Resume making is very tricky. A candidate has many dilemmas,
- whether to state a project at length or just mention the bare minimum
- whether to mention many skills or just mention his/her core competency skill…
In this article, we will explore the Liskov’s substitution principle, one of the SOLID principles and how to implement it in a Pythonic way. The SOLID principles entail a series of good practices to achieve better-quality software. In case some of you aren’t aware of what SOLID stands for, here it is:
Added by Monika Sangwan on April 26, 2021 at 2:45am — No Comments
Tensor Flow permits the subsequent:
Added by Apoorva Gupta on April 14, 2021 at 1:54am — No Comments
To all Data Analysts big and small:
Many Corporates typically have Self service BI and DWH solutions ( I am asking only about those
who did NOT build an inhouse solution) :
-When is programming needed in most leading Self Service configurations?
-When do analysts and Business executives require coding and programming when the Self…Continue
Added by Jacob Goldenberg on December 12, 2020 at 3:58pm — No Comments
In the past, slow evaluation of mathematical functions and large memory footprint were the most significant drawbacks of Java compared to C++/C for numeric computations and scientific data analysis. However, recent enhancements in the Java Virtual Machine (JVM) enabled faster and better numerical computing due to several enhancements in evaluating trigonometric functions.
In this article we will use the DataMelt (https://datamelt.org) for our…Continue
Added by jwork.ORG on November 7, 2020 at 10:21am — No Comments
June 12, 2020
Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.
Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments
Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the…Continue
Quite often, non-technical executives have difficulties understanding what programming, on a very fundamental level, is all about. Because of that knowledge-gap, they tend to hire and overburden experienced data professionals with tasks which they are hopelessly overqualified for. Such as, for example, doing ad-hoc SQL queries on CRM data: "You're the go-to-guy for all things data, and we need the results for the board meeting tomorrow." That's a quite humbling and frustrating…Continue
Added by Rafael Knuth on December 5, 2019 at 6:30am — No Comments
Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of your Office 365 license. Thanks to the Microsoft naming conventions, it is easy to confuse the new features with existing ones. That being said, Power Query and Power Pivot are not the same things as Pivot Tables, which you have likely been using for years.…Continue
Added by Rafael Knuth on November 28, 2019 at 6:10am — No Comments
Here is a short blog I was asked to make about making a personal Wiki from Wikipedia. It shows the basic steps in text processing so I hope it will be useful for data scientists. It also requires some knowledge of MediaWiki setup on a web server, and some (not very advanced) knowledge of the Python programming language. It takes only several days to create this Wiki with Wikipedia articles if you know…Continue
Added by jwork.ORG on October 24, 2019 at 1:21am — No Comments
Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges.
The increasing popularity and accessibility of Artificial Intelligence solutions is rapidly reshaping many industries, from healthcare through finance to aviation. Although the application of the latest technologies has always been an essential consideration for companies striving to get…Continue
Added by Łukasz Grzybowski on July 23, 2019 at 1:30am — No Comments
Sales data analyses can provide a wealth of insights for any business but rarely is it made available to the public. In 2018, however, a retail chain provided Black Friday sales data on Kaggle as part of a Kaggle competition. Although the store and product lines are…
Added by Ayumi Owada on April 17, 2019 at 6:30am — No Comments
Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?
There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It…Continue
Added by Kai Waehner on January 22, 2019 at 10:00am — No Comments
October is historically the most volatile month for stocks, but is this a persistent signal or just noise in the data?
Stocks, Significance Testing & p-Hacking. Follow me on Twitter (twitter.com/pdquant) for more. Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the…Continue
Added by Patrick David on January 18, 2019 at 5:30am — No Comments
Resume making is very tricky. A candidate has many dilemmas,
Electronic spreadsheets have been around for nearly 40 years now. They were invented by Bob Frankston and Dan Bricklin, founders of VisiCalc, and I had a chance to chat with both gentlemen a couple of months ago. I highly recommend watching this TED talk with Dan Bricklin:
It's important to understand for…Continue
Added by Rafael Knuth on December 13, 2018 at 2:30am — No Comments
My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill Vorhies, shared his thoughts on career transitioning toward data science. I wrote him an email, complimenting him on his blog post, and I dropped a few lines about my own transition. Here's his response:
"Congratulations on your remarkable journey. Perhaps you’d like to write one or more articles…Continue
Added by Antonio Cachuan on November 20, 2018 at 8:01pm — No Comments
Over the last years, my small business has undergone a digital transformation from a marketing service company to a data literacy consultancy. What does a data literacy consultancy do? We teach business users within large enterprises to work with data, and we help them acquire the necessary skills from state of the art Excel to Python, querying structured, semi-structured and unstructured databases, as well as math, statistics, and probability.
English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Business Review. While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up…Continue
Latest update: November 16, 2018
Microsoft Excel has been around for over 30 years now, and chances are it's not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. Tech-savvy small and mid-sized businesses embrace innovative alternatives to Excel. However,…Continue