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🏷️ Data Classification

Methods and frameworks for categorizing information by sensitivity, type, or purpose—a foundational practice for security, compliance, and effective data management.
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 89%
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
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
DAMA-DMBOK
by DAMA International • 2017
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
4.15
172
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture📐 Data Modeling✅ Data Quality Management
DAMA-DMBOK Summary
DAMA-DMBOK 89%
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
by DAMA International 2017
4.15
172 ratings
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture📐 Data Modeling✅ Data Quality Management
Python Data Science Handbook
by Jake VanderPlas • 2016
Four libraries, one workflow: the Python path from raw data to validated predictions.
4.29
676
📊 Data Science🤖 Machine Learning🐍 Scientific Python🧹 Data Preprocessing⚙️ Feature Engineering
Python Data Science Handbook Summary
Python Data Science Handbook 89%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 ratings
📊 Data Science🤖 Machine Learning🐍 Scientific Python🧹 Data Preprocessing⚙️ Feature Engineering
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 89%
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
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 89%
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
Fundamentals of Data Engineering
by Joe Reis • 2022
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
4.16
945
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines📊 Data Modeling☁️ Cloud Data Systems
Fundamentals of Data Engineering Summary
Fundamentals of Data Engineering 88%
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
by Joe Reis 2022
4.16
945 ratings
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines📊 Data Modeling☁️ Cloud Data Systems
Python Machine Learning Case Studies
by Danish Haroon • 2017
Five Python case studies in machine learning: from data cleanup to a scored model, step by step.
2.60
5
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis⚙️ Feature Engineering📐 Model Evaluation
Python Machine Learning Case Studies Summary
Python Machine Learning Case Studies 88%
Five Python case studies in machine learning: from data cleanup to a scored model, step by step.
by Danish Haroon 2017
2.60
5 ratings
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis⚙️ Feature Engineering📐 Model Evaluation
Data Analytics Made Accessible
by Anil Maheshwari • 2014
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
3.76
323
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining📈 Data Visualization🔮 Predictive Analytics
Data Analytics Made Accessible Summary
Data Analytics Made Accessible 88%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 ratings
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining📈 Data Visualization🔮 Predictive Analytics
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 88%
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
Information Asset Management
by Nina Evans • 2024
Information is the strategic asset your balance sheet ignores. Governing it changes everything.
🏛️ Information Governance✅ Data Quality🏷️ Metadata Management🎯 Data Strategy⚖️ Compliance Frameworks
Information Asset Management Summary
Information Asset Management 88%
Information is the strategic asset your balance sheet ignores. Governing it changes everything.
by Nina Evans 2024
🏛️ Information Governance✅ Data Quality🏷️ Metadata Management🎯 Data Strategy⚖️ Compliance Frameworks
Data Science for Business
by Foster Provost • 2013
Why overfitting sinks most data projects, and the conceptual tools that stop it.
4.13
3k+
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation🔧 Feature Engineering🧹 Data Preparation
Data Science for Business Summary
Data Science for Business 88%
Why overfitting sinks most data projects, and the conceptual tools that stop it.
by Foster Provost 2013
4.13
3k+ ratings
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation🔧 Feature Engineering🧹 Data Preparation
Information Is Beautiful
by David McCandless • 2001
Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.
4.12
4k+
📊 Data Visualization🎨 Data Art👁️ Visual Literacy🌊 Information Overload🔍 Everyday Patterns
Information Is Beautiful Summary
Information Is Beautiful 88%
Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.
by David McCandless 2001
4.12
4k+ ratings
📊 Data Visualization🎨 Data Art👁️ Visual Literacy🌊 Information Overload🔍 Everyday Patterns
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 88%
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
Everything Is Miscellaneous
by David Weinberger • 2007
Atoms forced one shelf per book. Bits let every fact live in many places at once.
