feat: new article

Author: DiogoRibeiro7

_posts/-_ideas/2030-01-01-Mathematics.md

@@ -1,24 +1,24 @@
 ---
-title: "Exploring Key Topics in Mathematics"
+author_profile: false
 categories:
 - Mathematics
-tags:
-- Algebra
-- Calculus
-- Number Theory
-- Geometry
-author_profile: false
-seo_title: "Comprehensive Articles on Mathematics"
-seo_description: "A curated list of articles that cover a wide range of topics in mathematics, from algebra and calculus to number theory and geometry, offering insights into key concepts and advanced topics."
-excerpt: "Explore a collection of articles that cover essential and advanced topics in mathematics, providing insights into various fields like algebra, calculus, number theory, and geometry."
-summary: "This collection of articles explores key topics in mathematics, offering insights into fundamental concepts and advanced theories. Covering areas like algebra, calculus, number theory, and geometry, these articles provide a comprehensive guide for students, researchers, and enthusiasts."
-keywords: 
+classes: wide
+excerpt: Explore a collection of articles that cover essential and advanced topics in mathematics, providing insights into various fields like algebra, calculus, number theory, and geometry.
+keywords:
 - articles on mathematics
 - algebra
 - calculus
 - geometry
 - number theory
-classes: wide
+seo_description: A curated list of articles that cover a wide range of topics in mathematics, from algebra and calculus to number theory and geometry, offering insights into key concepts and advanced topics.
+seo_title: Comprehensive Articles on Mathematics
+summary: This collection of articles explores key topics in mathematics, offering insights into fundamental concepts and advanced theories. Covering areas like algebra, calculus, number theory, and geometry, these articles provide a comprehensive guide for students, researchers, and enthusiasts.
+tags:
+- Algebra
+- Calculus
+- Number Theory
+- Geometry
+title: Exploring Key Topics in Mathematics
 ---
 
 ## List of Articles About Mathematics

_posts/-_ideas/2039-01-01-statistics.md

@@ -60,5 +60,3 @@ title: Exploring Key Topics in Statistics
 
 - **TODO: Correlation vs. Causation: Understanding Relationships Between Variables**
    - This article explains the difference between correlation and causation, a common point of confusion in statistical analysis. It discusses how to use correlation coefficients to measure the strength of relationships and how to determine causality using controlled experiments.
-
-

_posts/statistics/2019-12-31-machine_learning_statistics_bridging_gap.md

@@ -4,9 +4,7 @@ categories:
 - Statistics
 classes: wide
 date: '2019-12-31'
-excerpt: Machine learning is often seen as a new frontier, but its roots lie firmly
-  in traditional statistical methods. This article explores how statistical techniques
-  underpin key machine learning algorithms, highlighting their interconnectedness.
+excerpt: Machine learning is often seen as a new frontier, but its roots lie firmly in traditional statistical methods. This article explores how statistical techniques underpin key machine learning algorithms, highlighting their interconnectedness.
 header:
   image: /assets/images/data_science_19.jpg
   og_image: /assets/images/data_science_19.jpg
@@ -20,16 +18,10 @@ keywords:
 - Algorithms in machine learning
 - Linear regression
 - Support vector machines
-seo_description: This article explores the relationship between machine learning and
-  statistics, showing how statistical techniques form the foundation for many machine
-  learning algorithms, from linear regression to decision trees and support vector
-  machines.
-seo_title: 'Machine Learning and Statistics: How Statistical Methods Power Machine
-  Learning'
+seo_description: This article explores the relationship between machine learning and statistics, showing how statistical techniques form the foundation for many machine learning algorithms, from linear regression to decision trees and support vector machines.
+seo_title: 'Machine Learning and Statistics: How Statistical Methods Power Machine Learning'
 seo_type: article
-summary: Machine learning and statistics share deep connections. This article examines
-  the ways statistical methods form the backbone of machine learning algorithms, exploring
-  key techniques like regression, decision trees, and support vector machines.
+summary: Machine learning and statistics share deep connections. This article examines the ways statistical methods form the backbone of machine learning algorithms, exploring key techniques like regression, decision trees, and support vector machines.
 tags:
 - Machine learning
 - Statistics