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The Difference Between Digital Marketing and Traditional Advertising

Nobody, including myself, Is putting out enough content to take full advantage of social media marketing. If you are a business that spends hundreds of thous...
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CHAT BOTS AND USES IN ENTERPRISE APPLICATIONS

CHAT BOTS AND USES IN ENTERPRISE APPLICATIONS | fashion | Scoop.it
What is CHATBOT? Chatbots are the agents or the virtual users which give a conversation with the humans on the other side. In simple words, chatbots are the programme which gives intellectual answers to the users accordingly and is typically limited to conversations regarding a specialized purpose and not for the entire human range of …
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Deep Learning from first principles in Python, R and Octave – Part 2 | Tinniam V. Ganesh,  Giga thoughts …

Deep Learning from first principles in Python, R and Octave – Part 2 | Tinniam V. Ganesh,  Giga thoughts … | fashion | Scoop.it
This post is a follow-up post to my earlier post Deep Learning from first principles in Python, R and Octave-Part 1. In the first part, I implemented Logistic Regression, in vectorized Python,R and Octave, with a wannabe Neural Network (a Neural Network with no hidden layers). In this second part, I implement a regular, but somewhat primitive Neural Network (a Neural Network with just 1 hidden layer). The 2nd part implements classification of manually created datasets, where the different clusters of the 2 classes are not linearly separable.

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Learn Data Science On Your Mobile Phone With These Tools

Learn Data Science On Your Mobile Phone With These Tools | fashion | Scoop.it
Learn Data Science On Your Mobile Phone With These Tools Nowadays, data science and machine learning are changing the world. Here's your opportunity .
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The Difference Between Digital Marketing and Traditional Advertising

Nobody, including myself, Is putting out enough content to take full advantage of social media marketing. If you are a business that spends hundreds of thous...
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Top 2019 Digital Marketing Trends 

Top 2019 Digital Marketing Trends  | fashion | Scoop.it
Make 2019 your business' best year yet by familiarizing yourself with top marketing trends in your industry. Learn more here!

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101 Best Data Science Interview Questions 2018

101 Best Data Science Interview Questions 2018 | fashion | Scoop.it
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Learning Math For Machine Learning And Artificial Intelligence Programming

Learning Math For Machine Learning And Artificial Intelligence Programming | fashion | Scoop.it
Khan Academy and Yup were great resources

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Transforming Big Data Processing Through Blockchain and AI

Transforming Big Data Processing Through Blockchain and AI | fashion | Scoop.it
Big data is currently on everybody’s lips with stringent regulations the order of the day and security breaches happening on a regular basis. A company called Endor has come up with a blockchain and AI-based solution to manage and process data. We speak to Endor CEO Dr Yaniv Altshuler.

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The Big Data Revolution Will Be Sampled: How 'Big Data' Has Come To Mean 'Small Sampled Data'

The Big Data Revolution Will Be Sampled: How 'Big Data' Has Come To Mean 'Small Sampled Data' | fashion | Scoop.it
The Big Data Revolution Will Be Sampled: How 'Big Data' Has Come To Mean 'Small Sampled Data'

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Data science startup Dataiku raises $101M in Series C round

Data science startup Dataiku raises $101M in Series C round | fashion | Scoop.it
Data science startup Dataiku raises $101M in Series C round - SiliconANGLE...

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Greg Deckler's curator insight, December 21, 2018 4:33 PM

Swear I've used that same clip-art.

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Data breaches, data acquisition, data science

Data breaches, data acquisition, data science | fashion | Scoop.it

Data breaches, data acquisition, data science – this week’s Loyalty Newswire highlights some very big (not so good) news and some of the people and brands that are tasked with managing it.  As well, The Wise Marketer has some big (very good) news of our own.  Here is what we’re following: Data Hungry Businesses Can’t […]


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the first club™'s curator insight, January 29, 3:46 PM

The Wise Marketer has tackled a selection of subjects regarding data breaches and acquisition challenges. Spot on for #dataprivacyweek

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autoplotly - One Line of R Code to Build Interactive Visualizations for Popular Statistical Results - Yuan Tang. Yuan's Blog

The autoplotly package is an extension built on top of ggplot2, plotly, and ggfortify to provide functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package in plotly and ggplot2 styles. The generated visualizations can also be easily extended using ggplot2 and plotly syntax while staying interactive.

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TSrepr use case - Clustering time series representations in R – Peter Laurinec – Time series data mining in R. Bratislava, Slovakia.

TSrepr use case - Clustering time series representations in R – Peter Laurinec – Time series data mining in R. Bratislava, Slovakia. | fashion | Scoop.it

Time series data mining in R. 

In this tutorial, I will show you one use case how to use time series representations effectively. This use case is clustering of time series and it will be clustering of consumers of electricity load. By clustering of consumers of electricity load, we can extract typical load profiles, improve the accuracy of consequent electricity consumption forecasting, detect anomalies or monitor a whole smart grid (grid of consumers) (Laurinec et al. (2016), Laurinec and Lucká (2016)). I will show you the first use case, the extraction of typical electricity load profiles by K-medoids clustering method.


