K
Kirk Borne
29 books recommended
Recommendations are sourced from public posts, interviews, and reading lists.
BookMentions tracks public recommendations from interviews, posts, reading lists, and source references. Books with available evidence include proof links below.
Recommended Books
These books include Amazon options and source proof where available.
HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow
2 recs
✓ Source link availableView source ↓
No cover
Cyber Minds
Cyber Minds
1 recs
✓ Source proof availableView proof ↓
Infinite Powers
10 recs
✓ Source link availableView source ↓
No cover
ApproachingAny Machine Learning Problem
ApproachingAny Machine Learning Problem
1 recs
✓ Source proof availableView proof ↓
Data Science for Business
1 recs
✓ Source proof availableView proof ↓
HandsOn Deep Learning Algorithms with Python
1 recs
✓ Source proof availableView proof ↓
Deep Reinforcement Learning HandsOn
1 recs
✓ Source proof availableView proof ↓
No cover
Applied Predictive Modeling
Applied Predictive Modeling
1 recs
✓ Source proof availableView proof ↓
Data Mining Techniques
1 recs
✓ Source proof availableView proof ↓
Machine Learning for Algorithmic Trading
1 recs
✓ Source proof availableView proof ↓
Source & Proof
We found a public source for this recommendation, but quote text is hidden because attribution could not be safely verified.
Cyber Minds80% Confidence
“"Cyber Minds” offers insights on #Cybersecurity recommendations across the #Cloud, #BigData, #AI, #Blockchain and #IoT: ——————— #DataScience #MachineLearning #IIoT #IoTPL #DataSecurity #AnomalyDetection ——— See book: by @Shirastweet”
Infinite Powers80% Confidence
We found a public source for this recommendation, but quote text is hidden because attribution could not be safely verified.
ApproachingAny Machine Learning Problem80% Confidence
“[Excellent Book] Approaching (Almost) Any #MachineLearning Problem: by @abhi1thakur (4X Kaggle Grandmaster) + See article: ——————— #BigData #AI #DataScience #DataScientists #DeepLearning #BeDataBrilliant #FeatureEngineering #Python”
Data Science for Business80% Confidence
“Great book for Business Analytics and for building #AnalyticThinking >> “#DataScience for Business — What You Need to Know about #DataMining and DataAnalytic Thinking”: #BigData #MachineLearning #DataStrategy #AnalyticsStrategy #Algorithms”
HandsOn Deep Learning Algorithms with Python80% Confidence
“#DataScientist’s Dilemma: The Cold Start Problem – see 10 #MachineLearning Examples: ———————— #BigData #DataScience #Algorithms #DataLiteracy #MetaLearning #AI #NeuralNetworks #DeepLearning #Mathematics ————— +See this book:”
Deep Reinforcement Learning HandsOn80% Confidence
“Introduction to various #ReinforcementLearning #Algorithms: ————— #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #Mathematics #abdsc ————— ++See this book:”
Applied Predictive Modeling80% Confidence
“Find more than 40 useful #PredictiveModeling articles here at @DataScienceCtrl #abdsc ———— #BigData #DataScience #AI #MachineLearning #Forecasting #Statistics #PredictiveAnalytics ——— +This is the best book on the subject:”
Data Mining Techniques80% Confidence
“If you are just starting your #MachineLearning learning journey, I recommend this as a great beginner’s book: “#DataMining Techniques for Marketing, Sales and Customer Relationship Management” (Third Edition) #BigData #DataScience #AI #DataScientist #CX”
Machine Learning for Algorithmic Trading80% Confidence
“A pathway to learning #Python for #AlgorithmicTrading: ————— #BigData #DataScience #AI #MachineLearning #Coding #DataScientists #IoT #IoTPL #TimeSeries #PredictiveAnalytics #Statistics ———— + See this brilliant book: by @ml4trading”
How this profile is built
This profile tracks book recommendations and authored books for Kirk Borne. We compile recommendations from verifiable public sources, including interviews, articles, social posts, and official reading lists. Profiles are only published when they meet our thresholds for completeness, verified details, and supporting evidence.