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All Blog Posts Tagged 'Data' (603)

How do I prepare for Data Scientist interviews?

If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

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Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments

How Long Does It Take to Learn Python for Data Science?

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…

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Added by Yoey Thamas on July 2, 2019 at 12:29am — No Comments

How Data Science is Playing a Big Role in Higher Education?



Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platforms to extract insights from data, several academic institutions are incorporating data science into their operations and educational curriculum. This helps them engage students, improve educational…

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Added by Gaurav Belani on July 1, 2019 at 8:53pm — No Comments

Four Powerful People Skills For Data Scientists

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.

1. Common Assumption: People skills are just "fluffy" soft skills

Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…

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Added by Rafael Knuth on June 26, 2019 at 4:30am — No Comments

How Data Masking is Driving Power to Organizations?

In this digital age, the threats against an organization’s data are massive and the consequences of a breach are extremely devastating for a business. So it has become important to consider various factors when it comes to secure databases.

Our world is on a huge risk of data theft and a few months ago, Facebook data breach news proved this.…

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Added by Chirag Thumar on June 25, 2019 at 8:30pm — No Comments

What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and…

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Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments

Big Data & Public health syndicate: The promise and perils

Data is growing at an unimaginable speed. Data has been and will be the most crucial driving factors behind day-to-day activities that we carry out. As we talk, tons and tons of data---in exabytes is being added and processed each day, making it difficult to handle such an astronomical amount. There lies one major difficulty in handling such large amount of data. Since the volume is increasing rapidly in comparison to the computing resources, we find it…

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Added by Jane Brewer on June 24, 2019 at 8:00pm — No Comments

Big Data Architecture in Data Processing and Data Access

I started my career as an Oracle database developer and administrator back in 1998. Over the past 20+ years, it has been amazing to see how IT has been evolving to handle the ever growing amount of data, via technologies including relational OLTP (Online Transactional Processing) database, data warehouse, ETL (Extraction, Transformation and Loading) and OLAP (Online Analytical Processing) reporting, big data and now AI, Cloud and IoT.  All these technologies were enabled by the rapid…
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Added by Stephanie Shen on June 23, 2019 at 7:30am — No Comments

Why is Data Curation Important for Big Data Industry

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

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Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments

The Recommender Canvas: Everything You Wanted To Know About Recommender System Design & Its Necessity Today

The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…

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Added by Guido van Capelleveen on June 13, 2019 at 2:44am — No Comments

Questions to ask while implementing Anomaly detection system

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work…

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Added by Avinash Udaykumar on May 27, 2019 at 2:30am — No Comments

Data Standardization: The Core building block for Data Quality.

Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…

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Added by Prashanth Southekal, PhD on May 8, 2019 at 1:30pm — No Comments

3 Types of Machine Learning in AI

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

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Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments

Artificial Intelligence Continues Where Analytics Ends?

AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics

Let us see how...

Different approaches in Data Science and analytics have been originated in the field of statistics.

AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents". 

The way is to treat AI as extending conventional analytics with a…

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Added by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments

The Anatomy of K-means

A complete guide to K-means clustering algorithm



Let’s say…

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Added by Diego Lopez Yse on April 30, 2019 at 2:17pm — No Comments

The Complete Guide to Decision Trees

Everything you need to know about a top algorithm in Machine Learning

In the…

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Added by Diego Lopez Yse on April 30, 2019 at 2:00pm — 3 Comments

What is Augmented Analytics and Can it Add Value to Business Intelligence?

The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

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Added by Kartik Patel on April 24, 2019 at 3:00am — No Comments

8 Amazing Career Opportunities that you can get after Data Science Training

You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…

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Added by Vikas Arora on April 8, 2019 at 4:00am — No Comments

What are the prerequisite skills required to become a data scientist in 2019?

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

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Added by Yoey Thamas on April 7, 2019 at 8:57pm — 1 Comment

What Are the Necessary Components of an Advanced Analytics Solution?

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the…

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Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments

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