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Books like PYTHON FOR DATA ANALYSIS

Confident Data Skills
by Kirill Eremenko • 2018
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
4.12
211
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics📈 Data Visualization🧹 Data Preparation
Confident Data Skills Summary
Confident Data Skills 94%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics📈 Data Visualization🧹 Data Preparation
Numsense! Data Science for the Layman
by Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
622
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics📊 Data-Driven Decisions📘 Technical Primers
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 94%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics📊 Data-Driven Decisions📘 Technical Primers
Predictive Analytics For Dummies
by Anasse Bari • 2013
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
3.74
111
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides🧹 Data Preparation🧩 Clustering
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 93%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides🧹 Data Preparation🧩 Clustering
A Common-Sense Guide to Data Structures and Algorithms
by Jay Wengrow • 2017
The algorithm knowledge that turns working code into fast code, explained without the math degree.
4.39
603
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking🔧 Practical Algorithms⚡ Performance Optimization
A Common-Sense Guide to Data Structures and Algorithms Summary
A Common-Sense Guide to Data Structures and Algorithms 93%
The algorithm knowledge that turns working code into fast code, explained without the math degree.
by Jay Wengrow 2017
4.39
603 ratings
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking🔧 Practical Algorithms⚡ Performance Optimization
Data Science
by John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
876
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling🧩 Unsupervised Learning⚖️ Data Ethics
Data Science Summary
Data Science 93%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling🧩 Unsupervised Learning⚖️ Data Ethics
Once Upon an Algorithm
by Martin Erwig • 2017
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
3.63
265
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education🔓 Accessible Algorithms🗄️ Data Structures
Once Upon an Algorithm Summary
Once Upon an Algorithm 93%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 ratings
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education🔓 Accessible Algorithms🗄️ Data Structures
Clean Code in Python
by Mariano Anaya • 2018
Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.
4.09
130
🐍 Python Programming🔨 Software Craftsmanship✅ Code Quality🪶 Pythonic Idioms🧱 Solid Principles
Clean Code in Python Summary
Clean Code in Python 93%
Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.
by Mariano Anaya 2018
4.09
130 ratings
🐍 Python Programming🔨 Software Craftsmanship✅ Code Quality🪶 Pythonic Idioms🧱 Solid Principles
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers🧮 Quantitative Decision Making🔮 Forecasting Methods
Data Smart Summary
Data Smart 92%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers🧮 Quantitative Decision Making🔮 Forecasting Methods
Two Scoops of Django
by Daniel Roy Greenfeld • 2013
Django gets messy fast. The project structure, query rules, and Unix principle that keep it clean.
4.22
260
💻 Python Web Development🧩 Django Framework⚙️ Backend Development✨ Clean Code📁 Project Structure
Two Scoops of Django Summary
Two Scoops of Django 91%
Django gets messy fast. The project structure, query rules, and Unix principle that keep it clean.
by Daniel Roy Greenfeld 2013
4.22
260 ratings
💻 Python Web Development🧩 Django Framework⚙️ Backend Development✨ Clean Code📁 Project Structure
Machine Learning For Absolute Beginners
by Oliver Theobald • 2017
How machine learning algorithms think, from regression to neural networks, no math required.
4.12
474
🧠 Machine Learning🧹 Data Preparation⚖️ Model Evaluation🏷️ Supervised Learning🌳 Decision Trees
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 91%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
🧠 Machine Learning🧹 Data Preparation⚖️ Model Evaluation🏷️ Supervised Learning🌳 Decision Trees
Becoming a Data Head
by Alex J. Gutman • 2021
The critical thinking toolkit for anyone who works with data but never plans to code.
4.18
480
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking🔍 Data Skepticism🤖 Machine Learning Basics
Becoming a Data Head Summary
Becoming a Data Head 91%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking🔍 Data Skepticism🤖 Machine Learning Basics
AI and Machine Learning for Coders
by Laurence Moroney • 2021
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
4.09
108
🤖 Machine Learning🧠 Deep Learning🔵 Tensorflow👁️ Computer Vision💬 Nlp
AI and Machine Learning for Coders Summary
AI and Machine Learning for Coders 91%
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
by Laurence Moroney 2021
4.09
108 ratings
🤖 Machine Learning🧠 Deep Learning🔵 Tensorflow👁️ Computer Vision💬 Nlp
Algorithms
by Panos Louridas • 2020
Twenty steps to find one item in a million, and the hidden logic that runs our world.
