Themes Lists Trending New
Start free trial
EnglishEnglish
EspañolSpanish
简体中文Chinese
繁體中文Chinese (Traditional)
FrançaisFrench
DeutschGerman
日本語Japanese
PortuguêsPortuguese
ItalianoItalian
한국어Korean
РусскийRussian
NederlandsDutch
العربيةArabic
PolskiPolish
हिन्दीHindi
Tiếng ViệtVietnamese
SvenskaSwedish
ΕλληνικάGreek
TürkçeTurkish
ไทยThai
ČeštinaCzech
RomânăRomanian
MagyarHungarian
УкраїнськаUkrainian
IndonesiaIndonesian
DanskDanish
SuomiFinnish
БългарскиBulgarian
עבריתHebrew
NorskNorwegian
HrvatskiCroatian
CatalàCatalan
SlovenčinaSlovak
LietuviųLithuanian
SlovenščinaSlovenian
СрпскиSerbian
EestiEstonian
LatviešuLatvian
فارسیPersian
മലയാളംMalayalam
தமிழ்Tamil
اردوUrdu
SoBrief
Searching...

🎯 Model Finetuning

The technical art of adapting pre-trained machine learning models to specific tasks, coaxing general intelligence toward specialized expertise through targeted training.
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📊 Ai Evaluation📦 Dataset Engineering
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📊 Ai Evaluation📦 Dataset Engineering
Natural Language Processing with Transformers
by Lewis Tunstall • 2022
Build NLP applications with the open-source stack that turned transformer research practical.
4.39
211
🗣️ Natural Language Processing🧠 Deep Learning🤖 Transformers🔄 Transfer Learning🔧 Open Source Tools
Natural Language Processing with Transformers Summary
Natural Language Processing with Transformers 89%
Build NLP applications with the open-source stack that turned transformer research practical.
by Lewis Tunstall 2022
4.39
211 ratings
🗣️ Natural Language Processing🧠 Deep Learning🤖 Transformers🔄 Transfer Learning🔧 Open Source Tools
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 89%
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
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📚 Supervised Learning🎨 Generative Models
The Little Book of Deep Learning Summary
The Little Book of Deep Learning 89%
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📚 Supervised Learning🎨 Generative Models
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 89%
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
Deep Learning with Python
by François Chollet • 2017
The Keras creator teaches you to build neural networks that see, read, and create in Python.
4.57
1k+
🧠 Deep Learning🐍 Python Programming🏋️ Model Training👁️ Computer Vision💬 Natural Language Processing
Deep Learning with Python Summary
Deep Learning with Python 89%
The Keras creator teaches you to build neural networks that see, read, and create in Python.
by François Chollet 2017
4.57
1k+ ratings
🧠 Deep Learning🐍 Python Programming🏋️ Model Training👁️ Computer Vision💬 Natural Language Processing
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 89%
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
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? 88%
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
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 88%
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
AI and Machine Learning for On-Device Development
by Laurence Moroney • 2021
Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.
4.17
6
📱 Mobile Development🧠 On-Device Ai🤖 Applied Machine Learning🚀 Model Deployment👁️ Computer Vision
AI and Machine Learning for On-Device Development Summary
AI and Machine Learning for On-Device Development 88%
Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.
by Laurence Moroney 2021
4.17
6 ratings
📱 Mobile Development🧠 On-Device Ai🤖 Applied Machine Learning🚀 Model Deployment👁️ Computer Vision
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
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 88%
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
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 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
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
Python for Geeks
by Muhammad Asif • 2021
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
4.50
8
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science🚀 Production Deployment☁️ Serverless Computing
Python for Geeks Summary
Python for Geeks 88%
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
by Muhammad Asif 2021
4.50
8 ratings
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science🚀 Production Deployment☁️ Serverless Computing
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
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 88%
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
Hands-On Machine Learning with Scikit-Learn and TensorFlow
by Aurélien Géron • 2017
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
4.55
3k+
🧠 Deep Learning🔗 Neural Networks🛠️ Practical Ml📈 Time Series Forecasting💬 Natural Language Processing
Hands-On Machine Learning with Scikit-Learn and TensorFlow Summary
Hands-On Machine Learning with Scikit-Learn and TensorFlow 88%
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
by Aurélien Géron 2017
4.55
3k+ ratings
🧠 Deep Learning🔗 Neural Networks🛠️ Practical Ml📈 Time Series Forecasting💬 Natural Language Processing
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
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
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 88%
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
Neural Networks, Fuzzy Logic And Genetic Algorithms
by S. Rajasekaran • 2004
Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.
