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Books like Practical Time Series Analysis

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 94%
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
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 94%
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
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
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
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 93%
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
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+
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design📋 Reproducible Ml🤝 Ensemble Learning
Designing Machine Learning Systems Summary
Designing Machine Learning Systems 93%
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
by Chip Huyen 2022
4.45
1k+ ratings
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design📋 Reproducible Ml🤝 Ensemble Learning
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
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 92%
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
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🕸️ Neural Networks🔬 Deep Learning🎮 Reinforcement Learning📈 Statistical Learning
Machine Learning Summary
Machine Learning 92%
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
🧠 Machine Learning🕸️ Neural Networks🔬 Deep Learning🎮 Reinforcement Learning📈 Statistical Learning
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
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 91%
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
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 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
📊 Data Science🔮 Predictive Analytics📈 Big Data🤖 Machine Learning🧠 Behavioral Prediction
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 91%
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
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 91%
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
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
🤖 Ai In Business📋 Corporate Case Studies🧠 Applied Machine Learning📈 Predictive Analytics⚙️ Automation
Artificial Intelligence in Practice Summary
Artificial Intelligence in Practice 90%
Robots patrol Walmart aisles. Netflix guesses your next watch. How 50 companies already run on AI.
by Bernard Marr 2019
3.41
251 ratings
🤖 Ai In Business📋 Corporate Case Studies🧠 Applied Machine Learning📈 Predictive Analytics⚙️ Automation
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 90%
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
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
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
Practicing Trustworthy Machine Learning
by Yada Pruksachatkun • 2023
Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.
4.95
111
🤖 Responsible Ai⚙️ Ml Engineering⚖️ Model Fairness🔍 Explainable Ai🔒 Privacy-Preserving Ml
Practicing Trustworthy Machine Learning Summary
Practicing Trustworthy Machine Learning 90%
Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.
by Yada Pruksachatkun 2023
4.95
111 ratings
🤖 Responsible Ai⚙️ Ml Engineering⚖️ Model Fairness🔍 Explainable Ai🔒 Privacy-Preserving Ml
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
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
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
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
Why Machines Learn
by Anil Ananthaswamy • 2024
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
4.38
1k+
📜 History Of Ai🧬 Deep Learning🧠 Neural Network Theory📐 Linear Algebra🔢 Mathematical Foundations
Why Machines Learn Summary
Why Machines Learn 90%
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
by Anil Ananthaswamy 2024
4.38
1k+ ratings
📜 History Of Ai🧬 Deep Learning🧠 Neural Network Theory📐 Linear Algebra🔢 Mathematical Foundations
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
Real World AI
by Alyssa Simpson Rochwerger • 2021
Bring AI into a real business without bias, drift, and wasted millions: the practical playbook.
4.01
88
🏢 Enterprise Ai🎯 Ai Strategy⚖️ Responsible Ai📊 Data Governance⚙️ Mlops
Real World AI Summary
Real World AI 90%
Bring AI into a real business without bias, drift, and wasted millions: the practical playbook.
by Alyssa Simpson Rochwerger 2021
4.01
88 ratings
🏢 Enterprise Ai🎯 Ai Strategy⚖️ Responsible Ai📊 Data Governance⚙️ Mlops
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+
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals📉 Limits Of Correlation🔬 Philosophy Of Science
The Book of Why Summary
The Book of Why 90%
Data can't tell you why. A mathematical science of cause and effect finally can.
by Judea Pearl 2018
3.93
7k+ ratings
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals📉 Limits Of Correlation🔬 Philosophy Of Science
Practical Data Analytics for BFSI
by Mr. Bharat Sikka • 2023
ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.
🏦 Banking Analytics💼 Financial Services🗂️ Data Governance🕵️ Fraud Detection⚠️ Risk Management
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
🏦 Banking Analytics💼 Financial Services🗂️ Data Governance🕵️ Fraud Detection⚠️ Risk Management
The AI Playbook
by Eric Siegel • 2024
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
3.98
127
🏢 Enterprise Technology🤖 Applied Ai🔄 Change Management📊 Data Quality📏 Model Evaluation
The AI Playbook Summary
The AI Playbook 90%
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
by Eric Siegel 2024
3.98
127 ratings
🏢 Enterprise Technology🤖 Applied Ai🔄 Change Management📊 Data Quality📏 Model Evaluation
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 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
Build a Large Language Model
by Sebastian Raschka • 2025
Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.