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Common problems for Digital Marketing Agencies and how to fix them

Common problems for Digital Marketing Agencies and how to fix them | fashion | Scoop.it
  Marketers face new challenges every day based on their requirements and services. These challenges vary from company to company and customer to customer. However, Most of them have a few common problems like generating leads, maintaining good ROI, attracting customers and competing with competitors. The good news over here is maintaining good content can …
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​7 Short-Term AI ethics questions – Towards Data Science

​7 Short-Term AI ethics questions – Towards Data Science | fashion | Scoop.it

"When new technologies become widespread, they often raise ethical questions. For example:

 

Weapons — who should be allowed own them? Printing press — what should be allowed to be published? Drones — where should they be allowed to go?

 

The answers to these questions normally come after the technologies have become common enough for issues to actually arise. As our technology becomes more powerful, the potential harms from new technologies will become larger. I believe we must shift from being reactive to being proactivewith respect to new technological dangers.

 

We need to start identifying the ethical issues and possible repercussions of our technologies before they arrive. Given that technology grows exponentially fast, we will have less and less time to consider the ethical implications."

 


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5 Digital Trends You Need To Know To Stay Ahead Of The Medical Marketing Curve In 2019 [Infographic] –

5 Digital Trends You Need To Know To Stay Ahead Of The Medical Marketing Curve In 2019 [Infographic] – | fashion | Scoop.it

To succeed on social media, it’s essential to stay ahead of the curve and understand the latest social media trends.

I’ve just published my annual social media marketing predictions for 2019. In it I’ve identified 14 major trends that should claim marketers’ focus in the new year.

It’s a lengthy post but if you’re serious about marketing your medical practice online in 2019, I highly recommend you take some time to read it over the coming days.

Below I’ve highlighted five of these trends which I think will have particular relevance to medical marketing.


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Stella Chrysaki's curator insight, January 17, 11:49 AM
Top 5 digital trends you need to know about #marketing #digital #influencemarketing #contentisking
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The Complete Digital Marketing 2019 Guide

The Complete Digital Marketing 2019 Guide | fashion | Scoop.it
If you’re on the hunt for an updated, comprehensive and easy to understand digital marketing guide, this is the one……

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18 reasons to learn digital marketing in 2018 | Social Prachar

In this fast paced world, everything is changing including the ways of marketing. Traditional marketing is no doubt still performing good but the future of marketing is definitely “Digital Marketing”. Digital marketing forms the backbone of today’s economy.
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Top 5 ways to Leverage Data for Business – PROWEBSCRAPER

Top 5 ways to Leverage Data for Business – PROWEBSCRAPER | fashion | Scoop.it

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A Comprehensive Learning Path for Deep Learning in 2019

A Comprehensive Learning Path for Deep Learning in 2019 | fashion | Scoop.it
A Comprehensive Learning Path for Deep Learning in 2019

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Why There Will Be No Data Science Job Titles By 2029

Why There Will Be No Data Science Job Titles By 2029 | fashion | Scoop.it
The only thing that is certain is change, and there are changes coming to data science.

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Data science and BI work together to democratise data-driven businesses

Data science and BI work together to democratise data-driven businesses | fashion | Scoop.it
Mathias Golombek, CTO at Exasol, looks at how data science and business intelligence will converge to help businesses become more data-driven...

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Greg Deckler's curator insight, December 21, 2018 4:30 PM

Solid article. 87% of companies suck at BI and analytics. Observe Greg's zero surprise.

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Preprocessing for deep learning: from covariance matrix to image whitening - Data Science Central

The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions! Thinking by coding! 


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Deep Learning from first principles in Python, R and Octave – Part 2 | Tinniam V. Ganesh,  Giga thoughts …

Deep Learning from first principles in Python, R and Octave – Part 2 | Tinniam V. Ganesh,  Giga thoughts … | fashion | Scoop.it
This post is a follow-up post to my earlier post Deep Learning from first principles in Python, R and Octave-Part 1. In the first part, I implemented Logistic Regression, in vectorized Python,R and Octave, with a wannabe Neural Network (a Neural Network with no hidden layers). In this second part, I implement a regular, but somewhat primitive Neural Network (a Neural Network with just 1 hidden layer). The 2nd part implements classification of manually created datasets, where the different clusters of the 2 classes are not linearly separable.

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Regression Analysis Essentials For Machine Learning - Easy Guides - Wiki - STHDA

Regression Analysis Essentials For Machine Learning - Easy Guides - Wiki - STHDA | fashion | Scoop.it

Statistical tools for data analysis and visualization.


Regression analysis consists of a set of machine learning methods that allow us to predict a continuous outcome variable (y) based on the value of one or multiple predictor variables (x). Briefly, the goal of regression model is to build a mathematical equation that defines y as a function of the x variables. Next, this equation can be used to predict the outcome (y) on the basis of new values of the predictor variables (x).


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