4.21
151
🖥️ Soft Computing🧠 Neural Networks🌫️ Fuzzy Logic🧬 Genetic Algorithms🤖 Machine Learning
Neural Networks, Fuzzy Logic And Genetic Algorithms Summary
Neural Networks, Fuzzy Logic And Genetic Algorithms 87%
Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.
by S. Rajasekaran 2004
4.21
151 ratings
🖥️ Soft Computing🧠 Neural Networks🌫️ Fuzzy Logic🧬 Genetic Algorithms🤖 Machine Learning
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
by Dr Ruchi Doshi • 2021
From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.
5.00
1
🧠 Machine Learning📊 Supervised Learning🧬 Deep Learning🕹️ Reinforcement Learning🛠️ Feature Engineering
Machine Learning Summary
Machine Learning 87%
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📊 Supervised Learning🧬 Deep Learning🕹️ Reinforcement Learning🛠️ Feature Engineering
Understanding Large Language Models
by Thimira Amaratunga • 2023
The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.
5.00
1
🗣️ Natural Language Processing🤖 Generative Ai📖 Ai Literacy✍️ Prompt Engineering⚖️ Ai Ethics
Understanding Large Language Models Summary
Understanding Large Language Models 87%
The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.
by Thimira Amaratunga 2023
5.00
1 ratings
🗣️ Natural Language Processing🤖 Generative Ai📖 Ai Literacy✍️ Prompt Engineering⚖️ Ai Ethics
ChatGPT for Beginners
by Eric Sarrion • 2023
A beginner's guide to making ChatGPT handle email, research, and sales while you focus elsewhere.
2.2
5
🤖 Chatbot Development✨ Generative Ai📝 Prompt Engineering⚙️ Workflow Automation👶 Ai For Beginners
ChatGPT for Beginners Summary
ChatGPT for Beginners 87%
A beginner's guide to making ChatGPT handle email, research, and sales while you focus elsewhere.
by Eric Sarrion 2023
2.2
5 ratings
🤖 Chatbot Development✨ Generative Ai📝 Prompt Engineering⚙️ Workflow Automation👶 Ai For Beginners
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 87%
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
Writing High-Performance .NET Code
by Ben Watson • 2014
Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.
4.30
291
💻 .Net Development⚡ Performance Tuning💾 Memory Management🔄 Asynchronous Programming📊 Code Profiling
Writing High-Performance .NET Code Summary
Writing High-Performance .NET Code 87%
Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.
by Ben Watson 2014
4.30
291 ratings
💻 .Net Development⚡ Performance Tuning💾 Memory Management🔄 Asynchronous Programming📊 Code Profiling
Creativity Code
by Marcus du Sautoy • 2019
AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.
3.94
2k+
🤖 Machine Creativity🎨 Ai Generated Art🖌️ Generative Art🤔 Philosophy Of Ai🧠 Cognitive Science
Creativity Code Summary
Creativity Code 87%
AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.
by Marcus du Sautoy 2019
3.94
2k+ ratings
🤖 Machine Creativity🎨 Ai Generated Art🖌️ Generative Art🤔 Philosophy Of Ai🧠 Cognitive Science
Superagency
by Reid Hoffman • 2025
AI multiplies human agency. That power will concentrate or spread. The choice is ours.
3.33
1k+
🏛️ Ai Policy🌅 Tech Optimism⚖️ Ai Ethics🔮 Future Of Work📊 Data Governance
Superagency Summary
Superagency 87%
AI multiplies human agency. That power will concentrate or spread. The choice is ours.
by Reid Hoffman 2025
3.33
1k+ ratings
🏛️ Ai Policy🌅 Tech Optimism⚖️ Ai Ethics🔮 Future Of Work📊 Data Governance
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
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 87%
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
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🏷️ Supervised Learning🎮 Reinforcement Learning🎲 Bayesian Inference
Introduction To Machine Learning Summary
Introduction To Machine Learning 87%
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🏷️ Supervised Learning🎮 Reinforcement Learning🎲 Bayesian Inference
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 87%
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
The Alignment Problem
by Brian Christian • 2020
AI learns our blind spots along with our data. Correcting that is the central problem in computing.
4.34
5k+
🎯 Ai Alignment🤖 Machine Learning Ethics⚖️ Algorithmic Bias🔍 Interpretable Ai🕹️ Reinforcement Learning
The Alignment Problem Summary
The Alignment Problem 87%
AI learns our blind spots along with our data. Correcting that is the central problem in computing.
by Brian Christian 2020
4.34
5k+ ratings
🎯 Ai Alignment🤖 Machine Learning Ethics⚖️ Algorithmic Bias🔍 Interpretable Ai🕹️ Reinforcement Learning
Deep Learning Design Patterns
by Andrew Ferlitsch • 2021
Data shift crushed your model? Simple design patterns push accuracy from 10% to 98%.
