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July 2018 Blog Posts (88)

Need guidance: beginner data/business analyst

I have completed the following through courses at coursera:

R-Programming, Getting and cleaning data – John Hopkins University

Introduction to SQL – University of Michigan

Managing Big Data with MySQL and TERADATA – Duke University

Data Visualization and Communication with Tableau – Duke University

I am currently working on python courses. So i think i have got the basics covered. 

I have two questions:

1) what next to study? I am having a…

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Added by Faaran Saleem on July 31, 2018 at 2:00pm — No Comments

Comparing the Four Major AI Strategies

Summary: Now that we’ve detailed the four main AI-first strategies:  Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick.  Here we provide side-by-side comparison and our opinion on the winner(s) for your own AI-first startup.

 

In our…

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Added by William Vorhies on July 31, 2018 at 8:20am — No Comments

The Future of AI-Powered Translation on Social Media Platforms

Social media has exploded. And it is rapidly becoming the choice of marketers who want to gain a large audience, spread their brands and develop relationships that will result in trust and ultimately sales.

But competition is fierce, and marketers who must craft content are finding it increasingly difficult to cover all of the social media platforms they want to. One of the solutions is to use AI-powered tools to save manpower and to improve efficiency.

Use of AI Tools…

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Added by Kristin Savage on July 31, 2018 at 1:00am — No Comments

It's Not Digital Transformation; It’s “Intelligence Transformation” We Seek

Forrester published a report titled “The Sorry State of Digital Transformation in 2018” (love the brashness of the title) that found that 21% of 1,559 business and IT decision makers consider their digital transformations complete.  Complete? Say what?!

The concept of “Digital Transformation” is confusing because many CIO’s (at least 21%) and their…

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Added by Bill Schmarzo on July 30, 2018 at 3:47pm — No Comments

Top 10 Challenges to Practicing Data Science at Work

This article was written by Bob Hayes

A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in…

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Added by Kelly Quintana on July 30, 2018 at 12:15pm — No Comments

Practical Apache Spark in 10 minutes. Part 5 - Streaming

Spark is a powerful tool which can be applied to solve many interesting problems. Some of them have been discussed in our previous posts. Today we will consider another important application, namely streaming. Streaming data is the data which continuously comes as small records from…

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Added by Igor Bobriakov on July 30, 2018 at 3:53am — No Comments

Machine Learning with C++ - Classification with Shark-ML

Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:

1. Loading data

2. Performing normalization and dimension…

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Added by Kyrylo Kolodiazhnyi on July 30, 2018 at 2:40am — No Comments

AutoEncoders with Non-Linear Parameters — KernelML

By Rohan Kotwani.

KerneML

KernelML is brute force optimizer that can be used to train machine learning models. The package uses a combination of a machine learning and monte carlo simulations to optimize a parameter vector with a…

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Added by Vincent Granville on July 29, 2018 at 5:30am — No Comments

Weekly Digest, July 30

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on July 29, 2018 at 3:30am — No Comments

R Code for Cox & Stuart Test for Trend Analysis

Below is an R code for Cox & Stuart Test for Trend Analysis. Simply, copy and paste the code into R workspace and use it. Unlike cox.stuart.test in R package named "randtests", this version of the test does not return a p-value greater than one. This phenomenon occurs when the test statistic, T is half of the number of untied pairs, N.

Here is a simple example that reveals the situtaion:

> x

[1] 1 4 6 7 9 7 1 6

> cox.stuart.test(x)

Cox Stuart…

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Added by Okan OYMAK on July 29, 2018 at 3:00am — No Comments

Digital Marketing: Are you avoiding these common problems?

Target audience: Marketers, analysts, campaign managers, and decision makers.

Preface: I teach multiple tools under Adobe's experience cloud and I often get to have a look at the shape of digital marketing in multiple companies and across various business domains. This post is a summary of the most common problems and ways of resolving them at early stages before they become blunders.

1. The accuracy (and single…

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Added by Abhishek Srivastava on July 28, 2018 at 7:30pm — No Comments

Finance basics for data scientists

I picked up a little book called “Finance Basics” published by Harvard Business Review Press, for a short in-flight reading. This tiny book isn't going to make someone a finance expert but I did find a few things useful for data scientists and business analysts whose background is not finance or economics. Data science is truly a multi-disciplinary area with people coming from many different background and areas of expertise, often with little to no exposure…

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Added by Mab Alam on July 28, 2018 at 10:07am — No Comments

Don’t Let Data Science Become a Scam

Guest blog by Seth Dobrin and Daniel Hernandez.

Companies have been sold on the alchemy of data science. They have been promised transformative results. They modeled their expectations after their favorite digital-born companies. They have piled a ton of…

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Added by Vincent Granville on July 28, 2018 at 6:30am — 14 Comments

Which Programming Language Is Considered To Be Best For Machine Learning?

These are a bulk of people pondering the same question and exploring different answers but at a hanging stage not knowing which one is correct and which one should they follow. The answers are very conflicting some share it on the basis of the research while some share their personal experience which confuses the newbies as hell. Well, the answer to this question depends on what you are trying to…

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Added by Pratik Kanada on July 28, 2018 at 3:48am — 3 Comments

5 major sensor data analytics challenges: deadly or curable?

Guest blog post by Imranali.

A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an IoT system – needs to work properly and ‘harmonize’ with the others. But how do conductors make their orchestras work so nicely and sound so heavenly instead of creating a mismanaged…

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Added by Vincent Granville on July 27, 2018 at 10:07am — No Comments

Fashion, Weather And Predictive Analytics

Wondering how the words, fashion, weather and predictive analytics are connected?

Here’s a poser – what is one of the biggest challenges before the global fashion industry today? Weather. You wouldn’t have guessed it, right?

Pick up any fashion magazine, read any fashion…

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Added by Hemant Warudkar on July 27, 2018 at 4:13am — No Comments

Thursday News: AI, Power BI, Neural nets, DL and Object Classification, R, Spark...

Here is our selection of featured articles and resources posted since Monday.

Resources

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Added by Vincent Granville on July 26, 2018 at 10:32am — No Comments

Thursday News: AI, Power BI, Neural nets, DL and Object Classification, R, Spark...

Here is our selection of featured articles and resources posted since Monday.

Resources

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Added by Vincent Granville on July 26, 2018 at 10:30am — No Comments

Neural Networks gone wild! They can sample from discrete distributions now!

Guest blog by Yoel Zeldes.

This post describes:

  • what the Gumbel distribution is
  • how it is used for sampling from a discrete distribution
  • how the weights that affect the distribution's parameters can be trained
  • how to use all of that in a toy example (with code)

In this post you will learn what the Gumbel-softmax trick is. Using this trick, you can sample from a discrete…

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Added by Vincent Granville on July 26, 2018 at 10:00am — No Comments

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