ODSC - Open Data Science

OCTOBER 7, 2024

As datasets grow, scalable data ingestion and storage become critical. Techniques such as parallel data processing and distributed data storage systems, like Hadoop or cloud-native solutions, allow data scientists to ingest and store large volumes of data effectively.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. Machine Learning: Data Science aspirants need to have a good and concise understanding on Machine Learning algorithms including both supervised and unsupervised learning.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

AUGUST 9, 2024

Big Data Technologies and Tools A comprehensive syllabus should introduce students to the key technologies and tools used in Big Data analytics. Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.

Data Science 52

Data Science SQL Data Scientist Python 52

IBM Journey to AI blog

JULY 6, 2023

It processes enormous amounts of data a human wouldn’t be able to work through in a lifetime and evolves as more data is processed. Challenges of data science Across most companies, finding, cleaning and preparing the proper data for analysis can take up to 80% of a data scientist’s day.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 10, 2023

R’s visualization capabilities help in understanding data patterns, identifying outliers, and communicating insights effectively. · Machine Learning: R provides numerous packages for machine learning tasks, making it a popular choice for data scientists. It is a Data Scientist’s best friend.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Big Data Tools Integration Big data tools like Apache Spark and Hadoop are vital for managing and processing massive datasets.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Data Science Dojo

AUGUST 30, 2023

Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data. An Applied Data Scientist must have a solid understanding of statistics to interpret data correctly. Machine learning algorithms Machine learning forms the core of Applied Data Science.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52