ML.MD

Search

SearchSearch
          • accuracy
          • adjusted_r2
          • assumptions of linear discriminant analysis
          • autocorrelation
          • autoregression
          • bias
          • bias-variance tradeoff
          • boosting
          • bootstrap
          • causality test
          • classification
          • confusion matrix
          • cross valiation
          • decision tree
          • differencing
          • f1-score
          • Gini coefficient
          • Homoscedasticity
          • k-fold cross valiation
          • kernel trick
          • linear discriminant analysis
          • logistic regression
          • logloss
          • mean absolute error
          • mean squared error
          • model complexity
          • moving average
          • naive Bayes
          • natural language processing
          • partial autocorrelation
          • precision
          • r2
          • recall
          • regression
          • residual sum of squares
          • root mean squared error
          • stationary
          • stationary test
          • support vector classifiers
          • support vectors
          • text tokenization
          • total sum of squares
          • weak models
            • 6. Time Series with Pandas
            • 6.1. DateTime Index
            • 6.2. DateTime Index Part Two
            • 6.3. Time Resampling
            • 6.4. Time Shifting
            • 6.5. Rolling and Expanding
            • 6.6. Visualizing Time Series Data
            • 6.7. Visualizing Time Series Data - Part Two
            • 7. Time Series Analysis with Statsmodels
            • 7.1. Introduction to Statsmodels Library
            • 7.2. ETS Decomposition
            • 7.3. EWMA Theory
            • 7.4. EWMA Exponential Weighted Moving Average
            • 7.5. Holt-Winters Method Theory
            • 7.6. Holt-Winters Method Code - Part 1
            • 7.7. Holt-Winters Method Code - Part 2
            • 8. General Forecasting
            • 8.1 Introduction to Forecasting Models Part 1
            • 8.2 Evaluating Forecast Predictions
            • 8.3 Introduction to Forecasting Models Part 2
            • 8.4 ACF and PACF Theory
            • 8.5 ACF and PACF Code Along
            • 8.6 ARIMA Overview
            • 8.7 Autoregression - AR - Overview
            • 8.8 Autoregression - AR with Statmodels
            • 8.9 Descriptive Statistics and Tests - Part 1
            • 8.10 Descriptive Statistics and Tests - Part 2
            • 8.11 Descriptive Statistics and Tests - Part 3
            • 8.12 Arima Theory Overview
            • 8.13 Choosing ARIMA Orders - Part 1
            • 8.13 Choosing ARIMA Orders - Part 2
            • 8.14 ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part 1
            • 8.14 ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part 2
            • 8.15. SARIMA - Seasonal Autoregressive Integrated Moving Average
            • 8.16 SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - Part 1
            • 8.17 SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - Part 2
        • $\chi^2$ Distribution
        • A New Way to Predict Probability Distributions by Harrison Hoffman Feb, 2023 Towards Data Science
        • Chi-Square and Standard Normal Theorem
        • Confidence Level
        • Construction of Manifold in R2
        • Correlation — When Pearson’s r Is Not Enough by Farzad Mahmoodinobar Feb, 2023 Towards Data Science
        • Decision Rule
        • Example - Differentiation of a Differential Form
        • Gamma, Exponential and Chi-Squared Distributions
        • Independent Random Variables
        • Indicator Function
        • Integration Of Differential Forms
        • Log-Normal Distribution
        • Multiplication Of 1-Forms
        • Normal Distribution
        • Notions of Distance
        • P-value
        • parametric probabilistic model
        • Poisson as the Limit of Binomial Distribution
        • Properties of Differentiation
        • README
        • Recall Hypothesis Test
        • References on Analysis
        • References on Differential Geometry
        • References on Numerical Analysis
        • References on Optimization
        • References on PDEs and Functional Analysis
        • References on Probability Theory
        • Rejection Region
        • Relationship Between Bernoulli and Binomial Distributions
        • Significance Level
        • Simple or Composite Hypothesis
        • Statistical Test
        • T Distribution
        • T Distribution Theorem
