🧠 Algorithm Problems

Puzzle-driven books that sharpen computational thinking through carefully chosen challenges, beloved by those preparing for technical interviews or simply drawn to the pleasure of an elegant solution.

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 93%

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

Data Structures and Algorithms Made Easy

by Narasimha Karumanchi • 2011

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

4.10

1k+

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design 📊 Complexity Theory 💼 Coding Interviews

Data Structures and Algorithms Made Easy Summary

Data Structures and Algorithms Made Easy 92%

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

by Narasimha Karumanchi 2011

4.10

1k+ ratings

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design 📊 Complexity Theory 💼 Coding Interviews

Algorithm Design

by Jon Kleinberg • 2005

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

4.17

664

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

Algorithm Design 92%

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

by Jon Kleinberg 2005

4.17

664 ratings

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

by Aditya Y. Bhargava • 2015

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

4.41

5k+

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People Summary

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 92%

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

by Aditya Y. Bhargava 2015

4.41

5k+ ratings

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Introduction to Algorithms

by Thomas H. Cormen • 1989

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

4.35

9k+

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis ✂️ Divide And Conquer 🎲 Randomized Algorithms

Introduction to Algorithms 91%

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

by Thomas H. Cormen 1989

4.35

9k+ ratings

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis ✂️ Divide And Conquer 🎲 Randomized Algorithms

The Algorithm Design Manual

by Steven S. Skiena • 1997

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

4.34

3k+

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms 🔢 Dynamic Programming 🛠️ Practical Algorithms

The Algorithm Design Manual 91%

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

by Steven S. Skiena 1997

4.34

3k+ ratings

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms 🔢 Dynamic Programming 🛠️ Practical Algorithms

Data Structures and Algorithms

by Alfred V. Aho • 1983

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

3.93

245

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

Data Structures and Algorithms 91%

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

by Alfred V. Aho 1983

3.93

245 ratings

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

Computer Science Distilled

by Wladston Ferreira Filho • 2017

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

4.07

1k+

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures 📊 Complexity Analysis 🎲 Probability Theory

Computer Science Distilled 91%

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

by Wladston Ferreira Filho 2017

4.07

1k+ ratings

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures 📊 Complexity Analysis 🎲 Probability Theory

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 91%

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

Cracking the Coding Interview

by Gayle Laakmann McDowell • 2020

189 interview problems that teach you to think out loud, because code follows from thinking.

4.33

476

🧑‍💻 Coding Interviews 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation 📋 Behavioral Questions

Cracking the Coding Interview 91%

189 interview problems that teach you to think out loud, because code follows from thinking.

by Gayle Laakmann McDowell 2020

4.33

476 ratings

🧑‍💻 Coding Interviews 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation 📋 Behavioral Questions

Data Structures and Algorithms in Java

by Michael T. Goodrich • 1998

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

3.86

302

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design 📈 Algorithm Analysis 🧩 Software Design

Data Structures and Algorithms in Java Summary

Data Structures and Algorithms in Java 91%

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

by Michael T. Goodrich 1998

3.86

302 ratings

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design 📈 Algorithm Analysis 🧩 Software Design

Data Structures and Algorithms Made Easy in Java

by Narasimha Karumanchi • 2011

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

4.17

471

🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews ☕ Java Programming 📚 Cs Fundamentals

Data Structures and Algorithms Made Easy in Java Summary

Data Structures and Algorithms Made Easy in Java 91%

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

by Narasimha Karumanchi 2011

4.17

471 ratings

🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews ☕ Java Programming 📚 Cs Fundamentals

The Art of Computer Programming, Volume 1

by Donald Ervin Knuth • 1973

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

4.38

2k+

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis 📐 Mathematical Analysis 🔧 Low-Level Computing

The Art of Computer Programming, Volume 1 Summary

The Art of Computer Programming, Volume 1 91%

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

by Donald Ervin Knuth 1973

4.38

2k+ ratings

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis 📐 Mathematical Analysis 🔧 Low-Level Computing

Introduction to Computation and Programming Using Python

by John V. Guttag • 2013

A computer calculates and remembers; everything beyond that is what you build with code.