4.67
3
🧠 Deep Learning👁️ Computer Vision🔄 Data Augmentation📊 Distribution Shifts🏭 Production Ml
Deep Learning Design Patterns Summary
Deep Learning Design Patterns 87%
Data shift crushed your model? Simple design patterns push accuracy from 10% to 98%.
by Andrew Ferlitsch 2021
4.67
3 ratings
🧠 Deep Learning👁️ Computer Vision🔄 Data Augmentation📊 Distribution Shifts🏭 Production Ml
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🎯 Supervised Learning✅ Model Evaluation🤝 Ensemble Learning⚖️ Regularization Methods
The Elements of Statistical Learning Summary
The Elements of Statistical Learning 87%
The unified mathematical engine under linear regression, trees, and neural nets.
by Trevor Hastie 2001
4.43
2k+ ratings
📊 Statistical Learning🎯 Supervised Learning✅ Model Evaluation🤝 Ensemble Learning⚖️ Regularization Methods
Practical Time Series Analysis
by Aileen Nielsen • 2019
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
3.77
64
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation⚙️ Machine Learning Pipelines📊 Statistical Learning
Practical Time Series Analysis Summary
Practical Time Series Analysis 87%
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
by Aileen Nielsen 2019
3.77
64 ratings
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation⚙️ Machine Learning Pipelines📊 Statistical Learning
Java Deep Learning Essentials
by Yusuke Sugomori • 2016
Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.
3.20
5
🧠 Deep Learning☕ Java Machine Learning🔧 Practical Deep Learning👁️ Computer Vision🗣️ Natural Language Processing
Java Deep Learning Essentials Summary
Java Deep Learning Essentials 87%
Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.
by Yusuke Sugomori 2016
3.20
5 ratings
🧠 Deep Learning☕ Java Machine Learning🔧 Practical Deep Learning👁️ Computer Vision🗣️ Natural Language Processing
Prompt Engineering for Generative AI
by James Phoenix • 2024
Build AI that ships: systematic prompt design for text, images, and agents, not lucky guesses.
3.62
148
🎯 Prompt Engineering⚙️ Ai Engineering🎨 Text To Image📚 Rag Systems🤖 Ai Agents
Prompt Engineering for Generative AI Summary
Prompt Engineering for Generative AI 87%
Build AI that ships: systematic prompt design for text, images, and agents, not lucky guesses.
by James Phoenix 2024
3.62
148 ratings
🎯 Prompt Engineering⚙️ Ai Engineering🎨 Text To Image📚 Rag Systems🤖 Ai Agents
Machine Learning Simplified
by Andrew Wolf • 2022
Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.
4.87
193
🎯 Supervised Learning📚 Machine Learning Fundamentals📊 Statistical Learning✅ Model Evaluation🧹 Data Preprocessing
Machine Learning Simplified Summary
Machine Learning Simplified 87%
Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.
by Andrew Wolf 2022
4.87
193 ratings
🎯 Supervised Learning📚 Machine Learning Fundamentals📊 Statistical Learning✅ Model Evaluation🧹 Data Preprocessing
Artificial Intelligence Basics
by Tom Taulli • 2019
AI without the math: what machine learning does and where automation fits in your business.
3.50
210
🧠 Ai Fundamentals🏭 Ai Adoption🔄 Digital Transformation⚖️ Technology Ethics📊 Data Strategy
Artificial Intelligence Basics Summary
Artificial Intelligence Basics 87%
AI without the math: what machine learning does and where automation fits in your business.
by Tom Taulli 2019
3.50
210 ratings
🧠 Ai Fundamentals🏭 Ai Adoption🔄 Digital Transformation⚖️ Technology Ethics📊 Data Strategy
ChatGPT For Dummies (For Dummies
by Pamela Baker • 2023
ChatGPT's output depends entirely on your input. A complete guide to asking better.
3.34
229
🤖 Generative AI✍️ Prompt Engineering🧠 Large Language Models⚖️ AI Ethics🎓 AI In Education
ChatGPT For Dummies (For Dummies Summary
ChatGPT For Dummies (For Dummies 87%
ChatGPT's output depends entirely on your input. A complete guide to asking better.
by Pamela Baker 2023
3.34
229 ratings
🤖 Generative AI✍️ Prompt Engineering🧠 Large Language Models⚖️ AI Ethics🎓 AI In Education
Neural Network for Beginners
by Sebastian Klaas • 2021
Stop treating neural networks as magic. Build them from scratch in Python, line by line.
