Global 08
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Impact of Loss Functions on Deep Learning Performance
Introduction to Loss Functions Mean Squared Error (MSE) Mean Absolute Error (MAE) Binary Cross-Entropy Categorical Cross-Entropy Hinge Loss for SVMs Triplet Loss for Face Recognition Choosing the Right Loss Function Conclusion Introduction to Loss Functions Loss functions are a fundamental component of machine learning models,...
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How to Build and Annotate an NLP Corpus Easily
Introduction to NLP and Corpus Definition of a Corpus in NLP Types of Corpora in NLP Monolingual vs. Multilingual Corpora Role of Corpus in Language Processing How to Build a Corpus for NLP Corpus Annotation and Preprocessing Challenges in Data Wrangling Conclusion Introduction to NLP and Corpus Natural Language Processing...
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Master Data Wrangling: Steps, Tools & Techniques
Introduction to Data Wrangling Why is Data Wrangling Important? Steps in Data Wrangling Techniques for Data Cleaning Data Transformation Methods Handling Missing and Duplicate Data Data Wrangling Tools and Technologies Challenges in Data Wrangling Conclusion Introduction to Data Wrangling Data wrangling, also known as data...
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Role of Inference in AI and Machine Learning Explained
Introduction to AI and Inference Definition and Importance of Inference in AI Types of Inference in AI Deductive vs Inductive Inference Bayesian Inference in AI Rule-Based Inference Systems Role of Inference in Machine Learning Logical Reasoning and AI Inference Conclusion Introduction to Artificial Intelligence Artificial...
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Semantic Networks vs Ontologies in AI Knowledge Models
Introduction to Artificial Intelligence Definition of Semantic Networks History and Evolution of Semantic Networks Components of a Semantic Network Types of Semantic Networks How Semantic Networks Represent Knowledge Applications of Semantic Networks in AI Semantic Networks vs Ontologies Challenges in Implementing Semantic...
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Data Science for Non-Tech Students: A Beginner’s Guide
Introduction What is Data Science? Can Non-Tech Students Pursue Data Science? Essential Skills for Data Science How Non-Tech Students Can Transition into Data Science Tips for Non-Tech Students Starting in Data Science Common Challenges and How to Overcome Them Conclusion Introduction In recent years, Data Science has emerged as...
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The Power of Python’s Pass Keyword for Syntactical Flexibility
Introduction What is the pass Keyword in Python? Why Would You Use pass? Basic Syntax of pass Common Use Cases for pass Example: Using pass in Python When to Avoid Using pass Conclusion Introduction For individuals who are unfamiliar with Python, the keyword pass may appear perplexing at first. It is challenging to comprehend...
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Beginner’s Guide to State Space Search in AI
Introduction to State Space Search What is a State Space? Components of State Space Search Types of State Space Search Algorithms Breadth-First Search (BFS) and Depth-First Search (DFS) Heuristic Search and A Algorithm* Applications of State Space Search in AI Challenges and Future of State Space Search Conclusion Introduction to...
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Streamlit Tutorial for Data Science Projects
Introduction What is Streamlit? Why Choose Streamlit for Web Development? Streamlit Installation and Setup Key Features of Streamlit Creating Your First Streamlit App Advanced Streamlit Features Deployment of Streamlit Apps Conclusion Introduction In today's world, where interactive data visualization and web-based applications...
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Master Excel Formulas for Smarter Data Analysis
Introduction to Excel Formulas Basic Arithmetic Formulas Logical Functions (IF, AND, OR) Lookup and Reference Functions (VLOOKUP, HLOOKUP, INDEX, MATCH) Text Functions (LEFT, RIGHT, MID, CONCATENATE, LEN) Date and Time Functions (TODAY, NOW, DATEDIF) Statistical Functions (AVERAGE, COUNT, MAX, MIN) Best Practices for Using Excel Formulas...
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