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ANON STUDIOS 254
Exploring AI / ML / DL Quizzes
Day 1
Introduction to AI, ML, and DL
Day 2
Fundamentals of Machine Learning
Day 3
Introduction to Python and NumPy
Day 4
Exploratory Data Analysis (EDA)
Day 5
Linear Regression
Day 6
Logistic Regression
Day 7
Decision Trees
Day 8
Random Forests
Day 9
Support Vector Machines (SVMs)
Day 10
K-Nearest Neighbors (KNN)
Day 11
Clustering Algorithms
Day 12
Dimensionality Reduction
Day 13
Introduction to Deep Learning
Day 14
Convolutional Neural Networks (CNNs)
Day 15
Recurrent Neural Networks (RNNs)
Day 16
Generative Adversarial Networks (GANs)
Day 17
Reinforcement Learning
Day 18
Unsupervised Learning Techniques
Day 19
Model Evaluation and Optimization
Day 20
Intro to Natural Language Processing
Day 21
Text Preprocessing & Feature Engineering
Day 22
Classical NLP Algorithms
Day 23
Deep Learning for NLP
Day 24
Named Entity Recognition (NER)
Day 25
Text Generation
Day 26
Question Answering
Day 27
Dialogue Systems and Chatbots
Day 28
Multilingual NLP
Day 29
NLP Applications in the Real World
Day 30
Ethical Considerations in NLP
Day 31
Introduction to Large Language Models (LLMs)
Day 32
The Transformer Architecture
Day 33
The Attention Mechanism
Day 34
Pre-training and Fine-tuning
Day 35
Prompt Engineering Techniques
Day 36
RLHF (Reinforcement Learning from Human Feedback)
Day 37
Embeddings and Vector Databases
Day 38
Evaluating LLMs and Metrics
Day 39
Hallucinations, Bias, and Ethics in LLMs
Day 40
Open-Source vs. Proprietary LLMs
Day 41
The Future of LLMs and Agents
Day 42
Introduction to Computer Vision
Day 43
Digital Image Processing Basics
Day 44
Convolutional Neural Networks (CNNs)
Day 45
Object Detection
Day 46
Image Segmentation
Day 47
Facial Recognition and Biometrics
Day 48
Generative AI in Computer Vision (GANs & Diffusion)
Day 49
Video Analysis and Action Recognition
Day 50
3D Computer Vision and Point Clouds
Day 51
Ethics, Bias, and Deepfakes in CV
Day 52
Introduction to Audio Processing
Day 53
Spectrograms and Audio Features
Day 54
Automatic Speech Recognition (ASR)
Day 55
Text-to-Speech (TTS) Synthesis
Day 56
WaveNet and Autoregressive Audio Models
Day 57
Transformers in Audio (Whisper & Wav2Vec)
Day 58
Music Generation and Composition AI
Day 59
Voice Cloning and Conversion
Day 60
Audio Source Separation
Day 61
Ethics, Deepfakes, and Audio Forensics
Day 62
AI Agents
Day 63
Model Context Protocol (MCP)
