Pickl AI

SEPTEMBER 24, 2024

Improving Service Quality In addition to enhancing supply efficiency, Uber focuses on improving service quality through various initiatives driven by Data Analytics. This feedback is analysed using natural language processing (NLP) techniques to identify common themes and issues related to service quality.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. It is popular for its powerful data visualization and analysis capabilities.

Data Science 52

Data Science SQL Data Scientist Python 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JUNE 19, 2024

Introduction to Data Science Courses Data Science courses come in various shapes and sizes. There are beginner-friendly programs focusing on foundational concepts, while more advanced courses delve into specialized areas like machine learning or natural language processing.

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

ODSC - Open Data Science

JANUARY 7, 2025

Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way. Tools like Apache Airflow are widely used for scheduling and monitoring workflows, while Apache Spark dominates big data pipelines due to its speed and scalability.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

JULY 10, 2023

Packages like stats, car, and survival are commonly used for statistical modeling and analysis. · Data Visualization : R offers several libraries, including ggplot2, plotly, and lattice, that allow for the creation of high-quality visualizations.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

AUGUST 18, 2023

Natural Language Processing (NLP) can be used to streamline the data transfer. This technology can process unstructured data, take into account grammar and syntax, and identify the meaning of the information. The issue is that handwritten files often get misplaced or lost.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing.

Machine Learning 195

Machine Learning Deep Learning Deep Learning Machine Learning 195

Data Science Dojo

AUGUST 30, 2023

Big data processing With the increasing volume of data, big data technologies have become indispensable for Applied Data Science. Technologies like Hadoop and Spark enable the processing and analysis of massive datasets in a distributed and parallel manner.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Pickl AI

APRIL 2, 2024

SQL (Structured Query Language): Language for managing and querying relational databases. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

DECEMBER 4, 2024

Democratisation of Data : Non-technical users can engage with advanced analytics tools, fostering a culture of data-driven decision-making across all levels of an organisation. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52