PISBN：9780128219294
出版社：Gulf Professional Publishing
出版时间：2021
作者：Belyadi,Hoss
主题词：Python,Machine Learning,Numpy,Well Logs,Time Series Regression,Decision Tree,Well Test Planning,Neural Network,Shale Reservoirs,Drilling,Pore Pressure,Fuzzy Logic,Deep Learning,Offshore,Oil And Gas,Unconventional Reservoir,Shale,Production,Petroleum Economics,Big Data,Petroleum Data,Activation Function,Adaptive Gradient Boosting,Anaconda Installation,Artificial Intelligence,Backpropagation,Biavariance Tradoff,Binary Classification,Box Plots,Center Of Gravity,Choke Adjustment,Cloud/Edge Computing,Cluster Maps,Convolutional Neural Network,Correlation,Crosvalidation,Crossover,Data Centers,Data Gathering And Integration,Data Mining,Data Normalization And Standardization,Decision Tree,Deep Learning,Defuzzification,Dendrogram,Densitbased Spatial Clustering Of Applications With Noise (Dbscan),Distribution Plots,Elbow Method,Estimated Ultimate Recovery (Eur),Evolutionary Algorithms,Extra Trees,Extreme Gradient Boosting,Feature Ranking,Feature Ranking And Selection,Fitness Function,Frac Intensity Prediction,Fuzzification,Fuzzy Means Clustering,Fuzzy Inference,Fuzzy Logic,Fuzzy Membership Function,Fuzzy Rules,Fuzzy Set Operations,Genetic Algorithm,Geomechanical Log Prediction,Global Optima,Gradient Boosting,Grid Search,Heat Maps,Hidden Layers,Hierarchical Clustering,Importing And Exporting Files In Pandas,Interactive Plots,Isolation Forest,Joint Plots,Jupyter Notebook,Fold Crosvalidation,Means Clustering,Nearest Neighbor (Knn),Keras,Learning Curve,Local Optima,Local Outlier Factor (Lof),Logistic Regression,Long Shorterm Memory,Machine Learning,Matplotlib,Maximization,Missing Data Imputation Of Frac Data,Model Evaluation,Mse,Multiclass Classification,Multilinear Regression,Mutation,Net Present Value (Npv),Net Present Value Prediction,Neural Network,Neurons,Nonnegative Matrix Factorization,Numpy Library,Pair Grids,Pair Plots,Pandas Library,Partial Dependence Plot,Particle Swarm Algorithm,Plotly,Position,Precision,Principal Component Analysis,Productivity Prediction,Pvt Estimation,Python,Random Forest,Recall,Regression,Rock Typing,Rop Prediction,Sand Production,Scikilearn,Seaborn,Set Theory,Machine Learning Guide For Oil And Gas Using Python: A Stebstep Breakdown With Data, Algorithms, Codes, And Applications
学科：TK 能源与动力工程
语种：英语
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