3.74
2k+
📐 Information Architecture🏷️ Folksonomies🗂️ Classification Systems👥 Social Knowledge✍️ User-Generated Content
Everything Is Miscellaneous Summary
Everything Is Miscellaneous 88%
Atoms forced one shelf per book. Bits let every fact live in many places at once.
by David Weinberger 2007
3.74
2k+ ratings
📐 Information Architecture🏷️ Folksonomies🗂️ Classification Systems👥 Social Knowledge✍️ User-Generated Content
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
Organising Knowledge
by Patrick Lambe • 2007
Fragmented knowledge kills organizations. A shared taxonomy, built right, brings them back together.
3.95
64
🧠 Knowledge Management🗂️ Taxonomy Development🏛️ Information Architecture📋 Information Management🧩 Sense-Making
Organising Knowledge Summary
Organising Knowledge 88%
Fragmented knowledge kills organizations. A shared taxonomy, built right, brings them back together.
by Patrick Lambe 2007
3.95
64 ratings
🧠 Knowledge Management🗂️ Taxonomy Development🏛️ Information Architecture📋 Information Management🧩 Sense-Making
Doing Data Science
by Cathy O'Neil • 2013
Your model is lying to you. The ninety percent of data science that algorithms won't fix.
3.73
567
📊 Data Science📈 Statistical Thinking🧹 Data Wrangling🔧 Feature Engineering🔗 Causal Inference
Doing Data Science Summary
Doing Data Science 88%
Your model is lying to you. The ninety percent of data science that algorithms won't fix.
by Cathy O'Neil 2013
3.73
567 ratings
📊 Data Science📈 Statistical Thinking🧹 Data Wrangling🔧 Feature Engineering🔗 Causal Inference
Dataclysm
by Christian Rudder • 2014
Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.
3.73
12k+
📊 Big Data💘 Online Dating🖥️ Digital Anthropology👣 Digital Footprints🎭 Online Identity
Dataclysm Summary
Dataclysm 88%
Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.
by Christian Rudder 2014
3.73
12k+ ratings
📊 Big Data💘 Online Dating🖥️ Digital Anthropology👣 Digital Footprints🎭 Online Identity
Practical Statistics for Data Scientists
by Peter Bruce • 2017
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
4.02
545
🛠️ Practical Data Science📈 Applied Statistics🔍 Exploratory Data Analysis🎓 Statistical Inference🔄 Resampling Methods
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 88%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 ratings
🛠️ Practical Data Science📈 Applied Statistics🔍 Exploratory Data Analysis🎓 Statistical Inference🔄 Resampling Methods
HBR Guide to Data Analytics Basics for Managers
by Harvard Business Review • 2018
The manager's checklist: what to verify before any number shapes your next decision.
3.86
383
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection📊 Data Visualization🧠 Cognitive Biases
HBR Guide to Data Analytics Basics for Managers Summary
HBR Guide to Data Analytics Basics for Managers 88%
The manager's checklist: what to verify before any number shapes your next decision.
by Harvard Business Review 2018
3.86
383 ratings
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection📊 Data Visualization🧠 Cognitive Biases
Low-Code AI
by Gwendolyn Stripling • 2023
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
4.33
6
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering🔍 Model Interpretability🧩 Low-Code Platforms
Low-Code AI Summary
Low-Code AI 88%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 ratings
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering🔍 Model Interpretability🧩 Low-Code Platforms
Bursts
by Albert-László Barabási • 2010
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
3.30
1k+
🕸️ Complex Systems🔗 Network Science📉 Power Laws✅ Task Prioritization🔐 Data And Privacy
Bursts Summary
Bursts 88%
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
by Albert-László Barabási 2010
3.30
1k+ ratings
🕸️ Complex Systems🔗 Network Science📉 Power Laws✅ Task Prioritization🔐 Data And Privacy
Introduction to Machine Learning with Python
by Andreas C. Müller • 2015
Build models that generalize, not just memorize: a Python data scientist's guide.