4.22

500

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners 📐 Algorithm Design 🗃️ Data Structures

Introduction to Computation and Programming Using Python Summary

Introduction to Computation and Programming Using Python 90%

A computer calculates and remembers; everything beyond that is what you build with code.

by John V. Guttag 2013

4.22

500 ratings

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners 📐 Algorithm Design 🗃️ Data Structures

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 90%

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

Think Like a Programmer

by V. Anton Spraul • 2012

A method for the part of programming no one teaches: turning ideas into code.

3.87

591

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

Think Like a Programmer 90%

A method for the part of programming no one teaches: turning ideas into code.

by V. Anton Spraul 2012

3.87

591 ratings

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

Programming Interviews Exposed

by John Mongan • 2000

The data structures coding interviews reuse, and the method for talking through your work.

3.96

1k+

🖥️ Coding Interviews 💻 CS Fundamentals 📊 Data Structures 🔢 Algorithm Design ⏱️ Big-O Analysis

Programming Interviews Exposed 90%

The data structures coding interviews reuse, and the method for talking through your work.

by John Mongan 2000

3.96

1k+ ratings

🖥️ Coding Interviews 💻 CS Fundamentals 📊 Data Structures 🔢 Algorithm Design ⏱️ Big-O Analysis

Python Programming

by John Zelle • 2003

A Python-first CS textbook that teaches what computation can do, not just how to code.

4.02

483

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals 🏗️ Object-Oriented Design 🔄 Software Development

Python Programming 90%

A Python-first CS textbook that teaches what computation can do, not just how to code.

by John Zelle 2003

4.02

483 ratings

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals 🏗️ Object-Oriented Design 🔄 Software Development

Data Structures and Problem Solving Using Java

by Mark Allen Weiss • 2009

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

3.58

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Data Structures and Problem Solving Using Java Summary

Data Structures and Problem Solving Using Java 90%

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

by Mark Allen Weiss 2009

3.58

36 ratings

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Algorithms to Live By

by Brian Christian • 2016

When to settle, when to quit, when to trust chance: computer science already found the answers.

4.12

35k+

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning 🧩 Heuristics 💭 Overthinking

Algorithms to Live By 89%

When to settle, when to quit, when to trust chance: computer science already found the answers.

by Brian Christian 2016

4.12

35k+ ratings

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning 🧩 Heuristics 💭 Overthinking

Weapons of Math Destruction

by Cathy O'Neil • 2016

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

3.87

30k+

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

Weapons of Math Destruction 89%

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

by Cathy O'Neil 2016

3.87

30k+ ratings

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

Algorithms + Data Structures = Programs

by Niklaus Wirth • 1975

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

4.24

207

🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming 🧩 Modular Design 🐛 Debugging Practices

Algorithms + Data Structures = Programs Summary

Algorithms + Data Structures = Programs 89%

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

by Niklaus Wirth 1975

4.24

207 ratings

🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming 🧩 Modular Design 🐛 Debugging Practices

Think Python

by Allen B. Downey • 2012

Python taught as problem decomposition: mastering variables, functions, and data structures.

4.13

2k+

🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Think Python 89%

Python taught as problem decomposition: mastering variables, functions, and data structures.

by Allen B. Downey 2012

4.13

2k+ ratings

🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Debugging

by David J. Agans • 2002

Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.

4.26

509

🐛 Debugging 🎯 Root Cause Analysis ⚙️ Engineering Mindset 🔧 Pragmatic Programming 🧪 Scientific Method

Debugging 89%

Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.

by David J. Agans 2002

4.26

509 ratings

🐛 Debugging 🎯 Root Cause Analysis ⚙️ Engineering Mindset 🔧 Pragmatic Programming 🧪 Scientific Method

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 89%

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 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 89%

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

The Nature of Code

by Daniel Shiffman • 2012

Code that breathes: how to build simulations that move, think, and evolve on your screen.

