The role of engineers in problem space analysis alongside product managers. The inverted pyramid scheme for problem statement articulation. Section 3: Approximating a Solution through an ML System Key Concepts: Reframing business problems into software/ML problems. The heuristic of approximating the beh...
This is a regression introduced in conda 23.11.0 when the platformdirs library was adopted. (#13517 via #13520) Interpret missing Cache-Control header as max-age=0 instead of exception. (#13522) Deprecations Mark conda_env/cli/common as pending deprecation. Use conda.cli.common instead. (...
In statistical modeling we usually use parametric approaches (e.g., think of linear or logistic regression as the simplest examples of parametric models – we specify the number of parameters upfront), whereas in machine learning, we often use nonparametric approaches, which means that we don’t...
The QSAR model considered for the experiments requires certain statistical parameters to be met: the regression coefficient of R2 should be in a standard range of 0.6–0.9, standard deviation should have the smallest possible value to zero and F and P methods should have the largest value possibl...
The rapid evolution of the viral genome, focused mainly on S-protein mutations, creates problems when using the S-protein as a target for drug discovery. Therefore, the use of highly specific and more mutation-resistant targets is necessary for the development of new drugs against SARS-CoV-2....
Active, high-dosage statin use beneficially influenced the composition of carotid atherosclerosis and shifted the composition from vulnerable plaque with a lipid core to more stable calcified plaque [135]. We showed both visual progression and regression of intra-plaque hemorrhage (IPH) volume during ...
In this study, statistical and soft-computing methods are compared in forecasting groundwater levels under Shared Socioeconomic Pathways (SSPs) SSP1-2.6, S
(ML) in MEGA v. 7.053and Bayesian Inference (BI) with the Mr.Bayes v. 3.2.554and *BEAST v. 2.055algorithms. Kimura2-Parameters (K2P) distances56were used for the NJ analysis, with 5000 replicates, while the ML and BI analyses were inferred using the General Time Reversible (GTR) +...
(2018 ACM CSUR) A Survey of Learning Causality with Data: Problems and Methods. Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu. [pdf] (2015 Political Analysis) The Statistics of Causal Inference: A View from Political Methodology. Luke Keele. [pdf] 1.3 Toolboxes Causal...
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