Continued
Lecture 17 Seaborn Libraries and its Implication
Section 2: Artificial Intelligence With Python - Intermediate Level
Lecture 18 Introduction to Course
Lecture 19 Python for AI
Lecture 20 What is Machin Learning
Lecture 21 Data Processing Effort
Lecture 22 What is Meaning of Bias
Lecture 23 Bias vs Variance Tradeoff
Lecture 24 Model Evolution
Lecture 25 Scikit Learn
Lecture 26 Loading the Data
Lecture 27 Checking the Visualization
Lecture 28 Predict
Lecture 29 Data Values
Lecture 30 Applying Dimensionality Reduction
Lecture 31 Model Selection
Lecture 32 Neighbors Classifier
Lecture 33 Accuracy of Classifier
Lecture 34 ML Classification Hindson
Lecture 35 Statistical Analysis of the Dataset
Lecture 36 Import Label Encoder
Lecture 37 Accuracy Score
Lecture 38 Multilayer Perceptron
Lecture 39 Multilayer Perceptron Continued
Lecture 40 Number of Clusters
Lecture 41 Multiple Method
Lecture 42 Keras-Pytorch and Tensorflow
Lecture 43 Working on Jupyter Notebook
Lecture 44 Binary Classification
Lecture 45 Use Markdown Headings
Lecture 46 Pyplot
Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming,Beginner Python developers who are interested in Artificial Intelligence and Data Science
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.