4.57

502

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

The Nature of Code 89%

Code that breathes: how to build simulations that move, think, and evolve on your screen.

by Daniel Shiffman 2012

4.57

502 ratings

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

Rage Inside the Machine

by Robert Elliott Smith • 2019

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

3.97

145

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Rage Inside the Machine 89%

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

by Robert Elliott Smith 2019

3.97

145 ratings

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Thinking Better

by Marcus du Sautoy • 2021

Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.

3.59

618

🧮 Mathematical Thinking 🧠 Mental Shortcuts 🔍 Pattern Recognition ⚙️ Optimization 👁️ Visual Thinking

Thinking Better 89%

Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.

by Marcus du Sautoy 2021

3.59

618 ratings

🧮 Mathematical Thinking 🧠 Mental Shortcuts 🔍 Pattern Recognition ⚙️ Optimization 👁️ Visual Thinking

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 89%

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

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 89%

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

Neural Networks, Fuzzy Logic And Genetic Algorithms

by S. Rajasekaran • 2004

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

4.21

151

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

Neural Networks, Fuzzy Logic And Genetic Algorithms Summary

Neural Networks, Fuzzy Logic And Genetic Algorithms 88%

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

by S. Rajasekaran 2004

4.21

151 ratings

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

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 88%

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

Python for Data Analysis

by Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Python for Data Analysis 88%

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

by Oscar Scratch 2019

3.50

2 ratings

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Mastering Regular Expressions

by Jeffrey E.F. Friedl • 1997

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

4.16

2k+

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching ⚡ Code Optimization 🤖 Automata Theory

Mastering Regular Expressions 88%

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

by Jeffrey E.F. Friedl 1997

4.16

2k+ ratings

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching ⚡ Code Optimization 🤖 Automata Theory

Understanding Software

by Max Kanat-Alexander • 2017

Code that's easy to write is hard to maintain. Here's how to flip that equation.

3.58

179

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods 🏚️ Technical Debt ⏱️ Developer Productivity

Understanding Software 88%

Code that's easy to write is hard to maintain. Here's how to flip that equation.

by Max Kanat-Alexander 2017

3.58

179 ratings

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods 🏚️ Technical Debt ⏱️ Developer Productivity

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 88%

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

How to Solve It

by George Pólya • 1944

Most problems are not solved by attacking them harder but by approaching them sideways.

4.12

5k+

🔍 Problem-Solving Heuristics 🧮 Mathematical Thinking 🧠 Heuristic Reasoning 📚 Math Pedagogy 🔄 Analogical Reasoning

How to Solve It 88%

Most problems are not solved by attacking them harder but by approaching them sideways.

by George Pólya 1944

4.12

5k+ ratings

🔍 Problem-Solving Heuristics 🧮 Mathematical Thinking 🧠 Heuristic Reasoning 📚 Math Pedagogy 🔄 Analogical Reasoning

Algorithms of the Intelligent Web

by Haralambos Marmanis • 2009

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

3.62

130

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Algorithms of the Intelligent Web Summary

Algorithms of the Intelligent Web 88%

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

by Haralambos Marmanis 2009

3.62

130 ratings

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Learning OpenCV

by Gary Bradski • 2008

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

4.01

171

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Learning OpenCV 88%

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

by Gary Bradski 2008

4.01

171 ratings

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

How to Speak Machine

by John Maeda • 2019

Loops, scale, and unfinished products: what computers know that designers must learn.

