Learning the Basics of Artificial Intelligence (AI) using Microsoft Excel
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Learning the Basics of Artificial Intelligence (AI) using Microsoft Excel
Author(s): Usman Zafar Paracha
Year: 2023
Discover the world of Artificial Intelligence (AI) and Machine Learning (ML) through the lens of Microsoft Excel with our comprehensive ebook. Dive deep into the fundamentals of AI, exploring topics such as the difference between Traditional Programming and AI, Abstraction, Action Language, and Adaptive Algorithms.
With a user-friendly approach, this guide covers essential concepts like Linear Regression, k-Nearest Neighbors (k-NN) algorithm, and Bag-of-words model, making it accessible for both beginners and those looking to enhance their AI skills. Learn about Black Box AI, Clustering, and Color Coding Prediction Results to gain practical insights into AI applications.
Explore advanced functionalities of Microsoft Excel, including Conditional Formatting, Heatmaps, and Decision Boundaries, and understand how they can be applied in the realm of AI. Delve into Natural Language Processing, Sentiment Analysis, and Data Mining using Excel functions like CORREL, FIND, and INDIRECT.
This ebook goes beyond theory by providing hands-on examples for Dynamic Adjustments, Highlighting Anomalies, and utilizing decision trees. Gain proficiency in Logic Gates, Expert Systems, and Rule-based Systems to enhance your AI understanding.
Navigate through the intricacies of Data Cleaning, Imputation, and Regression Imputation, and grasp the importance of Knowledge Engineering in the AI landscape. Learn about Machine Learning concepts such as Error-driven Learning, Neural Networks, and Perceptron, all within the familiar environment of Microsoft Excel.
From Tokenization to Natural Language Generation (NLG), this guide covers a wide spectrum of AI topics. Understand the significance of AI Ethics, including beneficence, justice, non-maleficence, privacy, responsibility, and transparency.
Whether you are a student, professional, or AI enthusiast, "Learning the Basics of Artificial Intelligence (AI) using Microsoft Excel" empowers you to apply AI concepts practically, using the tools you already know. Embrace the future of technology and elevate your skills with this indispensable resource.
With a user-friendly approach, this guide covers essential concepts like Linear Regression, k-Nearest Neighbors (k-NN) algorithm, and Bag-of-words model, making it accessible for both beginners and those looking to enhance their AI skills. Learn about Black Box AI, Clustering, and Color Coding Prediction Results to gain practical insights into AI applications.
Explore advanced functionalities of Microsoft Excel, including Conditional Formatting, Heatmaps, and Decision Boundaries, and understand how they can be applied in the realm of AI. Delve into Natural Language Processing, Sentiment Analysis, and Data Mining using Excel functions like CORREL, FIND, and INDIRECT.
This ebook goes beyond theory by providing hands-on examples for Dynamic Adjustments, Highlighting Anomalies, and utilizing decision trees. Gain proficiency in Logic Gates, Expert Systems, and Rule-based Systems to enhance your AI understanding.
Navigate through the intricacies of Data Cleaning, Imputation, and Regression Imputation, and grasp the importance of Knowledge Engineering in the AI landscape. Learn about Machine Learning concepts such as Error-driven Learning, Neural Networks, and Perceptron, all within the familiar environment of Microsoft Excel.
From Tokenization to Natural Language Generation (NLG), this guide covers a wide spectrum of AI topics. Understand the significance of AI Ethics, including beneficence, justice, non-maleficence, privacy, responsibility, and transparency.
Whether you are a student, professional, or AI enthusiast, "Learning the Basics of Artificial Intelligence (AI) using Microsoft Excel" empowers you to apply AI concepts practically, using the tools you already know. Embrace the future of technology and elevate your skills with this indispensable resource.
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