        • Test
        • Test Quality Function
        • Test Statistic
        • Type II Error
        • Type-I Error
        • Type-I Error Rate
        • Type-II Error Rate
        • Understanding Noisy Data and Uncertainty in Machine Learning by Harrison Hoffman Jan, 2023 Towards Data Science
        • 17 Statistical Hypothesis Tests in Python (Cheat Sheet)
        • A Gentle Introduction to Statistical Hypothesis Testing
        • README
          • Bernoulli Distribution
          • Beta Distribution
          • Binomial Distribution
          • Exponential Distribution
          • Gamma Distribution
          • Gaussian Distribution
          • Geometric Distribution
          • Pareto Distribution
          • Probability Distributions
        • 1-form
        • Abstract Measure
        • Accumulation Point
        • Accumulation Points and Closed Sets
        • Akaike Information Criterion
        • Analysis of Variance Test (ANOVA)
        • Anderson-Darling Test
        • Atlas
        • Augmented Dickey-Fuller
        • Banach Space
        • Basis for Topology
        • Bayes' Theorem
        • Bayesian Information Criterion
        • Borel Sigma Algebra
        • Boundary of a Set
        • Bounded Set
        • Cauchy Sequence
        • Chain Rule
        • Chart and Coordinate Neighborhood
        • Chi-Squared Test
        • Closed and bounded sets are compact
        • Closed Set
        • Closed Set and Closure
        • Closed Subsets are Compact
        • Closure of a Set
        • Closure of a Set is Closed
        • Compact Set
        • Compact Subsets of a Hausdorff Space are Closed
        • Compact Topological Space
        • Compatability of Coordinates
        • Complete Metric Space
        • Conditional Probability
        • Connected Topological Space
        • Continous Differentiability
        • Continuity in terms of Preimage
        • Continuous Function
        • Contracting Mapping Theorem
        • Convergence of a Sequence in terms of a Metric
        • Convergence of a Sequence in terms of Open Sets
        • Convergent and Cauchy Sequences
        • Coordinate Neighborhood
        • Corollary Tangent Vectors are Derivations
        • Correlation of Random Variables
        • Cotangent Space
        • Countably Additive Function
        • Covariance of Random Variables
        • Covariance, Correlation and Independence
        • Covector Field
        • Cover
        • Curve
        • D’Agostino’s $K^2$ Test
        • Density
        • Derivation
        • Diffeomorphism
        • Differentiability and Partial Derivatives
        • Differentiable
        • Differentiable Manifold
        • Differential Forms
        • Differentiation Of Differental Forms
        • Directional Derivative
        • Dual Space
        • Entropy
        • Euclidean Product of Differentiable Manifolds
        • Euclidean Space
        • Euclidean Tangent Space
        • Existence of Isometric Spaces
        • Expected Value of a Random Variable
        • First Variation
        • Friedman Test
        • Functional
        • Functions and Mappings
        • Gaussian is the Limit of Binomial
        • Gaussian is the Limit of Poisson
        • Hausdorff Space
        • Hausdorff Topological Space
        • Hilbert Space
        • Homeomorphism
        • Image of an Open Set Under Continuous Function
        • Induced Topology of a Metric
        • Inner Product
        • Interior of a Set
        • Interior Point and Interior of a Set
        • Inverse Function Theorem
        • Isometric Spaces
        • Jacobian Matrix
        • Kendall’s Rank Correlation
        • Kruskal-Wallis H
        • Kwiatkowski-Phillips-Schmidt-Shin
        • Lebesgue Integral
        • Lebesgue Measure
        • Likelihood Function
        • Limit of a Sequence
        • Local Criterion for Openness
        • Local Minimum
        • Locally Euclidean
        • Lp Norm
        • Mann-Whitney U Test
        • Markov Chain Monte Carlo
        • Measurable Function
        • Measure
        • Measure Space
        • Metric
        • Metric Neighborhood
        • Metric Open Set
        • Metric Set Closure
        • Metric Space
        • Metric Spaces are Hausdorff
        • Metrical Continuous Function
        • Metrizable Topological Space
        • Moment Generating Function
        • Monte Carlo
        • N-form
        • Negative Binomial Distribution
        • Neighborhood
        • Norm
        • Open Ball
        • Open Balls and Open Sets
        • Open Balls Are Open Sets
