Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

Sebastian Raschka & David Julian & John Hearty [Raschka, Sebastian]
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Kategori:
Computers
Tahun:
2016
Penerbit:
Packt Publishing
Bahasa:
english
ISBN:
B01LD8K994
Fail:
AZW3 , 22.81 MB
IPFS:
CID , CID Blake2b
english, 2016
Memuat turun (azw3, 22.81 MB)
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    Istilah utama

     
    feature
    function
    features
    dataset
    models
    import
    regression
    values
    input
    classification
    algorithm
    layer
    linear
    neural
    algorithms
    network
    samples
    matrix
    techniques
    decision
    scikit
    gradient
    parameter
    python
    classifier
    labels
    output
    random
    method
    error
    clustering
    networks
    weights
    logistic
    validation
    approach
    sample
    parameters
    vector
    range
    kernel
    pca
    analysis
    accuracy
    cases
    regularization
    variables
    preceding
    numpy
    dimensional
    layers
    weight
    supervised
    functions
    probability
    descent
    variance
    apply
    y_train
    step

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