Data Science Dojo

JANUARY 23, 2023

without at least “touching” on quantitative interviewing/surveys, quantitative data-analysis–e.g. via word counts, content-analysis, etc. Thus, one thing led to another, and soon enough, I was practicing algorithms and data-structures, learning about the basic “trouble-trio” of web-development–i.e.,

Data Science 150

Data Science Data Analysis Data Analysis Algorithm 150

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML Machine Learning Machine Learning 121

Pickl AI

FEBRUARY 23, 2025

Introduction to Big Data Tools In todays data-driven world, organisations are inundated with vast amounts of information generated from various sources, including social media, IoT devices, transactions, and more. Big Data tools are essential for effectively managing and analysing this wealth of information. Use Cases : Yahoo!

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Pickl AI

JULY 12, 2023

Within the Movie, Data and Information play an important role in the entire series. The Matrix is mainly a world simulated for creating and controlling machines, which use data and algorithms to maintain the illusion of reality. They rely on hacking and data manipulation for navigating the Matrix and uncover its secrets.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Data Analysis 52

AWS Machine Learning Blog

JUNE 23, 2023

Lastly, you should prepare your data for Snowflake We use credit card transaction data from Kaggle to build ML models for detecting fraudulent credit card transactions, so customers are not charged for items that they didn’t purchase. The dataset includes credit card transactions in September 2013 made by European cardholders.

ML 98

ML ML Database AWS 98

DrivenData Labs

DECEMBER 7, 2023

Summary of approach : Using a downsampling method with ChatGPT and ML techniques, we obtained a full NEISS dataset across all accidents and age groups from 2013-2022 with six new variables: fall/not fall, prior activity, cause, body position, home location, and facility. What motivated you to participate? : What motivated you to participate?

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

Flipboard

JANUARY 20, 2025

Anand, who began as an analyst in 2013, was promoted to assistant vice president in 2015. As an assistant vice president, he developed data science and machine learning models to price bonds more accurately. The existing algorithms were not efficient. There are eight of what he calls spokes in data science.

Data Science 144

Data Science Data Scientist Exploratory Data Analysis Machine Learning 144