        • Open Set
        • Open Set and Interior
        • Orientation
        • Paired Student’s T-test
        • Partial Derivative
        • Partition of Unity
        • Pearson’s Correlation Coefficient
        • Pointwise Continuity
        • Poisson Distribution
        • Preimage
        • Probability Density Function
        • Probability Distribution
        • Probability Mass Function
        • Probability Measure
        • Random Variable
        • Rank of a Matrix
        • Rank of a Vector-Valued Function
        • Rank Theorem
        • README
        • Relationship between metric and norm
        • Repeated Measures ANOVA Test
        • Sequence
        • Sequence lemma
        • Sequential Compactness
        • Set Closure
        • Shapiro-Wilk
        • Sigma Algebra
        • Spearman’s Rank Correlation
        • Statistical Tests
        • Student’s T-test
        • Tangent Space
        • Tangent Vectors as Derivations
        • The Relationship Between Topological and Measurable Spaces
        • Topological Continuous Function
        • Topological Cover
        • Topological Manifold
        • Topological Neighborhood
        • Topological Open Set
        • Topological Set Closure
        • Topological Space
        • Topological Space Induced by the Metric Space
        • Topology
        • Uniqueness of Coordinates
        • Uniqueness of the Limit
        • Variance and Standard Deviation of a Random Variable
        • Vector Field
        • Vector Fields as Derivations
        • Vector Space
        • Wilcoxon Signed-Rank Test
        • [object Object]
        • [object Object]
        • [object Object]
        • A comprehensive introduction do differential geometry
        • A geometric approach to differential forms
        • A Short Introduction to Metric Spaces
        • An introduction to differentiable manifolds and riemannian geometry
        • An introduction to machine learning
        • An introduction to manifolds
        • An introduction to riemannian geometry
        • An introduction to statistical learning
        • Beginning function analysis
        • Book of Proof
        • Citation Needed
        • Introduction to algorithms for data mining and machine learning
        • Introduction to Graph Theory
        • Introduction to Mathematical Philosophy
        • Introduction to topology
        • Machine Learning Mastery
        • Measure Theory
        • Naive Set Theory
        • Number Theory
        • Partial Differential Equations in Action
        • Philosophy of Mathematics
        • Principles of econometrics
        • Probability and statistics
        • README
        • Real Analysis and Probability
        • Tao, T. -- An epsilon of room-pages from year three of a mathematical blog.pdf
        • The algorithm design manual
        • The data science design manual
        • The elements of statistical learning
        • The general linear model 20/21
        • The matrix cookbook
        • The Pleasures of Probability
        • Theories of Integration: the Integrals of Riemann, Lebesgue, Henstock-Kurzweil, and McShane, S. in Real Analysis
        • Time series analysis and its applications
        • Topology, Manifolds and Differential Geometry
      • Changelog
      • Complete Space
      • countable basis
      • MOC - Functional Analysis
      • MOC - Topology
      • Probability Theory
      • README
      • Statistics
      • The Statistical Tests Table
    Home

    ❯

    MOC - Topology

    MOC - Topology

    Apr 23, 20241 min read

    Topology

    Metric Spaces

    • Open Set
    • Closed Set
    • Neighborhood
    • Accumulation Point
    • Closure
    • Continuity
    • Pointwise Continuity
    • Topological Space Induced by the Metric Space
    • Isometric Spaces
    • Complete Metric Space

    Topological Spaces

    • Neighborhoods
    • Sets
      • Open
      • Closed
      • Closure
      • Interior
      • Boundary
    • Continuous function
    • Homeomorphism

    Connectedness

    Compactness

    • Compact Topological Space
    • Heine-Borel theorem

    References

    • Mendelson, B. - Introduction to Topology
    • A Short Introduction to Metric Spaces
    • Bourbaki, N. - General Topology Chapters 1-4
    • Tu, L. W. - An introduction to Manifolds

    Graph View

    • Topology
    • Metric Spaces
    • Topological Spaces
    • Connectedness
    • Compactness
    • References

    Backlinks

    • Central Note

    Created with Quartz v4.2.3 © 2024

    • GitHub
    • Discord Community