Dark Data: Why What You Don’t Know Matters by David Hand via @kdnuggets

In his latest book, a leading statistician Dr David Hand explores how we can be blind to missing or unseen data and how, in our rush to be a data-driven society, we might be missing things that matter, leading to dangerous decisions that can sometimes have disastrous consequences.

This is amazing and joins so many dots I didn't know I had. I recommend the full book makes it onto your Amazon wish list or similar as we are almost at Christmas and it would make a great present!!

Use of else block with Python loops by @sagunraj via @thestartup_

An awesome feature that most programming languages do not offer.

It certainly is a very useful feature and I feel sad that other languages seem to be so against it when it really does enable some great logic.

Change Your Life as a Programmer With the 80/20 Rule by Nuha Khaled via @BttrProgramming

The principle that will change how you make decisions.

This is a great rule to follow in most things and I think is a good start in programming too. Read this and have a good think about it.

WEBINAR: Data, Analytics and Decision-making: A Neuroscience POV - 22 December 2020

 

Data Science Central Webinar Series Event

Data, Analytics and Decision-making: A Neuroscience POV Join us for this latest DSC Webinar on December 22nd, 2020 This special 30-minute interactive Data Science Central webinar includes a series of audience games and experiments that explore the relationship between people and data through the neuroscience of human perception, memory, decision making, and narrative. Watch to gain a clear understanding of how people make decisions and experience their world to help uncover the best ways to guide analytics functions and set an agenda for a data-driven culture within your own organization, through a series of practical, real-world examples. Speakers: Naisan Geula, Senior Director - Tableau Hosted by: Sean Welch, Host and Producer - Data Science Central   Title:  Data, Analytics and Decision-making: A Neuroscience POV Date:  Tuesday, December 22nd, 2020 Time:  9:00 AM - 9:30 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

15 Exciting AI Project Ideas for Beginners by/via @kdnuggets

There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.

Some great ideas and definitely worth considering.

WEBINAR: Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform 16 December 2020

 

Data Science Central Webinar Series Event

Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform Join us for this latest DSC Webinar on December 16th, 2020 The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are driving three key data science capabilities to deliver the business outcomes organizations need: Connect internal and external datasets and pipelines with a distributed Graph Database Analyze connected data for never-before insights with Advanced Analytics Learn from the connected data with In-Database Machine Learning Join us for this latest Data Science Central webinar as we share design considerations and deployment best practices from these case studies by combining knowledge graphs with machine learning. Speaker: Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph Hosted by: Kurt Cagle, Community Editor - Data Science Central   Title:  Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform Date:  Wednesday, December 16th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Top 16 Python Applications in Real-World by @ClaireDCosta2 via @TDataScience

 Have a look at diverse applications of Python we have in the real world.

Some great examples of Python use and applications that would be great for providing those pieces of functionality.

WEBINAR: Hyperautomation – The next step in the evolution of RPA 18 November 2020

 

Sponsored News from Data Science Central

Using emerging technologies to automate repetitive processes and enhance the customer experience is high on most companies’ agenda. But then how can you combine them without any one of them failing? Register to hear from DataRobot & KPMG on the topic of combining Robotic Process Automation & Machine Learning to improve customer experience and reduce costs. Together we will discuss how to take your RPA to the next level of Intelligent Process Automation and demonstrate two collaborative use cases between KPMG and DataRobot. Join and learn how: What is Intelligent Process Automation? Introduction to DataRobot IT Ticket Classification use case How to develop machine intelligence? - Churn reduction demo Q&A Speakers Sudarshan Ravi Manager – Analytics & AI Digital Strategy & Automation, KPMG Bo Erlandsson Sales Director, DataRobot Yurii Mykhalchuk Customer Facing Data Scientist, DataRobot Register now

TabPy: Combining Python and Tableau by Bima Putra Pratama @kdnuggets

This article demonstrates how to get started using Python in Tableau.

Great code examples that really made it a lot easier to start experimenting with this.

Create Quick and Powerful GUIs Using “Dear PyGui” in Python by Ravi via @Medium

Bloat-free Graphical User Interface for Python with minimal dependencies. DearPyGui is an all-included GUI framework, DearPyGui is as simple as creating a python script.

A great piece of functionality that deserves a bit of analysis in case you can use it in your Python code. I'm certainly glad I read about it.

How to Become a Better Developer Every Single day by @BorrelliDev via @JS_PlainEnglish

 4 ideas to make you a top-class performer without long study nights.

A great place to go for some new ideas on what you can do to improve. I would suggest some real projects and some online free courses with someone like Coursera or edX.