the-power-of-exploratory-data-analysis-for-ml 
Cloudera
JUNE 3, 2022
Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.
Altexsoft
AUGUST 29, 2023
In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?
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Apiumhub
FEBRUARY 25, 2021
Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. What is Data Science?
O'Reilly Media - Data
MARCH 22, 2018
Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted.
Modus Create
SEPTEMBER 9, 2021
AI is a broader concept and Machine Learning (ML) is its subset that allows machines to learn from data without being programmed explicitly. That’s why ML is so powerful. The surface area for testing software has never been so broad. Every organization today is hunting for the best possible talent.
Altexsoft
MARCH 31, 2020
That means your website must quickly process lots of transactions involving small amounts of data like order ID and details, user ID, or credit card data. It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data.
Gorilla Logic
APRIL 20, 2022
Requirements analysis. Ensuring quality starts with a careful analysis of the project’s functional and non-functional requirements. Based on their analysis, the QA function of a cross-functional development team identifies the key areas to test that will best ensure the product performs as expected. .
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