AI News

DECEMBER 19, 2023

The AI & Big Data Expo stood out for its great mixture of speakers, not only targeting people working within data, but making the topics feel completely accessible to somebody like me, who isn’t a data scientist by background.

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Analytics Vidhya

JANUARY 21, 2023

Introduction Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations.

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Analytics Vidhya

JULY 18, 2023

Introduction In the rapidly evolving world of modern business, big data skills have emerged as indispensable for unlocking the true potential of data. This article delves into the core competencies needed to effectively navigate the realm of big data.

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Analytics Vidhya

NOVEMBER 11, 2020

Overview Understand the top 14 must-have skills to be an employable data scientist Have a look at the suggested resources to enhance your understanding. The post 14 Must-Have Skills to Become a Data Scientist (with Resources!) appeared first on Analytics Vidhya.

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IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

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Analytics Vidhya

OCTOBER 30, 2020

Overview Data science certifications are ubiquitous – should you get one? The post Do you need a Certification to become a Data Scientist? If yes, which certification should you choose? Here, we list down the different. 5 Things you Should Consider appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 24, 2020

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The post Should I become a data scientist (or a business analyst)? ” The. appeared first on Analytics Vidhya.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Analytics Vidhya

AUGUST 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Spark is an analytics engine that is used by data scientists all over the world for Big Data Processing. It is built on top of Hadoop and can process batch as well as streaming data.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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Towards AI

FEBRUARY 10, 2024

Photo by CDC on Unsplash The Data Scientist Show, by Daliana Liu, is one of my favorite YouTube channels. Unlike many other data science programs that are very technical and require concentration to follow through, Daliana’s talk show strikes a delicate balance between profession and relaxation.

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Pickl AI

OCTOBER 29, 2024

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. From healthcare to finance, these examples illustrate the transformative power of data-driven decision-making and operational efficiency.

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Aiiot Talk

SEPTEMBER 13, 2023

It helps you manage and use data effectively, but how exactly? Cloud computing helps with data science in various ways when you look deeper into its role. The Role of Cloud Computing in Data Science Data scientists use cloud computing for several reasons. That’s where cloud computing assists.

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AI News

JULY 28, 2023

Recently, there’s been a shift towards MLOps professionals who possess the skills to bridge the gap between data scientists and data engineers, thereby optimising the deployment of ML models. Harnham’s report provides comprehensive insights into the salaries and day rates of various data science roles across the UK.

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Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon A data scientist’s ability to extract value from data is closely related to how well-developed a company’s data storage and processing infrastructure is.

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Analytics Vidhya

FEBRUARY 19, 2020

Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.

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Flipboard

NOVEMBER 22, 2024

For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

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Towards AI

JANUARY 14, 2024

Data Science is the discipline of making data useful — But How? Davenport and DJ Patilthree wrote their famous Harvard Business Review article: “Data Scientist: The Sexiest Job of the 21st Century” The article made many discussions, and now, after a decade, we have thousands of job profiles titled “Data Scientist.”

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. Data Science Of course, a data scientist should know data science!

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Flipboard

APRIL 17, 2023

And so is the case with Data Scientists … To excel in any career path, it is very important to continuously keep on upgrading with the required skills.

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Flipboard

JULY 13, 2023

Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

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Towards AI

SEPTEMBER 9, 2024

AI and Big Data Expo Europe, the premier event for AI and Big Data enthusiasts, innovators, and industry leaders, is just over one month away. Unmatched Networking Opportunities: With over 7,000 attendees expected, the AI and Big Data Expo offers unparalleled opportunities for networking.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. Streamlit allows data scientists to create interactive web applications using Python, using their existing skills and knowledge.

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DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

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ODSC - Open Data Science

FEBRUARY 28, 2023

These organizations are shaping the future of the AI and data science industries with their innovative products and services. These tools are designed to help companies derive insights from big data. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

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Unite.AI

FEBRUARY 12, 2025

Because MachineMetrics is described as the industrys first AI-driven machine monitoring and predictive analytics platform for discrete manufacturers, even smaller firms without in-house data scientists can leverage advanced predictive maintenance techniques. that companies can turn on with minimal configuration.

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IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. How does an open data lakehouse architecture support AI? All of this supports the use of AI.

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Unite.AI

JULY 3, 2024

in February 2017, Dr. Stavros Papadopoulos was a Senior Research Scientist at the Intel Parallel Computing Lab, and a member of the Intel Science and Technology Center for Big Data at MIT CSAIL for three years. Data scientists end up spending huge amounts of time wrangling data in order to consolidate it.

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Towards AI

JULY 24, 2023

Photo by h heyerlein on Unsplash In thе agе of big data, organizations arе incrеasingly rеliant on professionals with spеcializеd skills to unlock thе potential hiddеn within thеir vast databases. Last Updated on July 25, 2023 by Editorial Team Author(s): Sai Nikhilesh Kasturi Originally published on Towards AI.

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Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. 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.

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Pickl AI

MARCH 19, 2025

Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Introduction Imagine a world where data is a messy jungle, and we need smart tools to turn it into useful insights.

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure.

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ODSC - Open Data Science

MARCH 6, 2023

In a series of articles, we’d like to share the results so you too can learn more about what the data science community is doing in machine learning. For the last part of the first blog in this series, we asked about what areas of the field data scientists are interested in as part of the machine learning survey.

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Pickl AI

JUNE 4, 2024

Summary: The healthcare industry is undergoing a data-driven revolution. Data Science is analyzing vast amounts of patient information to predict diseases before they strike, personalize treatment plans based on individual needs, and streamline healthcare operations. quintillion bytes of data each year [source: IBM].

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Pickl AI

JULY 2, 2024

Summary: Demystify time complexity, the secret weapon for Data Scientists. Explore practical examples, tools, and future trends to conquer big data challenges. As data sets grow exponentially, algorithms with poor time complexity can become agonizingly slow, hindering your ability to extract timely insights.

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