🏷️ Supervised Learning

Technical books on the foundational machine learning paradigm of learning from labeled data, covering algorithms from linear regression to deep neural networks.

The Elements of Statistical Learning

by Trevor Hastie • 2001

The unified mathematical engine under linear regression, trees, and neural nets.

4.43

2k+

📊 Statistical Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods 💻 Computational Statistics

The Elements of Statistical Learning

The unified mathematical engine under linear regression, trees, and neural nets.

by Trevor Hastie 2001

4.43

2k+ ratings

📊 Statistical Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods 💻 Computational Statistics

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 🕸️ Neural Networks

The Hundred-Page Machine Learning Book

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 🕸️ Neural Networks

The Little Book of Deep Learning

by François Fleuret • 2023

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

4.32

151

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 🎨 Generative Models 👀 Attention Mechanisms

The Little Book of Deep Learning

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

by François Fleuret 2023

4.32

151 ratings

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 🎨 Generative Models 👀 Attention Mechanisms

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 🐍 Scikit-Learn 🔧 Feature Engineering 🌲 Ensemble Learning

Introduction to Machine Learning with Python

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 🐍 Scikit-Learn 🔧 Feature Engineering 🌲 Ensemble Learning

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 🌳 Decision Trees 🧬 Neural Networks

Machine Learning For Absolute Beginners

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 🌳 Decision Trees 🧬 Neural Networks

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 📈 Model Evaluation 🧹 Data Preparation 🔧 Feature Engineering

Fundamentals of Machine Learning for Predictive Data Analytics

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 📈 Model Evaluation 🧹 Data Preparation 🔧 Feature Engineering

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 📈 Statistical Learning 🔮 Predictive Modeling 💾 Big Data

Machine Learning for Dummies

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 📈 Statistical Learning 🔮 Predictive Modeling 💾 Big Data

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 📊 Classification Algorithms 🎯 Model Selection

Machine Learning with R

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 📊 Classification Algorithms 🎯 Model Selection

Introduction To Machine Learning

by Ethem Alpaydin • 2004

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

3.78

251

🤖 Machine Learning 📊 Statistical Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference 🔍 Model Selection

Introduction To Machine Learning

The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.

by Ethem Alpaydin 2004

3.78

251 ratings

🤖 Machine Learning 📊 Statistical Learning 🎮 Reinforcement Learning 🎲 Bayesian Inference 🔍 Model Selection

Machine Learning Simplified

by Andrew Wolf • 2022

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

4.87

193

📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing 🔍 Feature Selection

Machine Learning Simplified

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

by Andrew Wolf 2022

4.87

193 ratings

📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing 🔍 Feature Selection

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 🧠 Neural Networks 📊 Model Evaluation

Machine Learning For Absolute Beginners

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 🧠 Neural Networks 📊 Model Evaluation

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

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Python Machine Learning Case Studies

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

Machine Learning

by Dr Ruchi Doshi • 2021

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

5.00

🧠 Machine Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering 🎯 Recommendation Systems

Machine Learning

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

by Dr Ruchi Doshi 2021

5.00

1 ratings

🧠 Machine Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering 🎯 Recommendation Systems

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