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 Mining Data Science Machine Learning 52

Pickl AI

AUGUST 21, 2024

How Web Scraping Works Target Selection : The first step in web scraping is identifying the specific web pages or elements from which data will be extracted. Data Extraction: Scraping tools or scripts download the HTML content of the selected pages. This targeted approach allows for more precise data collection.

Data Extraction 52

Data Extraction Automation Data Quality Data Analysis 52

AWS Machine Learning Blog

JUNE 17, 2024

Now you can run inference against the data extracted from PrestoDB: body_str = "total_extended_price,avg_discount,total_quantityn1,2,3n66.77,12,2" response = smr.invoke_endpoint( EndpointName=endpoint_name, Body=body_str.encode('utf-8') , ContentType='text/csv', ) response_str = response["Body"].read().decode()

ML 116

ML Machine Learning Data Science Big Data 116

Bugra Akyildiz

JUNE 29, 2024

This week, I will cover why I think data janitor work is dying and companies that are built in on top of data janitor work could be ripe for disruption through LLMs and what to do about it. A data janitor is a person who works to take big data and condense it into useful amounts of information.

LLM 40

LLM Big Data Data Quality ETL 40

Pickl AI

JUNE 21, 2023

Gain knowledge in data manipulation and analysis: Familiarize yourself with data manipulation techniques using tools like SQL for database querying and data extraction. Also, learn how to analyze and visualize data using libraries such as Pandas, NumPy, and Matplotlib.

Data Scientist 52

Data Scientist Data Science Python Continuous Learning 52

Pickl AI

OCTOBER 6, 2024

Talend: An open-source solution that provides various data management features. Microsoft SQL Server Integration Services (SSIS): A component of Microsoft SQL Server for data extraction and transformation. Apache NiFi : An open-source tool designed for data flow automation and ETL processes.

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

NOVEMBER 5, 2024

Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms. It performs well even with large and complex datasets, making it ideal for enterprises with high data demands.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues.

Automation 52

Automation Machine Learning Data Scientist Artificial Intelligence 52

Pickl AI

JUNE 11, 2024

Understanding Data Warehouse Functionality A data warehouse acts as a central repository for historical data extracted from various operational systems within an organization. Data Extraction, Transformation, and Loading (ETL) This is the workhorse of architecture.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

Dlabs.ai

DECEMBER 6, 2022

Sounds crazy, but Wei Shao (Data Scientist at Hortifrut) and Martin Stein (Chief Product Officer at G5) both praised the solution. They use various state-of-the-art technologies, such as statistical modeling, neural networks, deep learning, and transfer learning to uncover the underlying relationships in data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Machine Learning 52