4.03
302
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory🔍 Search Algorithms📊 Data Sorting
Algorithms Summary
Algorithms 91%
Twenty steps to find one item in a million, and the hidden logic that runs our world.
by Panos Louridas 2020
4.03
302 ratings
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory🔍 Search Algorithms📊 Data Sorting
Nine Algorithms That Changed the Future
by John MacCormick • 2012
The hidden algorithms behind search and security, and the one problem no machine can solve.
3.89
2k+
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure💻 How Computers Work🕰️ Computer Science History
Nine Algorithms That Changed the Future Summary
Nine Algorithms That Changed the Future 91%
The hidden algorithms behind search and security, and the one problem no machine can solve.
by John MacCormick 2012
3.89
2k+ ratings
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure💻 How Computers Work🕰️ Computer Science History
The Complete Software Developer's Career Guide
by John Sonmez • 2017
One language, one portfolio, one interview strategy: the sequence that turns learners into hires.
4.02
1k+
💼 Software Careers🚪 Breaking Into Tech🎯 Technical Interviews⌨️ Learning To Code🧪 Software Testing
The Complete Software Developer's Career Guide Summary
The Complete Software Developer's Career Guide 91%
One language, one portfolio, one interview strategy: the sequence that turns learners into hires.
by John Sonmez 2017
4.02
1k+ ratings
💼 Software Careers🚪 Breaking Into Tech🎯 Technical Interviews⌨️ Learning To Code🧪 Software Testing
Behind Every Good Decision
by Piyanka Jain • 2014
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
3.60
144
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks📖 Data Literacy🔧 Everyday Analytics
Behind Every Good Decision Summary
Behind Every Good Decision 91%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 ratings
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks📖 Data Literacy🔧 Everyday Analytics
How to Speak Tech
by Vinay Trivedi • 2013
No coding required: the Internet, cloud, databases, and software, translated into business sense.
3.93
204
📖 Tech Literacy🌐 Web Development☁️ Cloud Computing🗄️ Database Management🔄 Agile Methodology
How to Speak Tech Summary
How to Speak Tech 91%
No coding required: the Internet, cloud, databases, and software, translated into business sense.
by Vinay Trivedi 2013
3.93
204 ratings
📖 Tech Literacy🌐 Web Development☁️ Cloud Computing🗄️ Database Management🔄 Agile Methodology
14 Habits of Highly Productive Developers
by Zeno Rocha • 2020
Fourteen habits for developers who want to stop sprinting and start compounding.
4.00
723
🖥️ Software Engineering💼 Software Careers🧱 Code Craftsmanship📚 Continuous Learning📣 Learning In Public
14 Habits of Highly Productive Developers Summary
14 Habits of Highly Productive Developers 91%
Fourteen habits for developers who want to stop sprinting and start compounding.
by Zeno Rocha 2020
4.00
723 ratings
🖥️ Software Engineering💼 Software Careers🧱 Code Craftsmanship📚 Continuous Learning📣 Learning In Public
Computational Thinking
by Peter J. Denning • 2019
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
3.63
304
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking⚙️ Software Engineering🧠 Algorithmic Thinking
Computational Thinking Summary
Computational Thinking 90%
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
by Peter J. Denning 2019
3.63
304 ratings
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking⚙️ Software Engineering🧠 Algorithmic Thinking
AI in the Financial Markets
by Federico Cecconi • 2023
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading📊 Quantitative Finance📡 Alternative Data
AI in the Financial Markets Summary
AI in the Financial Markets 90%
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
by Federico Cecconi 2023
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading📊 Quantitative Finance📡 Alternative Data
Why Data Science Projects Fail
by Douglas Gray • 2024
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
5.00
19
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops🧹 Data Quality🔧 Data Engineering
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 90%
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
by Douglas Gray 2024
5.00
19 ratings
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops🧹 Data Quality🔧 Data Engineering
Violent Python
by T.J. O'Connor • 2012
Python for security: build your own port scanners, wireless sniffers, and social engineering bots.
