✅ A comprehensive playlist to step into and master the world of machine learning and data science!1️⃣ Data Science Principles:😉 Essential Mathematics for Machine Learning:
Link😉 Overview and commonly used terms:
Link😉 Current interview trends:
Link😉 Linear Regression Guide:
Link😉 Logistic Regression Playlist:
Link😉 Classification criteria:
Link😉 Simple Bayes Classifier:
Link😉 Types of variables:
Link😉 Dimension reduction:
Link😉 Entropy, mutual entropy, KL divergence:
link😉 Dynamic Pricing Overview:
Link2️⃣ Building recommender systems:😉 Netflix Calibrated Recommendations:
Link😉 Netflix Integrated Recommendation Model:
Link😉 The Evolution of Recommender Systems:
Link😉 Embedding tutorial:
Link😉 Annoy library for approximate nearest neighbor:
link😉 Reducer product for ANN:
Link😉 Model-based account recommendations:
Link😉 PID controller for diversity:
link😉 Instagram Recommender System:
Link😉 LinkedIn CTR Modeling:
Link😉 Meituan's two-tower recommendation model:
Link😉 Scalable Two Tower Model Question-Item:
Link😉 Twitter Recommender Algorithm:
Link😉 eBay language model for recommender system:
link😉 Overcoming biases for recommender systems:
Link3️⃣ Advanced Model Techniques and Applications:😉 Importance of Model Calibration:
Link😉 Detect and monitor data changes:
Link😉 Neural Networks Training:
Link😉 Analytics-based advertising with Pinterest:
Link😉 Using Pre-trained Bert:
Link😉 Model Compression with Knowledge Distillation:
Link😉 Multi-Armed Bandit Strategies:
Link4️⃣ The world of large language models (LLMs):😉 Conversational AI:
Link😉 The dual nature of conversational language models:
link😉 Frontier Developments in LLM:
Link😉 Improving the performance of open source LLMs:
Link😉 Building artificial intelligence in Shah Rukh Khan style:
Link📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas
http://t.me/codeprogrammer ⭐️ 