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All Blog Posts Tagged 'Science' (248)

Product Innovation Marketing Drives Global Data Science Platforms

Data science platform market is estimated to rise with a CAGR of 31.1% by generating a revenue of $224.3 billion by…

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Added by Kedar Supekar on March 31, 2021 at 2:00am — No Comments

All the Skills Require For A Data Scientist

Data science is booming day by day. In the market, the job place is quite saturated.

There are many skills you need to become a data scientist. There is a misconception…

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Added by Shekh Sadli Al Zadid on March 25, 2021 at 11:24pm — No Comments

Is investing in AI the highest ROI opportunity?

This article explores why AI is the highest ROI opportunity.…

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Added by saurav singla on March 3, 2021 at 4:00am — No Comments

Importance of Data Science in Modern Age

What are the Importances of Data Science in the Modern Age?

Data Science is considered one of the best lucrative job fields of the 21st century. It is nothing other than the combined study of mathematics, statistics & computer science (including domain and programming expertise); which is used to…

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Added by Shekh Sadli Al Zadid on February 16, 2021 at 9:00am — No Comments

Complete Life Cycle of A Data Science Project

Science is a very crucial and important part of our lives nowadays, through which we can solve any difficulties in our lives. However, we only know little about how science has to go through many problems of its own. In order to apply this science…

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Added by Shekh Sadli Al Zadid on February 16, 2021 at 8:00am — No Comments

How Data Science Helps Shape Consumer Behavior In A Post-Pandemic World

A Customer's behavioral pattern that includes habits, needs, preferences, and means of interacting with service all comes under consumer behavior. Over the years promoting, customer-centric marketing campaigns have become the norm of major industries. According to the statistics, over 86% of consumers would pay more for getting a better customer…

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Added by Elice Max on February 15, 2021 at 7:27pm — No Comments

Companies in the Global Data Science Platforms Resorting to Product Innovation to Stay Ahead in the Game

Data science is study of data that involves emerging methods of recording, storing and analyzing the data, to easily extract the needed information to take the necessary decisions for business. The phrase ‘Data Science Platform’ can be described as a software including a variety of technologies for advanced analytics uses…

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Added by Kedar Supekar on February 12, 2021 at 12:47am — No Comments

A Critical Comparison of the ML Platforms in an Evolving Market

The Evolution of the MLaaS Market

The Machine…

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Added by Raghavendra Singh on February 8, 2021 at 12:30am — No Comments

Get Hired as a Data Scientist in 2021: Six Checkpoints

Data is a goldmine for businesses in this day and age. If you seek to become a data scientist in 2021, you must know what you need.

In this in-depth guide, we will walk you through the six most important checks you must pass to become prepared for a data science career – from the scratch.

We will…

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Added by Aileen Scott on January 11, 2021 at 7:30pm — No Comments

Women in Politics | Exploratory Data Analysis in R

It all started in Montana. In 1916, Jeannette Rankin, a peace activist and a strong advocate for women’s suffrage, broke down…
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Added by Justin Schulberg on January 6, 2021 at 9:00am — No Comments

University of Rwanda First Institution in Africa to Join World Data Science Initiative

11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…

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Added by Aileen Scott on November 11, 2020 at 2:10am — No Comments

Java: What Makes it the Top Choice for Data Science

Data science uses algorithms, tools, and technologies to identify patterns in data and eventually glean valuable insights from the raw data. Simply put, it allows us to make sense of all that abundance of data that we seem to have all around us. We don’t have to tell you why data science has quickly gained popularity globally, with more and more companies and enterprises seeking to integrate it into their operations. It is by undertaking the development of relevant tools and software, of…

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Added by Ryan Williamson on November 3, 2020 at 3:00am — No Comments

Determining How Cloud Computing Benefits Data Science

Cloud has been the most significant technology that has enabled the growth of various businesses of all sizes. It offers numerous benefits without paying any additional cost or making new investments in hardware and infrastructure. Companies today generate vast volumes of data and to drive insights out of this Data, they need to inevitably leverage data analytics. Data analytics helps in driving business growth by enhancing their services and gaining a competitive edge. Larger companies can…

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Added by Rishabh Sinha on October 13, 2020 at 7:00pm — No Comments

5 Best Practices For Putting Machine Learning Models Into Production

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Added by Raghavendra Singh on September 21, 2020 at 3:36am — No Comments

5 Challenges To Be Prepared For Before Scaling Machine Learning Models

Machine Learning (ML) models are designed for defined business goals. ML model productionizing refers to hosting, scaling, and running an ML Model on top of relevant datasets. ML models in production also need to be resilient and flexible for future changes and feedback. A recent study by Forrester states that improving customer experience, improving profitability & revenue growth as the key goals organizations plan to achieve specifically using ML initiatives.

Though gaining…

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Added by Raghavendra Singh on September 10, 2020 at 12:00pm — No Comments

Understanding of Artificial Neural Networks

Introduction

Artificial neural networks are based on collection of connected nodes, and are designed to identify the patterns. They are part of deep learning, in which computer systems learn to recognize patterns and perform tasks, by analyzing training examples. For example an object recognition system can be fed to thousands of labeled images of houses, cars, traffic signals, animals etc. and would…

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Added by Kamal Jain on August 11, 2020 at 5:00am — No Comments

8 Most-Used Data Science and Machine Learning Services for 2020

In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for businesses to survive. But you try sitting down and going through all that data by hand: you'll get done sometime in the year 2050 if you're lucky.

That's where machine learning comes to the rescue. But…

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Added by Or Hillel on July 22, 2020 at 9:59pm — No Comments

5 meaningful ways to improve the adoption of data science in your organization

Overview:

This post is about improving the effectiveness of the data science team and improving collaboration between data scientists and stakeholders for better outcomes.  

Aligning goals:

Regardless of the specific project, agreeing on the expected outcomes and goals before beginning the work is a best practice. But with the advent of machine learning (ML) models, it’s for both sides to discuss the critical measures of success for the…

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Added by Ram Alagianambi on July 20, 2020 at 9:00pm — No Comments

The Rise and Rise of Price Analytics!

Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now has the potential to reach 3.7 million subscribers as compared to the earlier number of 1.3 million subscribers in India by the end of the year. This increased subscriber count…

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Added by Raghavendra Singh on July 2, 2020 at 11:00pm — No Comments

Streamline Your Data Science with Namara

We’ve written a lot about finding and preparing data lately. But that’s only the beginning when it comes to extracting value from it. When organizations begin flowing external data through their organization, the various issues associated with data sharing start causing problems. Some of these issues include:

  • Controlling permissions and data access, including sharing partial/filtered views or picture-in-picture data
  • Accurately tracking changes to data and monitoring how…
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Added by Thendup Tsering on June 15, 2020 at 9:30am — No Comments

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