• Post category:StudyBullet-16
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Create new Artificial Intelligence applications using Python.

What you will 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.

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.


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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.

English
language

Content

Artificial Intelligence With Python – Beginner Level

Introduction to Course
Download Anaconda Navigator
Set up and Installation
Numpy in Jupyter Notebook
Array Function
Numpy indexing and Selection
Filter Function
Python Libraries for Visualization
Python Libraries for Visualization Continued
Matpotlib Library and its Users
Matpotlib Library and its Users Continued
Plotting of Data
Seaborn Package for Visualization
Seaborn Package for Visualization Continued
Scatter Plots
Scatter Plots Continued
Seaborn Libraries and its Implication

Artificial Intelligence With Python – Intermediate Level

Introduction to Course
Python for AI
What is Machin Learning
Data Processing Effort
What is Meaning of Bias
Bias vs Variance Tradeoff
Model Evolution
Scikit Learn
Loading the Data
Checking the Visualization
Predict
Data Values
Applying Dimensionality Reduction
Model Selection
Neighbors Classifier
Accuracy of Classifier
ML Classification Hindson
Statistical Analysis of the Dataset
Import Label Encoder
Accuracy Score
Multilayer Perceptron
Multilayer Perceptron Continued
Number of Clusters
Multiple Method
Keras-Pytorch and Tensorflow
Working on Jupyter Notebook
Binary Classification
Use Markdown Headings
Pyplot