从这里开始
指南
▼
▲
Persistence
Spring持久化指南
REST
使用Spring构建REST API指南
Security
Spring Security指南
关于
English
分类: Math Logic
>> Euclidean Distance vs Cosine Similarity
>> How to Check if a Number is Balanced?
>> Monotonic Functions in Computer Science
>> Feature Selection in Machine Learning
>> How to Invert PCA?
>> What Is Cognitive Science?
>> An Introduction to the Hilbert Transform
>> How to Calculate Signal-To-Noise Ratio?
>> Comparison of the Fourier and Laplace Transforms
>> Introduction to Automated Reasoning
>> One-Hot Encoding Explained
>> Probability: Joint vs. Marginal vs. Conditional
>> Combinatorial Optimization
>> Random Variables
>> What Is the Difference Between Linear and Circular Convolution?
>> How to Interpret a t-SNE plot?
>> Eigenvectors and Eigenvalues
>> How Does the Null Hypothesis Work?
>> Gray Code vs Natural Binary Representation
>> A Geometric Interpretation of Cramer’s Rule
>> Check if the Digits of a Number Are All Increasing or Decreasing (Monotonic Values)
>> What Is the Riemann Zeta Function?
>> Skewness and Kurtosis in Statistics
>> Check if a Binary Number Is Divisible by 3
>> SAT and 3-SAT - Cook-Levin Theorem
>> Propositional Logic
>> First-Order Logic
>> Why Does the Cost Function of Logistic Regression Have a Logarithmic Expression?
>> Boolean Algebra: Basic Laws
>> Finding XOR of All Numbers in a Given Range
>> How to Prove That a Problem Is NP-Complete?
>> What the Correlation Coefficient Actually Represents
>> Understanding Forecast Accuracy: MAPE, WAPE, WMAPE
>> Maximizing Profit for Given Stock Quotes
>> The Difference Between Lower Bound and Tight Bound
>> Time Complexity of Euclid's Algorithm
>> Matrix Multiplication Algorithm Time Complexity
>> Haversine Formula
>> How to Determine if a List of Polygon Points Are in Clockwise Order
>> Using Min/Max Within an Integer Linear Program
>> Find Local Minimum in N x N Matrix
>> Correlated Features and Classification Accuracy
>> Gradient Descent Equation in Logistic Regression
>> How to Improve Naive Bayes Classification Performance?
>> Alternatives of Ten – Binary, Octal, Hexadecimal
>> Ackermann Function
>> Polynomial Addition and Multiplication Using Linked List
>> Pairing Socks From a Pile Efficiently
>> Fermat Primality Test
>> Primality Test: Miller-Rabin Method
>> Algorithms to Check If a Number Is a Power of 2
>> Finding the Next Smaller Element for Each Element in an Array
>> The Most Efficient Way to Implement an Integer Based Power Function
>> Searching in a Sorted and Rotated Array
>> Linked List / Double Linked List
>> Hash Table vs. Balanced Binary Tree
>> Finding Three Elements in an Array Whose Sum Is Closest to a Given Number
>> Sine Cosine Algorithm
>> Choosing the best q and p from ACF and PACF plots in ARMA-type modeling
>> Extended Euclidean Algorithm
>> An Algorithm for Inflating and Deflating Polygons
>> Fastest Algorithm to Find Prime Numbers
>> How Many Principal Components to Take in PCA?
>> Generating Permutations with Repetition
>> Circle Line-Segment Collision Detection Algorithm
>> Streaming Median
>> What Is Selection Bias and How Can We Prevent It?
>> Basics of Polynomial Interpolation
>> The Monty Hall Problem
>> Master Theorem for Asymptotic Analysis
>> Multi-Verse Optimizer
>> An Introduction to the Hidden Markov Model
>> What Is a Random Walk?
>> Introduction to Curve Fitting
>> Pseudo-Polynomial vs. Polynomial Complexity
>> What Is the Difference Between Natural Cubic Spline, Hermite Spline, Bézier Spline and B-Spline?
>> What Is Depth in a Convolutional Neural Network?
>> How to Test if a Number Is a Fibonacci Number
>> Robust Estimators in Robust Statistics
>> Differences Between Strong-AI and Weak-AI
>> Determining the Most Distant Pair of Points
>> Intersection Over Union for Object Detection
>> Fast Algorithms for Solving a System of Linear Equations
>> Interpolation and Regression: Similarities and Differences
>> Converting Floats into Fractions
>> What’s a Hypothesis Space?
>> Sampling From the Exponential Distribution
>> Correcting Fisheye Images
>> How to Project a 3D Point Onto a 2D Plane?
>> What Is Constrained Optimization?
>> The XOR Operation
>> Finding Neighbors of a Matrix Cell
>> Optimization: Objective Functions, Decision Variables and Constraints
>> Calculating the Odds of a Team Winning a Sports Match Given Full History
>> Optimization: Local vs. Global Optima
>> How to Calculate the Angle from Rotation Matrix
>> Calculating the Average of a Set of Circular Data
>> Why Use a Surrogate Loss
>> Finding the Digital Root
>> Differences Between Transfer Learning and Meta-Learning
>> Bayes’ Theorem
>> Statistical Independence
>> Introduction to Gibbs Sampling
>> The 3Sum Problem
>> Information Theory
>> Differences Between Homography and Affine Transformation
>> How to Check if a Line Segment Intersects a Rectangle?
>> Maximum Likelihood Estimation
>> Modulus Division
>> Recognizable vs. Co-recognizable vs. Decidable Languages
>> 2D Convolution as a Matrix-Matrix Multiplication
>> What Is Singular Value Decomposition?
>> Unit Digit in Exponentiation: How to Compute It?
>> How to Rotate a Two-Dimensional Array
>> How to Convert Radians to Degrees and Vice Versa?
>> Matrix Chain Multiplication Using Dynamic Programming
>> Finding the “Visual” Center of a Polygon
>> What Are i.i.d. Random Variables?
>> Softmax vs. Log Softmax
>> Should We Use the Euclidean Metric in High Dimensions?
>> Explanation of the Number e (Euler’s Number)
>> What Is “Energy” in Image Processing?
>> XOR Swap
>> What Is Cosine Similarity?
>> The Mahalanobis Distance
>> Transfer Learning vs Domain Adaptation
>> Stack Data Structure
>> Linear Regression vs. Logistic Regression
>> Finding a Matrix Determinant
>> What Is the Difference Between Gradient Descent and Gradient Ascent?
>> Why Are Floating Point Numbers Inaccurate?
>> Infix, Prefix, and Postfix Expressions
>> Antipatterns: Magic Numbers
>> Binary Trees vs. Linked Lists vs. Hash Tables
>> The Importance of Central Limit Theorem
>> How to Find an Area of Overlapping Rectangles
>> From Recursion to Iteration – Factorial Function Example
>> How to Calculate the Area of a 2D Polygon?
>> Maximum Single-Sell Profit
>> The Pigeonhole Principle
>> Sum of Digits in Factorial
>> Grey Wolf Optimization Algorithm
>> Fast Fourier Transform (FFT)
>> Deep Dive Into Optimization
>> The Direct Linear Transform
>> Fuzzy Logic Explained
>> Dijkstra vs Floyd-Warshall Algorithms