4.33
600
🤖 Applied Machine Learning📊 Data Science🏷️ Supervised Learning🐍 Scikit-Learn🔧 Feature Engineering
Introduction to Machine Learning with Python Summary
Introduction to Machine Learning with Python 88%
Build models that generalize, not just memorize: a Python data scientist's guide.
by Andreas C. Müller 2015
4.33
600 ratings
🤖 Applied Machine Learning📊 Data Science🏷️ Supervised Learning🐍 Scikit-Learn🔧 Feature Engineering
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 88%
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
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 88%
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
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 88%
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
AI for Data Science
by Zacharias Voulgaris • 2018
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
4.55
20
📊 Data Science🧠 Deep Learning⚙️ Optimization Algorithms🤝 Ensemble Methods📈 Big Data Analytics
AI for Data Science Summary
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
Data Mining Techniques
by Michael J.A. Berry • 1997
How to pull business answers from transaction data using six core data mining techniques.
4.06
233
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining🔮 Predictive Modeling📋 Business Intelligence
Data Mining Techniques Summary
Data Mining Techniques 88%
How to pull business answers from transaction data using six core data mining techniques.
by Michael J.A. Berry 1997
4.06
233 ratings
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining🔮 Predictive Modeling📋 Business Intelligence
Liquid Surveillance
by Zygmunt Bauman • 2012
Surveillance has gone from prison tower to loyalty card: fluid, seductive, and nearly invisible.
3.80
490
👁️ Surveillance Studies🔒 Digital Privacy🏛️ Post-Panoptic Theory📊 Social Sorting⚙️ Technological Determinism
Liquid Surveillance Summary
Liquid Surveillance 88%
Surveillance has gone from prison tower to loyalty card: fluid, seductive, and nearly invisible.
by Zygmunt Bauman 2012
3.80
490 ratings
👁️ Surveillance Studies🔒 Digital Privacy🏛️ Post-Panoptic Theory📊 Social Sorting⚙️ Technological Determinism
Hadoop
by Tom White • 2009
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
3.93
1k+
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem⚙️ Data Engineering🔗 Data Pipelines
Hadoop Summary
Hadoop 88%
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
by Tom White 2009
3.93
1k+ ratings
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem⚙️ Data Engineering🔗 Data Pipelines
Python for Data Analysis
by Wes McKinney • 2011
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
4.17
2k+
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis📈 Statistical Modeling
Python for Data Analysis Summary
Python for Data Analysis 88%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ ratings
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis📈 Statistical Modeling
Graph Databases
by Ian Robinson • 2013
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
3.64
437
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory🔗 Network Analysis🏗️ Data Architecture
Graph Databases Summary
Graph Databases 88%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory🔗 Network Analysis🏗️ Data Architecture
Python for Data Analysis
by Oscar Scratch • 2019
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
3.50
2
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization🐍 Introductory Programming📈 Beginner Data Science
Python for Data Analysis Summary
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
Practical SQL
by Anthony DeBarros • 2022
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
4.26
239
💾 Sql📊 Data Analysis🗃️ Relational Databases📖 Data Storytelling🛠️ Learn By Doing
Practical SQL Summary
Practical SQL 88%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
💾 Sql📊 Data Analysis🗃️ Relational Databases📖 Data Storytelling🛠️ Learn By Doing
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
The Right to Oblivion
by Lowry Pressly • 2024
Privacy isn't about controlling your data. It's about keeping whole regions of life unrecordable.