3.69

521

🖥️ Computational Thinking 📱 Digital Design 🔄 Iterative Development ⚖️ Algorithmic Bias 📊 Data-Driven Design

How to Speak Machine 88%

Loops, scale, and unfinished products: what computers know that designers must learn.

by John Maeda 2019

3.69

521 ratings

🖥️ Computational Thinking 📱 Digital Design 🔄 Iterative Development ⚖️ Algorithmic Bias 📊 Data-Driven Design

Information Theory, Coding and Crytography

by Ranjan Bose • 2002

Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.

3.75

162

🧠 Information Theory 🔢 Coding Theory 🔐 Cryptography 📦 Data Compression 📡 Digital Communications

Information Theory, Coding and Crytography Summary

Information Theory, Coding and Crytography 88%

Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.

by Ranjan Bose 2002

3.75

162 ratings

🧠 Information Theory 🔢 Coding Theory 🔐 Cryptography 📦 Data Compression 📡 Digital Communications

Everyday Chaos

by David Weinberger • 2019

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

3.78

202

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Everyday Chaos 88%

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

by David Weinberger 2019

3.78

202 ratings

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Data Science from Scratch

by Joel Grus • 2015

Real understanding comes from building algorithms yourself, not calling libraries others wrote.

3.90

1k+

🐍 Python For Data Science ⚙️ Algorithm Implementation 📊 Statistical Thinking 📐 Applied Linear Algebra 🤖 Machine Learning Basics

Data Science from Scratch 88%

Real understanding comes from building algorithms yourself, not calling libraries others wrote.

by Joel Grus 2015

3.90

1k+ ratings

🐍 Python For Data Science ⚙️ Algorithm Implementation 📊 Statistical Thinking 📐 Applied Linear Algebra 🤖 Machine Learning Basics

Machine Learning for Dummies

by John Paul Mueller • 2016

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

3.53

139

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

Machine Learning for Dummies 88%

Machine learning demystified: pick the right algorithm, train it well, and know when it works.

by John Paul Mueller 2016

3.53

139 ratings

🧠 Machine Learning Basics 📊 Data Science Basics 🏷️ Supervised Learning 📈 Statistical Learning 🔮 Predictive Modeling

AI for Data Science

by Zacharias Voulgaris • 2018

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

4.55

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

AI for Data Science 88%

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

by Zacharias Voulgaris 2018

4.55

20 ratings

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

Learn Python 3 the Hard Way

by Zed A. Shaw • 2017

Python without the hand-holding: type every line, debug every error, and build from the terminal up.

3.92

597

🐍 Python Programming 💻 Learn To Code ⌨️ Command Line 🐛 Debugging 🛠️ Learn By Doing

Learn Python 3 the Hard Way 88%

Python without the hand-holding: type every line, debug every error, and build from the terminal up.

by Zed A. Shaw 2017

3.92

597 ratings

🐍 Python Programming 💻 Learn To Code ⌨️ Command Line 🐛 Debugging 🛠️ Learn By Doing

Computer Power and Human Reason

by Joseph Weizenbaum • 1976

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

4.31

294

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

Computer Power and Human Reason 88%

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

by Joseph Weizenbaum 1976

4.31

294 ratings

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

The Art of Debugging with GDB, DDD and Eclipse

by Norman Matloff • 2007

Your program crashes because it hides a secret. GDB, DDD, and Eclipse reveal it.

3.91

106

🐞 Debugging Techniques ⚡ Systems Programming 🧠 Memory Management 🐧 Linux Development ⚙️ Concurrent Programming

The Art of Debugging with GDB, DDD and Eclipse Summary

The Art of Debugging with GDB, DDD and Eclipse 88%

Your program crashes because it hides a secret. GDB, DDD, and Eclipse reveal it.

by Norman Matloff 2007

3.91

106 ratings

🐞 Debugging Techniques ⚡ Systems Programming 🧠 Memory Management 🐧 Linux Development ⚙️ Concurrent Programming

Shape

by Jordan Ellenberg • 2021

Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.

3.73

2k+

Shape 88%

Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.

by Jordan Ellenberg 2021

3.73

2k+ ratings

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