4.04
553
🕵️ Penetration Testing🔍 Digital Forensics🐍 Python For Security📶 Wireless Security🌐 Network Analysis
Violent Python Summary
Violent Python 90%
Python for security: build your own port scanners, wireless sniffers, and social engineering bots.
by T.J. O'Connor 2012
4.04
553 ratings
🕵️ Penetration Testing🔍 Digital Forensics🐍 Python For Security📶 Wireless Security🌐 Network Analysis
Big Data
by Viktor Mayer-Schönberger • 2013
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
3.69
9k+
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data🌐 Quantified World🔗 Correlation Analysis
Big Data Summary
Big Data 90%
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
by Viktor Mayer-Schönberger 2013
3.69
9k+ ratings
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data🌐 Quantified World🔗 Correlation Analysis
Predictive Analytics
by Eric Siegel • 2013
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
3.66
2k+
📊 Data Science🔮 Predictive Analytics📈 Big Data🤖 Machine Learning🧠 Behavioral Prediction
Predictive Analytics Summary
Predictive Analytics 90%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ ratings
📊 Data Science🔮 Predictive Analytics📈 Big Data🤖 Machine Learning🧠 Behavioral Prediction
Web Analytics 2.0
by Avinash Kaushik • 2009
Your web data is lying to you. The framework that turns page views into decisions.
4.13
2k+
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation👥 Customer Intelligence📈 Conversion Optimization
Web Analytics 2.0 Summary
Web Analytics 2.0 90%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ ratings
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation👥 Customer Intelligence📈 Conversion Optimization
The Art of Doing Science and Engineering
by Richard W. Hamming • 1996
What separates great scientists from good ones: they pick better problems.
4.18
2k+
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking🔬 Research Methods🔗 Interdisciplinary
The Art of Doing Science and Engineering Summary
The Art of Doing Science and Engineering 90%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking🔬 Research Methods🔗 Interdisciplinary
Deep Learning
by John D. Kelleher • 2019
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
3.89
473
🔬 Deep Learning🧠 Neural Networks🤖 Machine Learning📘 Ai Fundamentals🔗 Connectionism
Deep Learning Summary
Deep Learning 90%
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
by John D. Kelleher 2019
3.89
473 ratings
🔬 Deep Learning🧠 Neural Networks🤖 Machine Learning📘 Ai Fundamentals🔗 Connectionism
The Model Thinker
by Scott E. Page • 2018
Big data without many models is just noise. The case for thinking through multiple frameworks.
3.92
955
🧠 Mental Models🔄 Systems Thinking🌀 Complexity Science📊 Quantitative Reasoning🕸️ Network Theory
The Model Thinker Summary
The Model Thinker 90%
Big data without many models is just noise. The case for thinking through multiple frameworks.
by Scott E. Page 2018
3.92
955 ratings
🧠 Mental Models🔄 Systems Thinking🌀 Complexity Science📊 Quantitative Reasoning🕸️ Network Theory
Artificial Intelligence and Machine Learning for Business
by Steven Finlay • 2018
ML projects fail for business reasons, not technical ones. The rules for getting it right.
4.14
207
🤖 Machine Learning Basics📊 Predictive Analytics👔 AI For Managers📈 Data-Driven Strategy⚖️ Ethical AI
Artificial Intelligence and Machine Learning for Business Summary
Artificial Intelligence and Machine Learning for Business 90%
ML projects fail for business reasons, not technical ones. The rules for getting it right.
by Steven Finlay 2018
4.14
207 ratings
🤖 Machine Learning Basics📊 Predictive Analytics👔 AI For Managers📈 Data-Driven Strategy⚖️ Ethical AI
How Computers Really Work
by Matthew Justice • 2020
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
4.35
160
🏗️ Computer Architecture⚡ Digital Electronics🧱 Abstraction Layers💻 Computing Fundamentals🔧 How Things Work
How Computers Really Work Summary
How Computers Really Work 90%
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
by Matthew Justice 2020
4.35
160 ratings
🏗️ Computer Architecture⚡ Digital Electronics🧱 Abstraction Layers💻 Computing Fundamentals🔧 How Things Work
Why Study Mathematics?
by Vicky Neale • 2020
A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.
3.97
38
📐 Applied Mathematics🧠 Growth Mindset📊 Data Science➗ Mathematical Thinking📖 Popular Mathematics
Why Study Mathematics? Summary
Why Study Mathematics? 90%
A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.
by Vicky Neale 2020
3.97
38 ratings
📐 Applied Mathematics🧠 Growth Mindset📊 Data Science➗ Mathematical Thinking📖 Popular Mathematics
Clean Code
by Robert C. Martin • 2007
Unreadable code makes every change a gamble. The craft rules for code that stays maintainable.
