kaan
Kaan

Ai Data Science

Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools
Veri Bilimi
Çıplak İstatistik
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The Hundred-Page Machine Learning Book

Natural Language Processing With Python
Python Data Science Handbook
The Art of Statistics
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
AI and Machine Learning for Coders
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Introducing Mlops

Practical Statistics for Data Scientists
Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Storytelling with Data: A Data Visualization Guide for Business Professionals
Pattern Recognition and Machine Learning
Artificial intelligence
Deep Learning for NLP and Speech Recognition
Practical Statistics for Data Scientists: 50 Essential Concepts
Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
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Fundamentals of Data Engineering

Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Machine Learning Simplified: A Gentle Introduction to Supervised Learning
Python for Data Analysis
Süper Zekâ: Yapay Zekâ Uygulamaları, Tehlikeler ve Stratejiler
Probabilistic Machine Learning: An Introduction
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
Machine Learning System Design Interview
An Introduction to Statistical Learning
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Introduction to Time Series Analysis and Forecasting

Probability
Outlier Analysis
Recommender Systems: The Textbook
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
Introduction to Information Retrieval
Machine Learning: A Probabilistic Perspective
Probabilistic Graphical Models: Principles and Techniques
Foundations of Statistical Natural Language Processing
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Introduction to Machine Learning
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight
Machine Learning Interviews
Deep Learning
Deep Learning with Python
Lean Analytics
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HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Hands-On Large Language Models