Towards AI

MARCH 17, 2023

Central limit theorem The basic definition of the central limit theorem can be stated as, “The sums or averages of a large number of independent and identically distributed random variables will be approximately normally distributed, regardless of the underlying distribution of the individual random variables.”

Hypothesis Testing 81

Hypothesis Testing Data Mining Data Mining Data Mining 81

Pickl AI

AUGUST 29, 2023

The process of statistical modelling involves the following steps: Problem Definition: Here, you clearly define the research question first that you want to address using statistical modeling. This could be linear regression, logistic regression, clustering , time series analysis , etc.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Dataconomy

MAY 16, 2023

Let’s explore the specific role and responsibilities of a machine learning engineer: Definition and scope of a machine learning engineer A machine learning engineer is a professional who focuses on designing, developing, and implementing machine learning models and systems.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

NOVEMBER 11, 2024

Here are some important blogs for you related to statistics: Process and Types of Hypothesis Testing in Statistics. Let’s dive into each type of mode with definitions and examples. Bimodal distributions are useful when the data has two peaks or clusters, reflecting two dominant groups within a single dataset.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Clustering 52

Pickl AI

NOVEMBER 5, 2024

This article explores the definitions of Data Science and AI, their current applications, how they are shaping the future, challenges they present, future trends, and the skills required for careers in these fields. Mastery of these tools allows Data Scientists to efficiently process large datasets and develop robust models.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence AI 52

Pickl AI

MAY 30, 2024

Problem Definition Identify the business problem or question and clearly define what needs to be addressed as the first step. Techniques like regression analysis, hypothesis testing , and clustering help uncover patterns and relationships within the data. Use statistical methods to identify and remove these anomalies.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

NOVEMBER 6, 2023

By visualizing data distributions, scatter plots, or heatmaps, data scientists can quickly identify outliers, clusters, or trends that might go unnoticed in raw data. By enabling users to interact with visual representations, Data Scientists can encourage deeper analysis, hypothesis testing, and knowledge discovery.

Data Visualization 52

Data Visualization Data Science Data Scientist Data Analysis 52