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10 Best Python IDEs & Code Editors [2020]

best Python IDEs

Since its advent in 1991, Python has been the choice of coders due to its simple features that include ease of understanding and readability of code but not limited to just that. There have been lots of changes in the codebase over time due to the contribution from developers worldwide. Simple syntax and faster execution make Python a favorable language among programmers. It is used widely to create websites and primarily in big data operations. To make the task of running…

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Added by Digital Defynd on January 24, 2020 at 2:30am — No Comments

Top 8 Google AI Tools

There is no doubt that Google is an absolute giant in the IT world. It creates various software tools for almost any imaginable area of activity existing today. Whatever you could want, Google, probably, has a solution. Either it is a smart voice helper or an…

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Added by Igor Bobriakov on January 23, 2020 at 11:30pm — No Comments

Decision Tree Fundamentals

Presentation on decision tree fundamentals such as  finding best split, gini, entropy, misclassification error, gain ratio, numerical examples.…

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Added by Siddhaling Urolagin on January 23, 2020 at 9:30pm — No Comments

Is Analytics-driven Innovation the Ultimate Oxymoron?

Sometimes it just takes a simple, provocative statement to kick-off the innovation process – to remove an everyday given like driving a car or possessing a landline phone or centralizing all of your data in the cloud – to fuel the innovation process. Henrik Christensen, director of University San Diego's Contractual Robotics Institute, issued such a provocative statement:

“My own prediction is that kids born today will never get to drive a car.”

I have recently been…

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Added by Bill Schmarzo on January 23, 2020 at 1:30pm — No Comments

Magic Dust for Artificial Intelligence Product Managers

In a meeting with engineering leadership, I was told, "We'll tack on the AI later."
While doing ethnographic testing with a β customer, I was asked if the AI would just learn and then do everything perfectly.
During a…
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Added by Mark Cramer on January 23, 2020 at 12:30pm — No Comments

Positive impact of AI on employee experience

Abhijeet, the HR head has deployed artificial intelligence in his organization with the objective of taking care of his employees and to stay ahead of the competition. He has a vision in improving overall efficiency of the organization that leads to employee productive growth. He also wants the AI to help him get minute details of HR processes that…

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Added by Sukumar Jena on January 23, 2020 at 12:00pm — No Comments

Thursday News, January 22

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

Resources

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Added by Vincent Granville on January 22, 2020 at 9:30pm — No Comments

How Data Warehousing Support in Faster Decision Making For Rapid Growth of Organisation?

The role of data is changing significantly with advanced methodologies used for upgrading sales and integrating business intelligence in the organisational schema for better outcomes. But in the absence of proper tools and techniques to manage and organise such a large pool of data, results might appear too far-fetched. So, what is the way out to handle bundles of unstructured data and harness its true potential for catalysing the growth? Data warehousing is the solution that…

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Added by PS Dhillon on January 21, 2020 at 10:30pm — No Comments

3 Reasons To Connect Data Silos To A CDP

In the current digital age in which we live, population data is of exceptional value. And so, when the data of a company's customers are in unconnected silos, they can be a barrier to success. Without the connection between this data, marketing experts can't offer customers what they expect. Do you want to know more about the reasons for connecting data silos to a CDP? Then, keep reading! 

Need for connected…

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Added by Sandeepkumar on January 21, 2020 at 1:00pm — No Comments

Data Science: Do We Really Need Math?

It is sometimes said that you don't need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other - not just math to solve data science problems, but also data science to solve math problems.

Articles…

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Added by Vincent Granville on January 21, 2020 at 12:58pm — 1 Comment

Kubernetes in 10 minutes

Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create new containers.

But, how many containers should we have at the same time? How many…

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Added by Igor Bobriakov on January 21, 2020 at 7:30am — No Comments

Does "All models are wrong, but some are useful" quote apply to Machine learning models?

Models are simplification or approximation of reality and hence they will not capture all of reality. “All models are wrong, but some are useful” is a famous quote by George Edward Pelham Box (1919–2013). George Box was a British mathematician and professor of statistics at the University of Wisconsin. Statisticians develop theoretical models to predict the behaviour of certain process. The meaning of this quote is that every single model will be wrong and it never represents the exact…

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Added by Janardhanan PS on January 20, 2020 at 11:30pm — 1 Comment

Deploying machine learning models using Agile

In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules.

 

How this relates to Agile?

 

Deployment of AI comes within the scope the normal SDLC (software development lifecycle)

So, normal Agile techniques like scrum, sprints, backlog…

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Added by ajit jaokar on January 20, 2020 at 1:06pm — No Comments

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

InterSystems IRIS ML Toolkit is now bi-directionally integrated with Jupyter Notebook

Choose your format to work on the same analytical process among graphical composer (IRIS BPL), notebook (Jupyter) or IDE (IRIS Studio/Atelier):

This platform-centric approach to developing analytical tools and solutions aiming to maximize the advantages of combining multiple analytic toolsets (AI/ML, BI, SQL, Quantum, IoT, MapReduce, NLP,…

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Added by Sergey Lukyanchikov on January 19, 2020 at 9:30pm — 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

New Books and Resources About K-Nearest Neighbors Algorithms

A Practical Introduction to K-Nearest Neighbors Algorithm for Regression (with Python code)

Introduction

Out of all the machine learning algorithms I have come across, KNN has easily been the simplest to pick up. Despite it’s simplicity, it has proven to be incredibly effective at certain tasks (as you will see in this article).

And even better? It can be used for both classification and regression problems!…

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Added by TcGyver on January 19, 2020 at 9:00am — 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

Life Cycle of a Data Science & AI Project

How to build a project from scratch by using a latest, state-of-the-art AI technology stack?

After spending a few years working on data science - enriched products, we tried more than 10 different  workflow concepts - adopted scrum & agile, waterfall, iterative kanban canvas etc.

As a result, we've drafted our  own data science project development workflow that allows us to iterate over data science hypotheses, process and acquire data, build…

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Added by Max Frolov on January 19, 2020 at 3:00am — 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

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