4.35
24k+
🧹 Code Quality🛠️ Software Craftsmanship♻️ Refactoring🧪 Unit Testing🧩 Object-Oriented Design
Clean Code Summary
Clean Code 90%
Unreadable code makes every change a gamble. The craft rules for code that stays maintainable.
by Robert C. Martin 2007
4.35
24k+ ratings
🧹 Code Quality🛠️ Software Craftsmanship♻️ Refactoring🧪 Unit Testing🧩 Object-Oriented Design
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics📉 Data Visualization🔮 Predictive Analytics
Big Data Summary
Big Data 90%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 ratings
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics📉 Data Visualization🔮 Predictive Analytics
Coders at Work
by Peter Seibel • 2009
Fifteen master programmers on how they think, debug, and design: the craft in their own words.
3.95
5k+
🧑‍💻 Software Engineering🎙️ Developer Interviews🔨 Craft Of Programming🗣️ Polyglot Programming🕵️ Hacker Culture
Coders at Work Summary
Coders at Work 90%
Fifteen master programmers on how they think, debug, and design: the craft in their own words.
by Peter Seibel 2009
3.95
5k+ ratings
🧑‍💻 Software Engineering🎙️ Developer Interviews🔨 Craft Of Programming🗣️ Polyglot Programming🕵️ Hacker Culture
Pluses and Minuses
by Stefan Buijsman • 2018
Three mathematical discoveries run your digital life; understanding them is simpler than you think.
3.41
290
🧮 Applied Mathematics📜 History Of Mathematics🔢 Mathematical Literacy🖥️ Mathematical Modeling🕸️ Network Theory
Pluses and Minuses Summary
Pluses and Minuses 90%
Three mathematical discoveries run your digital life; understanding them is simpler than you think.
by Stefan Buijsman 2018
3.41
290 ratings
🧮 Applied Mathematics📜 History Of Mathematics🔢 Mathematical Literacy🖥️ Mathematical Modeling🕸️ Network Theory
Automate This
by Christopher Steiner • 2012
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
3.82
4k+
📈 Algorithmic Trading🤖 Automation And Society💻 Computational Thinking🏛️ Wall Street History🔮 Future Of Work
Automate This Summary
Automate This 90%
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
by Christopher Steiner 2012
3.82
4k+ ratings
📈 Algorithmic Trading🤖 Automation And Society💻 Computational Thinking🏛️ Wall Street History🔮 Future Of Work
Storytelling with Data
by Cole Nussbaumer Knaflic • 2015
A repeatable process for turning messy spreadsheets into clear charts that drive action.
4.38
8k+
🖥️ Data Visualization💼 Business Communication📊 Data Storytelling👁️ Visual Perception🎤 Presentation Skills
Storytelling with Data Summary
Storytelling with Data 90%
A repeatable process for turning messy spreadsheets into clear charts that drive action.
by Cole Nussbaumer Knaflic 2015
4.38
8k+ ratings
🖥️ Data Visualization💼 Business Communication📊 Data Storytelling👁️ Visual Perception🎤 Presentation Skills
ChatGPT Excel Mastery
by Mr Anand M • 2023
ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.
🧮 Excel Proficiency🤖 Ai Assisted Learning📊 Data Analysis📈 Data Visualization⚙️ Task Automation
ChatGPT Excel Mastery Summary
ChatGPT Excel Mastery 90%
ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.
by Mr Anand M 2023
🧮 Excel Proficiency🤖 Ai Assisted Learning📊 Data Analysis📈 Data Visualization⚙️ Task Automation
What Are ChatGPT and Its Friends?
by Mike Loukides • 2023
A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.
4.00
7
🧬 Generative Ai🤖 Large Language Models⚖️ Ai Ethics📡 Tech Explainers🛠️ Applied Ai
What Are ChatGPT and Its Friends? Summary
What Are ChatGPT and Its Friends? 90%
A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.
by Mike Loukides 2023
4.00
7 ratings
🧬 Generative Ai🤖 Large Language Models⚖️ Ai Ethics📡 Tech Explainers🛠️ Applied Ai
Cryptography
by Keith M. Martin • 2020
Your digital life depends on secret math. Who should be able to break it?
3.96
174
🔒 Digital Security🔐 Encryption👁️ Digital Privacy📐 Applied Mathematics📡 Surveillance
Cryptography Summary
Cryptography 90%
Your digital life depends on secret math. Who should be able to break it?
by Keith M. Martin 2020
3.96
174 ratings
🔒 Digital Security🔐 Encryption👁️ Digital Privacy📐 Applied Mathematics📡 Surveillance
Data Strategy
by Bernard Marr • 2017
Profit from the data firehose: pick the right data, build a company that acts on it.
