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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

AI Can Keep An Eye On You

Artificial Intelligence (AI) can monitor your moves.

It’s not a myth, but the sheer reality. AI can give you a creepy experience while keeping an eye on you.

AI works:

However, this trending technology ensures labeling of data to develop an understanding about the question being raised. Simply put, it is how Alexa…

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Added by Lovely Sharma on June 26, 2019 at 3:42am — 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

How to Monetize the Sports Digital Transformation

The sports digital transformation is upon us, and the world of sports is about to be disrupted through the technology at play. In the words of the most decorated Olympian to step on the podium:

“You can’t put a limit on anything. The more you…

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Added by Ronald van Loon on June 25, 2019 at 5:02pm — No Comments

Running Peta-Scale Spark Jobs on Object Storage Using S3 Select

When one looks at the amazing roster of talks for most data science conferences what you don’t see is a lot of discussion on how to leverage object storage. On some level you would expect to — ultimately if you want to run your Spark or Presto job on peta-scale data sets and have it be available to your applications in the public or private cloud — this would be the logical storage architecture.

While logical, there has been a catch, at least historically, and that is object storage…

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Added by Jonathan Symonds on June 25, 2019 at 9:00am — No Comments

Face Recognition is the future Revolution.

OVERVIEW & PURPOSE

Before we dive deep into the topic let's ask a few questions to yourself and start diving into it as deep as you want to…!!!

  1. What it is?
  2. Why it came into existence?
  3. Where it was used?
  4. What are the results we achieve using this?
  5. How we can implement this?

 

Coming to the…

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Added by Kranthikiran Diddi on June 25, 2019 at 8:45am — No Comments

New Square Method

Abstract

The “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.

Preface

In non-linear data regression calculations, the “least square…

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Added by yanping wang on June 25, 2019 at 6:00am — 2 Comments

How to Build an NLP Engine that Won’t Screw Up

Nowadays, lot's of discussion is happening around the question of what artificial intelligence can and can't do. Even though artificial intelligence has a controversial status, this technology already has some real-life business applications and delivers proven results.

Building a meaningful interaction with…

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Added by Olha Zhydik on June 25, 2019 at 5:00am — No Comments

Digital Transformation and the AI Advantage

Wait, the AI advantage is already here and gone? 

That’s what Deloitte warns in their report “Future in the balance? How countries are pursuing an AI advantage”.A noteworthy quote:

“There are indications that the window for competitive differentiation with AI is rapidly closing. As AI technologies become easier to consume and get embedded in…

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Added by Bill Schmarzo on June 25, 2019 at 4:02am — No Comments

Top 8 Data Science Use Cases in Construction

Introduction

With every article, we keep proving that data science has found broad application in numerous business areas. Now, the turn came to the construction industry as well. The world is overloaded with data. It results in a steady improvement in…

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Added by Igor Bobriakov on June 25, 2019 at 2:33am — No Comments

Recognizing Animals in Photos: Building an AI model for Object Recognition

Our model for recognizing specific animals in images is a neural network consisting of multiple layers, and the initial layers are already good at understanding the world in general. So instead of “re-inventing the wheel,” we only need to train the final layers.

I was excited to work on a recent project with one of our partners, Wild Detect, because it aligns with one of our goals at Appsilon — to use data science consulting to aid in the…

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Added by Michał Frącek on June 25, 2019 at 1:13am — 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

Writing/Reading Large R dataframes/datatables.

I recently downloaded a 5 year Public Use Microsample (PUMS) from the latest release of the American Community Survey (ACS) census data. The data contain a wealth of demographic information on both American households and…

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Added by steve miller on June 24, 2019 at 12:42pm — No Comments

What Business Really Wants from AI – The Future of AI Platforms

Summary:  Business doesn’t want AI.  Business wants results.  While we were focused inward on our Advanced Analytic Platforms, smart competitors were rolling up AI/ML with other capabilities into “Intelligent Automation” platforms.  This large scale integration of capabilities of which AI/ML is only a part looks a lot like the development of ERPs in the late 90s.

 …

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Added by William Vorhies on June 24, 2019 at 8:23am — No Comments

The Catch 22 problem holding back #AI application adoption  ...

The Catch 22 problem holding back AI application adoption  ...



Last week, there was an interesting report in the MIT technology review that Artificial Intelligence can help construction industry to help see…

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Added by ajit jaokar on June 24, 2019 at 12:30am — No Comments

Data Science Central Monday Digest, June 24

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. To subscribe, follow this…

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Added by Vincent Granville on June 23, 2019 at 6:00pm — No Comments

Free Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes

This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. In about 300 pages and 28 chapters it covers many new topics, offering a fresh perspective on the subject, including rules of thumb and recipes that are easy to automate or integrate in black-box systems, as well as new…

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Added by Vincent Granville on June 23, 2019 at 1:00pm — 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

AI Business Transformation Playbook for Executives

I am delighted to present my new blog - AI Business Transformation Playbook for Executives. originally posted here. I get into the nuts-and-bolts of AI Systems Solutioning in this rather lengthy blog but the “First Ten Plays” at the end summarizes the key steps. I look forward to your thoughts and…

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Added by PG Madhavan on June 21, 2019 at 2:30pm — No Comments

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