4.01
254
👁️ Surveillance Studies⚙️ Philosophy Of Technology🔒 Digital Privacy💭 Forgetting And Memory📊 Datafication
The Right to Oblivion Summary
The Right to Oblivion 88%
Privacy isn't about controlling your data. It's about keeping whole regions of life unrecordable.
by Lowry Pressly 2024
4.01
254 ratings
👁️ Surveillance Studies⚙️ Philosophy Of Technology🔒 Digital Privacy💭 Forgetting And Memory📊 Datafication
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 88%
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
The Hundred-Page Machine Learning Book
by Andriy Burkov • 2019
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
4.25
1k+
🤖 Machine Learning📊 Data Science📚 Classical Machine Learning📈 Statistical Learning🏫 Supervised Learning
The Hundred-Page Machine Learning Book Summary
The Hundred-Page Machine Learning Book 88%
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
by Andriy Burkov 2019
4.25
1k+ ratings
🤖 Machine Learning📊 Data Science📚 Classical Machine Learning📈 Statistical Learning🏫 Supervised Learning
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 88%
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
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 Summary
Weapons of Math Destruction 87%
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
Machine Learning with R
by Brett Lantz • 2015
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
4.20
312
💻 R Language🤖 Machine Learning📈 Predictive Modeling🏷️ Supervised Learning📊 Classification Algorithms
Machine Learning with R Summary
Machine Learning with R 87%
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
by Brett Lantz 2015
4.20
312 ratings
💻 R Language🤖 Machine Learning📈 Predictive Modeling🏷️ Supervised Learning📊 Classification Algorithms
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 Summary
Machine Learning for Dummies 87%
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
Practical Statistics for Data Scientists
by Peter Bruce • 2020
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
4.21
261
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference🔄 Resampling Methods📈 Regression Modeling
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 87%
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
by Peter Bruce 2020
4.21
261 ratings
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference🔄 Resampling Methods📈 Regression Modeling
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 87%
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
Privacy in the Age of Big Data
by Theresa Payton • 2014
Your devices watch everything you do. Here is what they collect and how to stop it.
3.56
112
🔒 Digital Privacy👁️ Data Surveillance📊 Personal Data🏢 Corporate Surveillance🕵️ Surveillance State
Privacy in the Age of Big Data Summary
Privacy in the Age of Big Data 87%
Your devices watch everything you do. Here is what they collect and how to stop it.
by Theresa Payton 2014
3.56
112 ratings
🔒 Digital Privacy👁️ Data Surveillance📊 Personal Data🏢 Corporate Surveillance🕵️ Surveillance State
Learning Python Data Visualization
by Chad Adams • 2014
Turn spreadsheets and web data into SVG charts with Python, no design background required.
3.00
5
📊 Data Visualization🐍 Python Programming📈 Chart Creation🎨 Svg Graphics🕸️ Web Scraping
Learning Python Data Visualization Summary
Learning Python Data Visualization 87%
Turn spreadsheets and web data into SVG charts with Python, no design background required.
by Chad Adams 2014
3.00
5 ratings
📊 Data Visualization🐍 Python Programming📈 Chart Creation🎨 Svg Graphics🕸️ Web Scraping
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 87%
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
Fundamentals of Machine Learning for Predictive Data Analytics
by John D. Kelleher • 2015
Pick the right machine learning approach for any business problem, guided by real case studies.
4.35
105
📊 Predictive Analytics💼 Business Analytics🤖 Supervised Learning📈 Model Evaluation🧹 Data Preparation
Fundamentals of Machine Learning for Predictive Data Analytics Summary
Fundamentals of Machine Learning for Predictive Data Analytics 87%
Pick the right machine learning approach for any business problem, guided by real case studies.
by John D. Kelleher 2015
4.35
105 ratings
📊 Predictive Analytics💼 Business Analytics🤖 Supervised Learning📈 Model Evaluation🧹 Data Preparation
Machine Learning For Absolute Beginners
by Oliver Theobald • 2018
A plain English path from zero to a working model: the algorithms, data prep, and code.
3.96
786
🤖 Machine Learning Basics🐍 Python For Data Science🧹 Data Preparation🎯 Supervised Learning🧠 Neural Networks
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 87%
A plain English path from zero to a working model: the algorithms, data prep, and code.
by Oliver Theobald 2018
3.96
786 ratings
🤖 Machine Learning Basics🐍 Python For Data Science🧹 Data Preparation🎯 Supervised Learning🧠 Neural Networks
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