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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
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 95%
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
by John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
876
Data Science Summary
Data Science 94%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
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
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 93%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
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
Confident Data Skills Summary
Confident Data Skills 93%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
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
Becoming a Data Head Summary
Becoming a Data Head 92%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
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 For Absolute Beginners Summary
Machine Learning For Absolute Beginners 92%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
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
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+
Predictive Analytics Summary
Predictive Analytics 91%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ ratings
Competing on Analytics
by Thomas H. Davenport • 2007
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
3.69
2k+
Competing on Analytics Summary
Competing on Analytics 91%
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
by Thomas H. Davenport 2007
3.69
2k+ ratings
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+
Big Data Summary
Big Data 91%
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
Machine Learning
by Ethem Alpaydin • 2016
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
3.62
1k+
Machine Learning Summary
Machine Learning 91%
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
by Ethem Alpaydin 2016
3.62
1k+ ratings
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
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
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
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
The Numbers Game
by Michael Blastland • 2008
Most numbers in the news mislead you; a few mental habits reveal the real story.
3.65
344
The Numbers Game Summary
The Numbers Game 90%
Most numbers in the news mislead you; a few mental habits reveal the real story.
by Michael Blastland 2008
3.65
344 ratings
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
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
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
AI and Machine Learning for Coders Summary
AI and Machine Learning for Coders 90%
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
by Laurence Moroney 2021
4.09
108 ratings
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
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
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
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
Designing Machine Learning Systems
by Chip Huyen • 2022
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
4.45
1k+
Designing Machine Learning Systems Summary
Designing Machine Learning Systems 90%
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
by Chip Huyen 2022
4.45
1k+ ratings
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
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
AI in the Financial Markets
by Federico Cecconi • 2023
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
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
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
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
Sports Analytics
by Benjamin C. Alamar • 2013
The playbook for installing analytics inside a sports organization, from data to decision.
3.51
130
Sports Analytics Summary
Sports Analytics 90%
The playbook for installing analytics inside a sports organization, from data to decision.
by Benjamin C. Alamar 2013
3.51
130 ratings
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
Once Upon an Algorithm Summary
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
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
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
How to Read Numbers
by Tom Chivers • 2021
Missing denominators, tiny samples, and the WWII plane error that bends every news stat.
4.32
478
How to Read Numbers Summary
How to Read Numbers 90%
Missing denominators, tiny samples, and the WWII plane error that bends every news stat.
by Tom Chivers 2021
4.32
478 ratings
The Math of Life and Death
by Kit Yates • 2019
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
3.90
2k+
The Math of Life and Death Summary
The Math of Life and Death 90%
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
by Kit Yates 2019
3.90
2k+ ratings
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
Behind Every Good Decision Summary
Behind Every Good Decision 90%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 ratings
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+
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
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 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
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
Algorithms Summary
Algorithms 90%
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
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+
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
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+
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
Practical Data Analytics for BFSI
by Mr. Bharat Sikka • 2023
ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.
Practical Data Analytics for BFSI Summary
Practical Data Analytics for BFSI 90%
ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.
by Mr. Bharat Sikka 2023
The Bestseller Code
by Jodie Archer • 2016
An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.
3.81
1k+
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
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
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
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
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
Numbers Rule Your World
by Fung • 2010
Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.
3.56
1k+
Numbers Rule Your World Summary
Numbers Rule Your World 90%
Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.
by Fung 2010
3.56
1k+ ratings
Smart Baseball
by Keith Law • 2017
Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.
3.95
3k+
Smart Baseball Summary
Smart Baseball 89%
Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.
by Keith Law 2017
3.95
3k+ ratings
So lügt man mit Statistik
by Walter Krämer • 1991
Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.
3.74
136
So lügt man mit Statistik Summary
So lügt man mit Statistik 89%
Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.
by Walter Krämer 1991
3.74
136 ratings
The Theory That Would Not Die
by Sharon Bertsch McGrayne • 2011
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
3.77
3k+
The Theory That Would Not Die Summary
The Theory That Would Not Die 89%
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
by Sharon Bertsch McGrayne 2011
3.77
3k+ ratings
The Book of Why
by Judea Pearl • 2018
Data can't tell you why. A mathematical science of cause and effect finally can.
3.93
7k+
The Book of Why Summary
The Book of Why 89%
Data can't tell you why. A mathematical science of cause and effect finally can.
by Judea Pearl 2018
3.93
7k+ ratings
Artificial Intelligence in Practice
by Bernard Marr • 2019
Robots patrol Walmart aisles. Netflix guesses your next watch. How 50 companies already run on AI.
3.41
251
Artificial Intelligence in Practice Summary
Artificial Intelligence in Practice 89%
Robots patrol Walmart aisles. Netflix guesses your next watch. How 50 companies already run on AI.
by Bernard Marr 2019
3.41
251 ratings
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 Summary
Deep Learning 89%
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
Standard Deviations
by Gary Smith • 2014
Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.
3.95
911
Standard Deviations Summary
Standard Deviations 89%
Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.
by Gary Smith 2014
3.95
911 ratings
Thinking Better
by Marcus du Sautoy • 2021
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
3.59
618
Thinking Better Summary
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
How to Lie with Statistics
by Darrell Huff • 1954
The tricks behind every statistical lie you encounter, and the questions that expose them.
3.84
18k+
How to Lie with Statistics Summary
How to Lie with Statistics 89%
The tricks behind every statistical lie you encounter, and the questions that expose them.
by Darrell Huff 1954
3.84
18k+ ratings
Microsoft Excel for Stock and Option Traders
by Jeff Augen • 2011
Build a trading lab in Excel: volatility models, backtests, and the edge most traders miss.
3.17
12
Microsoft Excel for Stock and Option Traders Summary
Microsoft Excel for Stock and Option Traders 89%
Build a trading lab in Excel: volatility models, backtests, and the edge most traders miss.
by Jeff Augen 2011
3.17
12 ratings
AI for Marketing and Product Innovation
by A.K. Pradeep • 2018
Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.
3.33
57
AI for Marketing and Product Innovation Summary
AI for Marketing and Product Innovation 89%
Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.
by A.K. Pradeep 2018
3.33
57 ratings
Storytelling with Data
by Cole Nussbaumer Knaflic • 2015
A repeatable process for turning messy spreadsheets into clear charts that drive action.
4.38
8k+
Storytelling with Data Summary
Storytelling with Data 89%
A repeatable process for turning messy spreadsheets into clear charts that drive action.
by Cole Nussbaumer Knaflic 2015
4.38
8k+ ratings
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