Index of /academy/pdf

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[ ]_STEP -1 _ PROGRAM INTRODUCTION.pptx.pdf2026-02-21 09:15 30M 
[ ]_STEP 0 _ FOUNDATIONS - 0.1 - CALCULUS & TOOLS FOR STATISTICS & ML.pptx.pdf2026-02-21 09:15 9.3M 
[ ]_STEP 0 _ FOUNDATIONS - 0.2 - EPISTEMOLOGY & THEORY OF KNOWLEDGE (45min).pptx.pdf2026-02-21 09:15 1.5M 
[ ]_STEP 1 _ SYSTEMS THEORY - 1.1 - DYNAMICAL SYSTEMS.pptx.pdf2026-02-21 09:15 3.4M 
[ ]_STEP 1 _ SYSTEMS THEORY - 1.2 - COMPLEX ADAPTIVE SYSTEMS (45min).pptx.pdf2026-02-21 09:15 3.0M 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.1 - MEASURE THEORY.pptx.pdf2026-02-21 09:15 2.1M 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.2 - PROBABILITY THEORY.pptx.pdf2026-02-21 09:15 11M 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.3 - USUAL PROBABILITY DISTRIBUTIONS.pptx.pdf2026-02-21 09:15 10M 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.4 - ASYMPTOTIC STATISTICS (45min).pptx.pdf2026-02-21 09:15 915K 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.5 - STOCHASTIC PROCESS & TIME SERIES (45min).pptx.pdf2026-02-21 09:15 1.8M 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.6 - INFORMATION GEOMETRY (45min).pptx (1).pdf2026-02-21 09:15 777K 
[ ]_STEP 2 _ STOCHASTIC DYNAMICS & PROBABILITY - 2.6 - INFORMATION GEOMETRY (45min).pptx.pdf2026-02-21 09:15 777K 
[ ]_STEP 3 _ DATA OBSERVATION - 3.2 - DESCRIPTIVE STATISTICS & EXPLORATORY DATA ANALYSIS (45min).pptx.pdf2026-02-21 09:15 1.3M 
[ ]_STEP 4 _ INFERENCE & ESTIMATION THEORY - 4.1 - PARAMETERS ESTIMATIONS & LEARNING (45min).pptx.pdf2026-02-21 09:15 6.0M 
[ ]_STEP 4 _ INFERENCE & ESTIMATION THEORY - 4.2 - EXPERIMENTAL DESIGN & HYPOTHESIS TESTING (45min).pptx.pdf2026-02-21 09:15 3.6M 
[ ]_STEP 4 _ INFERENCE & ESTIMATION THEORY - 4.3 - STATISTICAL SAMPLING METHODS (45min).pptx.pdf2026-02-21 09:15 1.2M 
[ ]_STEP 4 _ INFERENCE & ESTIMATION THEORY - 4.4 - DECISION TREES & MODEL SELECTION AND EVALUATION (45min).pptx.pdf2026-02-21 09:15 5.0M 
[ ]_STEP 4 _ INFERENCE & ESTIMATION THEORY - 4.5 - BAYESIAN INFERENCES (45min).pptx.pdf2026-02-21 09:15 1.2M 
[ ]_STEP 5 _ LINEAR MODEL EXAMPLES - 5.1 - SIMPLE LINEAR REGRESSION (45min).pptx.pdf2026-02-21 09:15 6.5M 
[ ]_STEP 5 _ LINEAR MODEL EXAMPLES - 5.2 - MULTIPLE LINEAR REGRESSION (45min).pptx.pdf2026-02-21 09:15 8.5M 
[ ]_STEP 5 _ LINEAR MODEL EXAMPLES - 5.3 - OTHER REGRESSIONS MODELS (45min).pptx.pdf2026-02-21 09:15 1.4M 
[ ]_STEP 6 _ OTHER CLASSICAL MODEL EXAMPLES - 6.1 - USUAL UNIVARIATE TESTING (45min).pptx.pdf2026-02-21 09:15 1.4M 
[ ]_STEP 6 _ OTHER CLASSICAL MODEL EXAMPLES - 6.2 - USUAL MULTIVARIATE TESTING (45min).pptx.pdf2026-02-21 09:15 1.3M 
[ ]_STEP 6 _ OTHER CLASSICAL MODEL EXAMPLES - 6.3 - NON PARAMETRIC STATISTICS (45min).pptx.pdf2026-02-21 09:15 1.6M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.1 - PROBABILISTIC GRAPHICAL MODELS (45min).pptx.pdf2026-02-21 09:15 2.3M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.2 - PERCOLATION THEORY (45min).pptx.pdf2026-02-21 09:15 2.2M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.3 - SPATIAL STATISTICS (45min).pptx (1).pdf2026-02-21 09:15 1.1M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.3 - SPATIAL STATISTICS (45min).pptx.pdf2026-02-21 09:15 1.1M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.4 - EXTREM VALUE THEORY (45min).pptx.pdf2026-02-21 09:15 1.1M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.5 - NETWORK DYNAMICS (45min).pptx.pdf2026-02-21 09:15 1.3M 
[ ]_STEP 7 _ NON LINEAR MODELS EXAMPLES - 7.6 - AGENT BASED MODELING (45min).pptx.pdf2026-02-21 09:15 1.6M 
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