3.77
418
📊 Data Strategy📈 Business Intelligence💾 Big Data🧮 Analytics🔒 Data Governance
Data Strategy Summary
Data Strategy 90%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
📊 Data Strategy📈 Business Intelligence💾 Big Data🧮 Analytics🔒 Data Governance
Artificial Intelligence For Dummies (For Dummies
by John Paul Mueller • 2018
AI is math, not magic. A plain-English guide to what machine learning can and cannot do.
3.41
242
🤖 Ai For Beginners📖 Ai Literacy🎯 Narrow Ai🧠 Deep Learning⚖️ Ai Ethics
Artificial Intelligence For Dummies (For Dummies Summary
Artificial Intelligence For Dummies (For Dummies 90%
AI is math, not magic. A plain-English guide to what machine learning can and cannot do.
by John Paul Mueller 2018
3.41
242 ratings
🤖 Ai For Beginners📖 Ai Literacy🎯 Narrow Ai🧠 Deep Learning⚖️ Ai Ethics
Game Development Patterns and Best Practices
by John P. Doran • 2017
Design patterns that ship games: when to use each and how they prevent late-stage collapse.
3.90
20
🎮 Game Development🧩 Design Patterns🧹 Clean Code🏗️ Software Architecture⚡ Performance Optimization
Game Development Patterns and Best Practices Summary
Game Development Patterns and Best Practices 90%
Design patterns that ship games: when to use each and how they prevent late-stage collapse.
by John P. Doran 2017
3.90
20 ratings
🎮 Game Development🧩 Design Patterns🧹 Clean Code🏗️ Software Architecture⚡ Performance Optimization
Keeping Up with the Quants
by Thomas H. Davenport • 2013
You hired the quants. Now learn the questions that turn their numbers into decisions.
3.57
585
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking📖 Data Storytelling📋 Evidence-Based Management
Keeping Up with the Quants Summary
Keeping Up with the Quants 90%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 ratings
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking📖 Data Storytelling📋 Evidence-Based Management
The Bestseller Code
by Jodie Archer • 2016
An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.
3.81
1k+
✍️ Novel Writing📊 Text Mining📈 Plot Structure🎢 Emotional Arcs🎯 Character Agency
The Bestseller Code Summary
The Bestseller Code 90%
An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.
by Jodie Archer 2016
3.81
1k+ ratings
✍️ Novel Writing📊 Text Mining📈 Plot Structure🎢 Emotional Arcs🎯 Character Agency
Robin Hood Math
by Noah Giansiracusa • 2025
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
3.91
185
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics📊 Bayesian Reasoning📉 Everyday Statistics
Robin Hood Math Summary
Robin Hood Math 90%
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
by Noah Giansiracusa 2025
3.91
185 ratings
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics📊 Bayesian Reasoning📉 Everyday Statistics
Inside the Black Box
by Rishi K. Narang • 2009
Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.
3.81
188
📊 Quantitative Finance🤖 Algorithmic Trading⚡ High-Frequency Trading🛡️ Risk Management📈 Portfolio Construction
Inside the Black Box Summary
Inside the Black Box 90%
Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.
by Rishi K. Narang 2009
3.81
188 ratings
📊 Quantitative Finance🤖 Algorithmic Trading⚡ High-Frequency Trading🛡️ Risk Management📈 Portfolio Construction
The Master Algorithm
by Pedro Domingos • 2015
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
3.73
6k+
🤖 Machine Learning📚 Popular Science🧠 Superintelligence📊 Big Data⚖️ Ai Ethics
The Master Algorithm Summary
The Master Algorithm 90%
Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.
by Pedro Domingos 2015
3.73
6k+ ratings
🤖 Machine Learning📚 Popular Science🧠 Superintelligence📊 Big Data⚖️ Ai Ethics
How Data Happened
by Chris Wiggins • 2023
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
3.54
467
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics👁️ Surveillance Capitalism📊 Algorithmic Bias
How Data Happened Summary
How Data Happened 90%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 ratings
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics👁️ Surveillance Capitalism📊 Algorithmic Bias
The Ethical Algorithm
by Michael Kearns • 2019
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
4.10
671
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics🎲 Game Theory🔬 Reproducibility Crisis
The Ethical Algorithm Summary
The Ethical Algorithm 90%
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
by Michael Kearns 2019
4.10
671 ratings
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics🎲 Game Theory🔬 Reproducibility Crisis
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