Machine Learning mind maps
106 mind maps by 94 users · Page 3 of 3
This page gathers over 100 Machine Learning mind maps made by GoConqr users, covering topics from classification and regression to clustering and evaluation. They give university students material to revise these topics and teachers resources for university teaching. Browse the maps and choose a topic to explore.
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- Types of Learning26
- Machine Learning Workflow and Deployment13
- Data Preparation7
- Feature Engineering and Dimensionality Reduction12
- Model Training and Optimization6
- Model Evaluation and Generalization14
- Regression25
- Classification8
- Decision Trees and Ensemble Learning11
- Support Vector Machines and Kernel Methods5
- Bayesian and Probabilistic Models13
- Clustering18
- Neural Networks and Deep Learning5
- Association Rules and Recommender Systems5
- Machine Learning Applications10
Mind maps
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17 nodesMachine Learning Related Fields · Learning Methods · Building Blocks
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10 nodesGeneralization Overfitting · underfitting
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9 nodesMachine learning Week 2 multivariate linear r... · Gradient Descent for ... · Scaling Features · Mean Normalization · Learning rate · Polynomial Regression
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12 nodesFeature Engineering Manual · Automated (Feature Le...
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8 nodesK-MEANS CLUSTERING very efficient in clu... · “K” refers to · “means”
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11 nodesPremier League Prediction Programming Language · Data Analysis · Data Extraction · Data Model · Machine Learning Algo...
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14 nodesDecision trees partition data space · components · building a decision tree
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9 nodesModels Parametic · Non-parametric
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13 nodesMachine Learning Instance Based · Dimensionality Reduction · Clustering · Regression · Neural Network · Bayesian
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7 nodesscipy.cluster.hierarchy.linkage(y, method='single') method=’average’ · method=’weighted’ · method=’centroid’ · method=’single’ · method=’median’ · method=’ward’
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10 nodesMachine Learning Techniques Supervissed · Unsupervised
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5 nodesData reduction by sampling In IBM SPSS Modeler
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7 nodesWeek 2 Naive Bayes Algorithm · Supervised Learning
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8 nodesStatistical Relational Learning scores and discovers ... · make predictions · cluster · Machine Learning
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13 nodesSupervised Learning TREES · INDUCTIVE LOGIC PROGR...
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6 nodesPHISHING WEBSITE CLASSIFICATION USING K-NEAREST NEIGHBORS ALGORITHM Similar works · Classification · Phishing website · K-Nearest neighbor al...
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8 nodesMetrics Correlation Functions · Loss cost Functions
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6 nodesMachine Learning Types Unsupervised Learning · Supervised Learning · Semi-supervised Learning · Reinforcement Learning
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24 nodesUnsupervised tagging HMM · Comparison · BHMM
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9 nodesProbabilistic Graphical Models Representation · Learning · Inference
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5 nodesCLASSIFICATION Feature Mining · Supervised Classifica... · Spatial-Spectral Clas... · Semi-supervised Class...
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4 nodesNon hierarchical clustering Sequential threshold ... · parallel threshold · optimizing partitioni...
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6 nodesALGORITHMS SUPERVISED · UNSUPERVISED · REINFORCE LEARNING · SEMI SUPERVISED · ACTIVE LEARNING
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12 nodesMachine Learning Reinforcement Machine... · Unsupervised Machine ... · Supervised Machine le...
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12 nodesUntitled Naive Bayes Classific... · Logistic Regression · Decision Trees · Support Vector Machines · Ensemble Methods · Clustering Algorithms
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7 nodesFive major intellectual “tribes” of machine learning. Master Algorithm would combine elements of all the Symbolists · the Connectionists · the Evolutionaries · the Bayesians · the Analogizers