4.60
356
🧠 Large Language Models🗣️ Natural Language Processing🏗️ Transformer Architectures🔄 Self-Supervised Learning🎯 Model Fine-Tuning
Build a Large Language Model Summary
Build a Large Language Model 90%
Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.
by Sebastian Raschka 2025
4.60
356 ratings
🧠 Large Language Models🗣️ Natural Language Processing🏗️ Transformer Architectures🔄 Self-Supervised Learning🎯 Model Fine-Tuning
AI Engineering
by Chip Huyen • 2025
Stop training models from scratch. The new discipline for building AI that ships.
4.37
1k+
🏗️ Llm Application Development📝 Prompt Engineering🔍 Rag Systems🎯 Model Finetuning📊 Ai Evaluation
AI Engineering Summary
AI Engineering 90%
Stop training models from scratch. The new discipline for building AI that ships.
by Chip Huyen 2025
4.37
1k+ ratings
🏗️ Llm Application Development📝 Prompt Engineering🔍 Rag Systems🎯 Model Finetuning📊 Ai Evaluation
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
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+
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions🧠 Analytics Culture🗄️ Data Management
Competing on Analytics Summary
Competing on Analytics 90%
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
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions🧠 Analytics Culture🗄️ Data Management
Artificial Intelligence (WIRED guides)
by Matthew Burgess • 2021
AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?
3.71
147
🖥️ Machine Learning🧠 Deep Learning⚖️ Ai Ethics🛡️ Ai Safety🔒 Data Privacy
Artificial Intelligence (WIRED guides) Summary
Artificial Intelligence (WIRED guides) 90%
AI masters chess, spots cancer, drives cars. But who trains it, and on whose data?
by Matthew Burgess 2021
3.71
147 ratings
🖥️ Machine Learning🧠 Deep Learning⚖️ Ai Ethics🛡️ Ai Safety🔒 Data Privacy
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
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 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
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory🔍 Search Algorithms📊 Data Sorting
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+
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy🧠 Cognitive Biases⚠️ Risk Literacy
The Math of Life and Death Summary
The Math of Life and Death 89%
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
by Kit Yates 2019
3.90
2k+ ratings
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy🧠 Cognitive Biases⚠️ Risk Literacy
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 89%
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
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📈 Data Analytics🗄️ Data Management🔮 Predictive Modeling📏 Performance Metrics
Sports Analytics Summary
Sports Analytics 89%
The playbook for installing analytics inside a sports organization, from data to decision.
by Benjamin C. Alamar 2013
3.51
130 ratings
📊 Sports Analytics📈 Data Analytics🗄️ Data Management🔮 Predictive Modeling📏 Performance Metrics
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
📱 Digital Marketing💡 Product Innovation📊 Predictive Analytics🧠 Ai Strategy📉 Marketing Analytics
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
📱 Digital Marketing💡 Product Innovation📊 Predictive Analytics🧠 Ai Strategy📉 Marketing Analytics
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 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
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 89%
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
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
🧮 Quantitative Trading📊 Excel For Finance📈 Options Trading🔄 Backtesting Strategies📉 Volatility Analysis
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
🧮 Quantitative Trading📊 Excel For Finance📈 Options Trading🔄 Backtesting Strategies📉 Volatility Analysis
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
📊 Statistical Literacy📈 Data Interpretation🤨 Media Skepticism⚠️ Risk Perception🎲 Probability
The Numbers Game Summary
The Numbers Game 89%
Most numbers in the news mislead you; a few mental habits reveal the real story.
by Michael Blastland 2008
3.65
344 ratings
📊 Statistical Literacy📈 Data Interpretation🤨 Media Skepticism⚠️ Risk Perception🎲 Probability
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 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
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 89%
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
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? 89%
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
Power And Prediction
by Ajay Agrawal • 2022
AI works. Now the long, slow work of rebuilding everything around it begins.
4.22
7k+
🤖 Ai In Business🏗️ Organizational Design🔄 Digital Transformation📊 Predictive Analytics⚡ Industry Disruption
Power And Prediction Summary
Power And Prediction 89%
AI works. Now the long, slow work of rebuilding everything around it begins.
by Ajay Agrawal 2022
4.22
7k+ ratings
🤖 Ai In Business🏗️ Organizational Design🔄 Digital Transformation📊 Predictive Analytics⚡ Industry Disruption
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