11 Books like Designing Machine Learning Systems

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 95%

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

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 94%

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

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 93%

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

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 93%

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

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

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops 🧹 Data Quality 🔧 Data Engineering

Why Data Science Projects Fail 92%

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

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 92%

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

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

🏢 Enterprise Ai 🎯 Ai Strategy ⚖️ Responsible Ai 📊 Data Governance ⚙️ Mlops

Real World AI 92%

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

Modern Software Engineering

by David Farley • 2021

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

4.16

1k+

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

Modern Software Engineering 92%

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

by David Farley 2021

4.16

1k+ ratings

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

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 92%

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

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 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

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 92%

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

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