WEBINAR: The Beautiful Science of Data Visualization - 10 March 2021

 

Data Science Central Webinar Series Event The Beautiful Science of Data Visualization Join us for this latest DSC Webinar on March 10th, 2021 Explore the scientific underpinnings of what enables people to understand data quickly and effectively. In this latest Data Science Central webinar, take a deep dive into how the neuroscience of the human visual system works and learn methods for effectively telling compelling data stories. Speakers:   Ashley Howard Neville, Senior Technical Evangelist - Tableau Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Solving Problems with Commercial & Open Source Date:  Wednesday, March 10th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

AI Regulation: No Longer a Distant Future by Natalia Modjeska via @TDataScience

How the Biden administration will change the AI playing field, and what you should be doing now.

I agree with Natalia - if you do some due diligence now and prove that your AI is ethical and does not include anything hidden from what users or customers are told then you have already taken the right steps.

WEBINAR: How SlickDeals Delivers Analysis-Ready Data from its Snowflake Data Warehouse to Support Business-Critical Decisions - 25 February 2021

 

Sponsored News from Data Science Central

Thursday, February 25th, 2021 | 1PM ET / 10AM PT   Join us for a webinar conversation with SlickDeals’ Data & Analytics Director, Greg Mabrito, to learn how he is building a cloud analytics platform to deliver dimensional analysis for business-stakeholders to provide more accurate reporting, in a fraction of the time. You’ll learn how SlickDeals: Modernized their analytics infrastructure to support ad-hoc reporting demands of business stakeholders. Deliver analysis-ready data to analysts to ensure timely and accurate decision-making. Moved away from SSAS while maintaining a business semantic layer and dimensional analysis capabilities on data in Snowflake.   REGISTER NOW OUR SPEAKERS     GREG MABRITO Director of Data and Analytics, Slick Deals   DAVE MARIANI Chief Technology Officer, AtScale

WEBINAR: Build – and Choose – Better Models Faster: Data Scientists in a Box - 25 February 2021

 

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Join us Feb. 25 How do you know which modeling methods will work best on your data? With so many predictive modeling methods and ways to compare and combine models, how can you easily identify the best models? Join us for a free live webinar Feb. 25, where we will explore case studies on coffee ratings, polymer manufacturing and biomarker identification, showing you how to easily build, assess and select the best-performing model. Kemal Oflus will demonstrate how to utilize machine learning methods without having to write code. Who should attend? Scientists, engineers and data explorers who want to take greater advantage of machine learning methods. Register now

WEBINAR: Ten Keys to AI Success in 2021 24 February 2021

 

Ten Keys to AI Success in 2021 February 24th, 2021 | 11:00 am EST - 45 min including Q&A Register for the webinar The potential business benefits of AI are immense. As PWC predicts "AI could contribute up to $15.7 trillion to the global economy in 2030", but it would be a mistake to think that adopting AI is without its challenges. Join our webinar, Top 10 Keys to AI Success in 2021. Find out how business leaders across industries saved time and improved accuracy by using AI, resulting in reduced costs and increased overall ROI. In this webinar, you will learn how to: Optimize and automate AI to deliver ROI for your business Implement an MLOps strategy and infrastructure that operationalizes, monitors, and governs your entire machine learning lifecycle Get more accurate results 10x faster by automating the key stages of production machine learning Democratize AI with education programs that create citizen data scientists Identify common pitfalls and mistakes made when deploying AI into production Register

What Are Duck Typing and Monkey Patching in Python? by @ycui01 via @BttrProgramming

 One reason why we say Python is flexible.

The coding side of me likes duck typing and the data side of me is a bit horrified. I kind of think of monkey patching as an in-stream correction and so I can cope it is better.

WEBINAR: New Normal: How Data Science is Solving Healthcare Challenges 24 February 2021

 

Data Science Central Webinar Series Event

New Normal: How Data Science is Solving Healthcare Challenges Join us for this latest DSC Webinar on February 24th, 2021 In this latest Data Science Central webinar, learn how researchers are using the power of data science to solve global healthcare challenges. NVIDIA’s Geoff Levene and Dell’s Robin Braun describe how hospitals, researchers, universities, doctors, and government leaders are working together to unlock new opportunities in fighting infectious diseases, improving supply chains, and accelerating the development of breakthrough medicines. They also discuss how data science innovations are improving daily patient care and healthcare efficiency. Speakers:   Robin Braun, Global Storage, Healthcare - Dell Technologies   Geoff Levene, Director, Global Business Development: Data Science and Space - NVIDIA Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  New Normal: How Data Science is Solving Healthcare Challenges Date:  Wednesday, February 24th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

How to Share Python Scripts with Colleagues in 15 minutes by osintalex via @Medium

 A very, very easy way to add a GUI and package your program as a windows executable.

This looks very useful and I think many of us will read this and see the light - I always wanted to have a GUI on my code and now I can!

Comparing Code Editors for Ruby on Rails by @davidmles in @thestartup_

Sublime Text vs Atom vs Visual Studio Code vs TextMate vs RubyMine vs Vim

I hadn't heard of some of these but they look quite interesting. Worth a look if you code in this language.

The 3 Things to Keep in Mind While Building the Modern Data Stack by Raghotham Murthy via @TDataScience

Building Your Data Stack is Confusing. It Doesn’t Have to Be.

I really enjoyed reading this and it should be quite helpful to read this when you are thinking of creating a data stack.

WEBINAR: Top 3 Imperatives to Scale Analytics Across the Enterprise 16 February 2021

 

Data Science Central Webinar Series Event

Top 3 Imperatives to Scale Analytics Across the Enterprise Join us for this latest DSC Webinar on February 16th, 2021 Organizations are keenly aware that data and analytics unlock hidden opportunities and create a competitive advantage. However, according to a recent survey, only about 25% of organizations have actually forged a data-driven culture. Attend this latest Data Science Central webinar to learn how to scale analytics across an enterprise and reap the benefits. In this webinar, data experts from TIBCO Software, Inc. also discuss how to: Quickly create and deploy analytic apps fueled by data science and machine learning Easily integrate with cloud services and frameworks to create innovative data science pipelines Turn insights into actions with visual analytics, machine learning, and streaming analytics Speakers:   Neil Kanungo, Data Scientist - TIBCO Software, Inc.     Monica Cisneros, Product Marketing Manager - TIBCO Software, Inc.   Adam Faskowitz, Data Scientist - TIBCO Software, Inc.  Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Top 3 Imperatives to Scale Analytics Across the Enterprise Date:  Tuesday, February 16th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

Knowing these, You Can Cover 99% of File Operations in Python by Xiaoxu Gao in @TDataScience

 Boost your efficiency in working with files in Python.

Some great python code in here and you should be able to apply much of this to your own code and potentially make a few changes.

Use Python to Value a Stock Automatically by Bohmian via @dd_invest

 Is Apple Stock Overvalued? Just Enter the Ticker and Let Python decide Automatically!

This might be useful, but at the very least is a good exercise in coding and processing financial data. Contains code and examples.

Mastering indexing and slicing in Python y @gmyrianthous via @TDataScience

 A deep dive into indexing and slicing ordered collections in Python.

Has some code examples and should help you to be far more efficient and have better results too.