Index
A
B
C
D
E
F
G
H
- Haralick texture features
- harder dataset
- hierarchical clustering
- hierarchical Dirichlet process (HDP) / Choosing the number of topics
- house prices
- hyperparameters
I
J
K
- k-means clustering
- k-nearest neighbor (kNN) algorithm
- Kaggle
- keys
- KMeans
L
M
- machine learning (ML)
- machine learning application
- about / Our first (tiny) machine learning application
- data, reading / Reading in the data
- data, preprocessing / Preprocessing and cleaning the data
- data, cleaning / Preprocessing and cleaning the data
- learning algorithm, selecting / Choosing the right model and learning algorithm, Before building our first model, Starting with a simple straight line, Towards some advanced stuff, Stepping back to go forward – another look at our data, Training and testing, Answering our initial question
- Machine Learning Repository / Data sources
- Machine Learning Toolkit (MILK)
- machines
- Mahotas
- mahotas.features / Computing features from images
- mahotas computer vision package
- massive open online course (MOOC) / Online courses
- Matplotlib
- matshow() function / Using the confusion matrix to measure accuracy in multiclass problems
- maxentropy package / Learning SciPy
- MDS
- Mel Frequency Cepstral Coefficients
- Mel Frequency Cepstral Coefficients (MFCC) / Improving classification performance with Mel Frequency Cepstral Coefficients
- Mel Frequency Cepstrum (MFC) / Improving classification performance with Mel Frequency Cepstral Coefficients
- MetaOptimize
- MetaOptimized
- mfcc() function / Improving classification performance with Mel Frequency Cepstral Coefficients
- mh.features.haralick function / Computing features from images
- MLComp
- Modular toolkit for Data Processing (MDP)
- movie recommendation dataset
- MP3 files
- multiclass classification
- multiclass problems
- multidimensional regression
- MultinomialNB / Creating our first classifier and tuning it
- music
- music data
- Music Information Retrieval (MIR) / Improving classification performance with Mel Frequency Cepstral Coefficients
N
O
P
Q
R
S
T
U
- University of California at Irvine (UCI)
V
W
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