ODSC - Open Data Science

NOVEMBER 5, 2024

Some data points only have a 0.0005976% chance to have arranged themselves randomly around a line. Hypothesis Testing and Machine Learning Now here’s the kicker: when you do machine learning (including that simple linear regression above), you are in fact searching for hypotheses that identify relationships in the data.

Hypothesis Testing 52

Hypothesis Testing Machine Learning Machine Learning Data Mining 52

Towards AI

MARCH 17, 2023

Last Updated on March 19, 2023 by Editorial Team Author(s): Chinmay Bhalerao Originally published on Towards AI. Random variable: Statistics and data mining are concerned with data. How do we link sample spaces and events to data? One of the most important applications is hypothesis testing. [I

Hypothesis Testing 98

Hypothesis Testing Data Mining Data Mining Data Mining 98

AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. They face many challenges because of the increasing variety of tools and amount of data.

AWS 139

AWS AI AI Database 139

Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively. It offers simple and efficient tools for data mining and Data Analysis.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

OCTOBER 14, 2024

Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information. Data Analysis plays a crucial role in filtering and structuring this data. Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. What does a typical Data Science syllabus cover?

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52