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Machine Learning

Matrices: A Complete Revision Guide
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Matrices: A Complete Revision Guide # Part 10 of the Learning Quantum Physics series. This is a …
From Eigenvalues to Singular Value Decomposition — How a Matrix Reveals Its Natural Directions, Strengths, and Hidden Simplicity
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From Eigenvalues to Singular Value Decomposition # How a matrix reveals its natural directions, …
One Word, Many Meanings: Understanding Every Kind of Product in Linear Algebra and Quantum Computing
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One Word, Many Meanings: Understanding Every Kind of Product in Linear Algebra and Quantum …
Exploring Reinforcement Learning Concepts: A Comprehensive Guide
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Exploring Reinforcement Learning Concepts # Reinforcement Learning (RL) is a rich and complex field …
Exploring Types of Models
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Understanding Different Types of Models # Introduction # A model is a simplified representation or …
AI ML Project Ideas
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AI Project Ideas # Introduction # In your journey of learning and practicing AI project you may …
Transfer Learning Key AI Techniques Explained
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Transfer Learning Key AI Techniques Explained # In this article we will understand some important …
Machine Learning Key Concepts
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Machine Learning Key Concepts # In this article Essential Machine Learning Techniques/Concepts are …
Automated Machine Learning
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Automated Machine Learning # Is this article for me? # This is article is for you, if you know …
Tensorflow GPU Setup on Local Machine
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Tensorflow GPU Setup on Local Machine # Introduction # Tensorflow, pytorch are deep learning …
MLOps Tools
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MLOps Tools # MLOps (Machine Learning Operations) is a set of practices and tools designed to …
Why to Finetune LLM?
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Finetuning, Fewshot Learning, Why and How? # Why to finetune a LLM? # Fine-tuning a large language …
Dimensionality Reduction and Visualization
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Dimensionality Reduction and Visualization # What are the popular methods of dimensionality …
ML Model Development Framework
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ML Model Development Framework & Model Repositories # Introduction # There are hundreds of …
ML Model Respository from Pinto0309
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ML Model Repository from Pinto0309 # Introduction # Using AI we can solve many kinds of tasks for …
Distances in Machine Learning
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Distances in Machine Learning # Every sample, record, word, sentence, object, image etc in the …
Machine Learning Metrics
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Machine Learning Metrics # Introduction # In Machine Learning projects whether classical machine …
Introduction to ML Model Deployment
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Introduction to AI Model deployment # Big Players # Amazon Amazon has many products and one of …
Types of Machine Learning
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Types of Machine Learning # Introduction # Machine learning is a field of artificial intelligence …
Cost Functions and Optimizers in Machine Learning
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Cost-Functions-and-Optimizers-in-Machine-Learning # What is machine learning? # Machine learning is …
Introduction to Neural Network
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Introduction to Neural Network # Introduction to a Perceptron # A perceptron is a type of …
Linear Regression Interview Questions
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Linear Regression Interview Questions and Answers # In this question-answer article, I will try …
Domain Knowledge in Machine Learning
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Domain Knowledge in Machine Learning # Let’s say the domain is a restaurant kitchen. A dataset with …
Confusion Matrix Bayesian Theorem
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If you are like me then you must have struggled enough to understand the confusion matrix or still …
Folder Structure for ML Project
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Directory Structure for ML Project is critical for any serious data science project. What we learn …
Generalized AI Model for Prediction
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Can we really Develop AI solutions that can predict human behavior? If you are not a technical …
AI ML Resources from My Diary
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
Data Scientists and AI, ML Researchers
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
Machine Learning Tasks and Model Evaluation
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
Machine Learning Framework, Library, Tools
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
AI, ML, DL Blogs Sites
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
AI, ML, Deep Learning, NLP Conferences & Journals
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
How Naive Bayes Classifier Works
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How Naive Bayes Classifier Works? # Naive Bayes classifier example # In this presentation, I am not …
EDA & Feature Engineering 101
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What is EDA? # EDA means Exploratory Data Analysis. The purpose of data analysis is to explore. …
DS, AI, ML Online Course, Tutorial, Videos
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets
Reinforcement Learning Git Repositories
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Resource hubs: Start Here · AI Tools · 800+ Books · Cheatsheets