5.00
1
🧠 Machine Learning🧬 Deep Learning🔗 Neural Networks🔧 From Scratch Coding👁️ Image Recognition
Neural Network for Beginners Summary
Neural Network for Beginners 87%
Stop treating neural networks as magic. Build them from scratch in Python, line by line.
by Sebastian Klaas 2021
5.00
1 ratings
🧠 Machine Learning🧬 Deep Learning🔗 Neural Networks🔧 From Scratch Coding👁️ Image Recognition
Rise of Generative AI and ChatGPT
by Utpal Chakraborty • 2023
Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.
1.33
12
🧠 Generative Ai💼 Ai In Business⚖️ Ai Ethics💬 Natural Language Processing📖 Ai Literacy
Rise of Generative AI and ChatGPT Summary
Rise of Generative AI and ChatGPT 87%
Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.
by Utpal Chakraborty 2023
1.33
12 ratings
🧠 Generative Ai💼 Ai In Business⚖️ Ai Ethics💬 Natural Language Processing📖 Ai Literacy
These Strange New Minds
by Christopher Summerfield • 2025
Teach a machine to predict the next word. Eventually it reasons. Now it's learning to act.
4.10
339
🤖 Large Language Models🧠 Deep Learning🔮 Philosophy Of Mind💬 Philosophy Of Language🛡️ Ai Safety
These Strange New Minds Summary
These Strange New Minds 87%
Teach a machine to predict the next word. Eventually it reasons. Now it's learning to act.
by Christopher Summerfield 2025
4.10
339 ratings
🤖 Large Language Models🧠 Deep Learning🔮 Philosophy Of Mind💬 Philosophy Of Language🛡️ Ai Safety
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro • 2018
Nine Keras projects that bring reinforcement learning from theory to working self-learning agents.
4.00
1
🤖 Reinforcement Learning🧠 Deep Learning🔗 Neural Networks🛠️ Project-Based Learning🕹️ Game Playing Ai
Keras Reinforcement Learning Projects Summary
Keras Reinforcement Learning Projects 87%
Nine Keras projects that bring reinforcement learning from theory to working self-learning agents.
by Giuseppe Ciaburro 2018
4.00
1 ratings
🤖 Reinforcement Learning🧠 Deep Learning🔗 Neural Networks🛠️ Project-Based Learning🕹️ Game Playing Ai
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 87%
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
Beyond Vibe Coding
by Addy Osmani • 2025
AI generates 70% of the code, then stalls. Your job is the other 30%.
3.20
91
🤖 Ai-Assisted Coding💼 Developer Career Skills💬 Prompt Engineering🧱 Code Quality✅ Software Testing
Beyond Vibe Coding Summary
Beyond Vibe Coding 87%
AI generates 70% of the code, then stalls. Your job is the other 30%.
by Addy Osmani 2025
3.20
91 ratings
🤖 Ai-Assisted Coding💼 Developer Career Skills💬 Prompt Engineering🧱 Code Quality✅ Software Testing
Home
Search
Swipe
Library
Get App
Try Full Access for 3 Days
Listen, bookmark, and more
Compare Features Free Pro
📖 Read Summaries
Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries
Listen to unlimited summaries in 40 languages
 —
❤️ Unlimited Bookmarks
Free users are limited to 4
 —
📜 Unlimited History
Free users are limited to 4
 —
📥 Unlimited Downloads
Free users are limited to 1
 —
Risk-Free Timeline
Today: Get Instant Access
Listen to full summaries of 26,000+ books. That's 12,000+ hours of audio!
Day 2: Trial Reminder
We'll send you a notification that your trial is ending soon.
Day 3: Your subscription begins
You'll be charged on Jul 26,
cancel anytime before.
Consume 2.8× More Books
2.8× more books Listening Reading
Our users love us
600,000+ readers
Trustpilot Rating
TrustPilot
4.6 Excellent
This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.
— Dave G
Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!
— Em
Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.
— Greg M
Save 62%
Yearly
$119.88 $44.99/year/yr
$3.75/mo
Monthly
$9.99/mo
Start a 3-Day Free Trial
3 days free, then $44.99/year. Cancel anytime.
Unlock a world of fiction & nonfiction books
26,000+ books for the price of 2 books
Read any book in 10 minutes
Discover new books like Tinder
Request any book if it's not summarized
Read more books than anyone you know
#1 app for book lovers
Lifelike & immersive summaries
30-day money-back guarantee
Download summaries in EPUBs or PDFs
Cancel anytime in a few clicks
Scanner
Find a barcode to scan

⭐
⭐
⭐
We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
⭐
⭐
⭐
$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel
Settings
General
Widget
Loading...
⭐
⭐
⭐
We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
⭐
⭐
⭐
$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel