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Just How Much Do You Trust Your AI?

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical.

 

Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes. …

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Added by William Vorhies on January 20, 2020 at 8:26am — No Comments

Weekly Digest, January 20

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 link.  …

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Added by Vincent Granville on January 19, 2020 at 4:30pm — No Comments

How Can Companies Get The Most Value Out Of Their Data

Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets.

Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and…

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Added by Fahad Zaidi on January 19, 2020 at 6:00am — No Comments

Business Analytics vs Data Analytics in One Picture

In my previous post, I discussed the differences between Business Intelligence and Business Analytics. Two other terms that are often confused are Business Analytics and Data Analytics, but they are actually quite separate entities. This one picture highlights the differences between the two…

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Added by Stephanie Glen on January 18, 2020 at 7:12am — No Comments

Why the Concept of “Citizen Data Scientist” Terrifies Me

Imagine this scenario:

You enter your dentist’s office as a follow-up visit to the 6-month checkup you had last week. You’re nervous because the checkup revealed bleeding in your gums and cracks in your fillings, all things that require your dentist’s repair on this occasion.

So, you’re there nervously fidgeting in the lobby waiting for your name to be called, envisioning all sorts of dentistry implements of torture that will soon be…

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Added by Bill Schmarzo on January 17, 2020 at 12:30pm — No Comments

HandWiki encyclopedia of datascience

In 2020, HandWiki has become the largest online wiki encyclopedia for major science topics (physics, math etc.) and computing. It has more than 105,000 scholarly articles, incorporating the current Wikipedia articles, scholarly articles submitted to the Wikipedia foundation (but later…

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Added by jwork.ORG on January 16, 2020 at 6:30pm — No Comments

So which is better for portfolio optimization, a NISQ Quantum Computer, or Fujitsu's "quantum inspired digital annealer"?

Quantum computers come in 2 varieties, quantum annealers and quantum gate models. So far, DWave is the only company selling quantum annealers.

A third type of device is now available from Fujitsu. Fujitsu calls its device a "quantum inspired digital annealer". The Fujitsu device does not have any quantum correlation (quantum entanglement)…

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Added by Robert R. Tucci on January 16, 2020 at 1:30pm — No Comments

Ten strategies to implement AI on the Cloud and Edge

Introduction

The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops)

I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and…

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Added by ajit jaokar on January 16, 2020 at 11:30am — No Comments

Thursday News, January 16

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

Resources

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Added by Vincent Granville on January 16, 2020 at 11:00am — No Comments

Top Data Science Use Cases in HR

Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious…

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Added by Igor Bobriakov on January 16, 2020 at 10:30am — No Comments

Importance of Hyper-parameters in Model development

Machine Learning (ML) development is an iterative process in which the accuracy of predictions made by the models is continuously improved by repeating the training and evaluation phases. In each of these iterations, certain parameters are tweaked continuously by developers. Any parameter manually selected based on learning from previous experiments qualify to be called a model hyper-parameter. These parameters represent intuitive decisions whose value cannot be estimated from data or from…

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Added by Janardhanan PS on January 16, 2020 at 12:00am — 1 Comment

Does Big Data Impact Business Mobile App Development?

This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data sets that can be analyzed to know more about the user’s interests, demographics, trends and interactions. We rely on mobile apps present on our phone for most of the tasks like a reminder, planner, health and fitness, etc.…

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Added by Veronica Hanks on January 15, 2020 at 8:43pm — No Comments

Blockchain for Fintech: now and tomorrow

Hello! This is my first post on Data Science Central, so please be patient. I've had a short Q&A session with our CTO Sergey Nemesh.

Q: What problems can Blockchain solve for the FinTech sector? 

A: The main global problem in the FinTech sector is trust providing as for financial operations it plays a crucial role. Blockchain provides trustless transactions which…

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Added by Valery Geldash on January 15, 2020 at 10:07am — No Comments

Multi Gigabyte R data.table for Ohio Voter Registration/History

Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, "normalized", and counted. Readers can readily copy and enhance the code below for their own analytic needs. An intermediate level of R coding sophistication is assumed.

In my travels over the holidays, I…

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Added by steve miller on January 15, 2020 at 5:29am — No Comments

Machine Learning in Banking – Opportunities, Risks, Use Cases

To get a defining advantage over the competitors the banks, as well as other financial institutions must dig deep into technology breakthroughs. Luckily, Artificial Intelligence and Machine Learning are already here to help them to achieve it. Improving data processing will lead to better strategies and fraud prevention levels.…

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Added by Roman Chuprina on January 15, 2020 at 4:00am — No Comments

Docker in 10 minutes

Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when…

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Added by Igor Bobriakov on January 14, 2020 at 6:00pm — No Comments

Key Graph Based Shortest Path Algorithms With Illustrations - Part 1: Dijkstra's And Bellman-Ford Algorithms

While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details.  A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making conscious decisions about their applicability in real life cases.  There are several graph based algorithms and most notable are the shortest path…

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Added by Murali Kashaboina on January 14, 2020 at 3:00pm — No Comments

Machine Learning in Finance: Benefits, Use Cases and Opportunities



Machine Learning is a term heard around the world these days. Industries like Retail, Healthcare, and Manufacturing are taking the best out of it. So does the leaders in Banking and Finance. There is enough time and room before the technology will truly explode. However, we can still talk about some real-world use cases and ways your business can…

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Added by Roman Chuprina on January 14, 2020 at 5:00am — No Comments

5 Most Preferred Programming Languages for AI Engineers in 2020

Near about 14% of the workforce or 375 million people worldwide could lose their jobs to AI and automation.

Take a step back and look over the year that has gone by. What have you achieved? Are you being monolingual?

For someone in the tech industry, this might render your career obsolete. In times when AI is taking over the world, being monolingual can be a disadvantage.…

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Added by Yoey Thamas on January 14, 2020 at 12:30am — No Comments

Just How Much Does the Future Depend on AI?

Summary:  Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role.  Here’s a little more detail.

 

From the inside of the data science profession looking out it’s easy to imagine that almost everything that is or will be important somehow depends on AI.  Maybe…

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Added by William Vorhies on January 13, 2020 at 11:20am — 1 Comment

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