#2 | Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools | 0 | 0 reads |
#3 | Veri Bilimi - John D. Kelleher
- Brendan Tierney
- Onur Öztürk (Translator)
| 0 | 0 reads |
#4 | | 0 | 0 reads |
#5 | | 2 | 2 reads |
#6 | Natural Language Processing With Python | 0 | 0 reads |
#7 | Python Data Science Handbook | 4 | 1 read |
#8 | | 4 | 6 reads |
#9 | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | 5 | 4 reads |
#10 | AI and Machine Learning for Coders | 0 | 0 reads |
#11 |  Introducing Mlops Introducing Mlops: How to Scale Machine Learning in the Enterprise - CL Stenac, Nicolas Omont, Mark Treveil
| 0 | 0 reads |
#12 | Practical Statistics for Data Scientists | 0 | 0 reads |
#13 | Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems - Sowmya Vajjala
- Bodhisattwa Majumder
- Anuj Gupta
- Harshit Surana
| 0 | 0 reads |
#14 | | 0 | 0 reads |
#15 | Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps - Valliappa Lakshmanan
- Sara Robinson
- Michael Munn
| 0 | 0 reads |
#16 | Storytelling with Data: A Data Visualization Guide for Business Professionals | 4.32 | 28 reads |
#17 | Pattern Recognition and Machine Learning | 4 | 2 reads |
#18 | Artificial intelligence - Stuart Russell
- Peter Norvig
| 3.89 | 12 reads |
#19 | Deep Learning for NLP and Speech Recognition - Uday Kamath
- John Liu
- James Whitaker
| 0 | 0 reads |
#20 | Practical Statistics for Data Scientists: 50 Essential Concepts - Peter Bruce
- Andrew Bruce
- Peter Gedeck
| 0 | 0 reads |
#21 | Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics | 4 | 1 read |
#22 | | 4 | 7 reads |
#23 | Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures | 0 | 0 reads |
#24 | Machine Learning Simplified: A Gentle Introduction to Supervised Learning | 0 | 0 reads |
#25 | | 4.33 | 6 reads |
#26 | Süper Zekâ: Yapay Zekâ Uygulamaları, Tehlikeler ve Stratejiler - Nick Bostrom
- Ferit Burak Aydar (Translator)
| 0 | 0 reads |
#27 | Probabilistic Machine Learning: An Introduction | 0 | 0 reads |
#28 | Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications | 0 | 1 read |
#29 | Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement - Eric Redmond
- Jim R. Wilson
| 3.5 | 4 reads |
#30 | Machine Learning System Design Interview | 0 | 0 reads |
#31 | An Introduction to Statistical Learning - Daniela Witten
- Trevor Hastie
- Robert Tibshirani
- Gareth James
| 4.25 | 7 reads |
#32 | | 0 | 0 reads |
#33 | | 4 | 1 read |
#34 | | 0 | 0 reads |
#35 | Recommender Systems: The Textbook | 0 | 0 reads |
#36 | Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition - Dan Jurafsky
- James H. Martin
| 0 | 2 reads |
#37 | Introduction to Information Retrieval - Christopher D. Manning
- Prabhakar Raghavan
- Hinrich Schütze
| 0 | 0 reads |
#38 | Machine Learning: A Probabilistic Perspective | 0 | 3 reads |
#39 | Probabilistic Graphical Models: Principles and Techniques - Daphne Koller
- Nir Friedman
| 0 | 0 reads |
#40 | Foundations of Statistical Natural Language Processing - Christopher Manning
- Hinrich Schutze
| 5 | 1 read |
#41 | Statistical Rethinking: A Bayesian Course with Examples in R and Stan | 0 | 1 read |
#42 | Introduction to Machine Learning | 0 | 3 reads |
#43 | AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning | 0 | 0 reads |
#44 | The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight | 0 | 0 reads |
#45 | Machine Learning Interviews | 0 | 0 reads |
#46 | Deep Learning - Ian Goodfellow
- Yoshua Bengio
- Aaron Courville
| 4.6 | 10 reads |
#47 | Deep Learning with Python | 5 | 3 reads |
#48 | Lean Analytics - Alistair Croll
- Benjamin Yoskovitz
| 4.1 | 11 reads |
#49 | | 0 | 0 reads |
#50 | Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples | 0 | 0 reads |
#51 | Hands-On Large Language Models - Jay Alammar
- Maarten Grootendorst
| 0 | 0 reads |