kaan
Kaan

Ai Data Science

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#2
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools
  • Jeroen Janssens
00 reads
#3
Veri Bilimi
Veri Bilimi
  • John D. Kelleher
  • Brendan Tierney
  • Onur Öztürk (Translator)
00 reads
#4
Çıplak İstatistik
Çıplak İstatistik
  • Charles Wheelan
00 reads
#5
Cover 0

The Hundred-Page Machine Learning Book

The Hundred-Page Machine Learning Book
  • Andriy Burkov
49 reads
#6
Natural Language Processing With Python
Natural Language Processing With Python
  • Edward Loper
41 read
#7
Python Data Science Handbook
Python Data Science Handbook
  • Jake VanderPlas
42 reads
#8
The Art of Statistics
The Art of Statistics
  • David Spiegelhalter
3.813 reads
#9
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Aurélien Géron
57 reads
#10
AI and Machine Learning for Coders
AI and Machine Learning for Coders
  • Laurence Moroney
00 reads
#11
Cover 6

Introducing Mlops

Introducing Mlops: How to Scale Machine Learning in the Enterprise
  • CL Stenac, Nicolas Omont, Mark Treveil
00 reads
#12
Practical Statistics for Data Scientists
Practical Statistics for Data Scientists
  • Peter Bruce
  • Andrew Bruce
00 reads
#13
Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems
Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems
  • Sowmya Vajjala
  • Bodhisattwa Majumder
  • Anuj Gupta
  • Harshit Surana
00 reads
#14
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
  • Jeremy Howard
  • Sylvain Gugger
02 reads
#15
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
  • Valliappa Lakshmanan
  • Sara Robinson
  • Michael Munn
01 read
#16
Storytelling with Data: A Data Visualization Guide for Business Professionals
Storytelling with Data: A Data Visualization Guide for Business Professionals
  • Cole Nussbaumer Knaflic
4.3328 reads
#17
Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning
  • Christopher M. Bishop
3.675 reads
#18
Artificial intelligence
Artificial intelligence
  • Stuart Russell
  • Peter Norvig
3.914 reads
#19
Deep Learning for NLP and Speech Recognition
Deep Learning for NLP and Speech Recognition
  • Uday Kamath
  • John Liu
  • James Whitaker
00 reads
#20
Practical Statistics for Data Scientists: 50 Essential Concepts
Practical Statistics for Data Scientists: 50 Essential Concepts
  • Peter Bruce
  • Andrew Bruce
  • Peter Gedeck
00 reads
#21
Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
  • Hadrien Jean
41 read
#22
Cover 8

Fundamentals of Data Engineering

Fundamentals of Data Engineering: Plan and Build Robust Data Systems
  • Joe Reis
  • Matt Housley
47 reads
#23
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
  • Claus O. Wilke
00 reads
#24
Machine Learning Simplified: A Gentle Introduction to Supervised Learning
Machine Learning Simplified: A Gentle Introduction to Supervised Learning
  • Andrew Wolf
00 reads
#25
Python for Data Analysis
Python for Data Analysis
  • Wes McKinney
4.3311 reads
#26
Süper Zekâ: Yapay Zekâ Uygulamaları, Tehlikeler ve Stratejiler
Süper Zekâ: Yapay Zekâ Uygulamaları, Tehlikeler ve Stratejiler
  • Nick Bostrom
  • Ferit Burak Aydar (Translator)
00 reads
#27
Probabilistic Machine Learning: An Introduction
Probabilistic Machine Learning: An Introduction
  • Kevin P. Murphy
00 reads
#28
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
  • Chip Huyen
32 reads
#29
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
  • Eric Redmond
  • Jim R. Wilson
3.55 reads
#30
Machine Learning System Design Interview
Machine Learning System Design Interview
  • Ali Aminian
  • Alex Xu
00 reads
#31
An Introduction to Statistical Learning
An Introduction to Statistical Learning
  • Daniela Witten
  • Trevor Hastie
  • Robert Tibshirani
  • Gareth James
3.6710 reads
#32
Cover 7

Introduction to Time Series Analysis and Forecasting

Introduction to Time Series Analysis and Forecasting
  • Douglas C. Montgomery
  • Cheryl L. Jennings
  • Murat Kulahci
00 reads
#33
Probability
Probability
  • Jim Pitman
41 read
#34
Outlier Analysis
Outlier Analysis
  • Charu C. Aggarwal
00 reads
#35
Recommender Systems: The Textbook
Recommender Systems: The Textbook
  • Charu C. Aggarwal
00 reads
#36
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
  • Dan Jurafsky
  • James H. Martin
02 reads
#37
Introduction to Information Retrieval
Introduction to Information Retrieval
  • Christopher D. Manning
  • Prabhakar Raghavan
  • Hinrich Schütze
00 reads
#38
Machine Learning: A Probabilistic Perspective
Machine Learning: A Probabilistic Perspective
  • Kevin P. Murphy
03 reads
#39
Probabilistic Graphical Models: Principles and Techniques
Probabilistic Graphical Models: Principles and Techniques
  • Daphne Koller
  • Nir Friedman
00 reads
#40
Foundations of Statistical Natural Language Processing
Foundations of Statistical Natural Language Processing
  • Christopher Manning
  • Hinrich Schutze
51 read
#41
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
  • Richard McElreath
4.674 reads
#42
Introduction to Machine Learning
Introduction to Machine Learning
  • Ethem Alpaydin
03 reads
#43
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
  • Tobias Zwingmann
00 reads
#44
The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight
The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight
  • Sandeep Uttamchandani
00 reads
#45
Machine Learning Interviews
Machine Learning Interviews
  • Susan Shu Chang
00 reads
#46
Deep Learning
Deep Learning
  • Ian Goodfellow
  • Yoshua Bengio
  • Aaron Courville
4.610 reads
#47
Deep Learning with Python
Deep Learning with Python
  • Francois Chollet
54 reads
#48
Lean Analytics
Lean Analytics
  • Alistair Croll
  • Benjamin Yoskovitz
3.8313 reads
#49
Cover 5

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age
  • Harvard Business Review
  • Micheal E. Porter
  • Thomas H. Davenport
  • Paul Daugherty
  • H. James Wilson
00 reads
#50
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
  • Andrew P. McMahon
00 reads
#51
Hands-On Large Language Models
Hands-On Large Language Models
  • Jay Alammar
  • Maarten Grootendorst
00 reads