MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate pain in the neck during the development process and delivering ML-powered software easier, not to mention the relieving of every team member's life.
How to Develop a Weighted Average Ensemble With Python
Weighted average ensembles assume that some models in the ensemble have more skill than others and give them more contribution […]
The Gartner BI Bake-Off 2021 Goes Viral and Takes on the Daunting Task of Analyzing Data Around the COVID-19 Pandemic
Qlik had the honor to participate in the Gartner Modern Analytics and BI Bake-Off for the 7th year in a row, with involvement reserved for BI vendors based on market interest and attention. It was a Virtual Session, again, this year on May 5th 2021, closing off an exciting day two of the Gartner Data & Analytics Virtual Summit, Americas.
11 Dimensionality reduction techniques you should know in 2021
Reduce the size of your dataset while keeping as much of the variation as possiblePhoto by Nika Benedictova on UnsplashIn both Statistics and Machine Learning, the number of attributes, features or input variables of a dataset is referred to as its dimensionality. For example, let’s take a very simple dataset containing 2 attributes called Height and Weight. This is a 2-dimensional dataset and any observation of this dataset can be plotted in a 2D plot.
Data Analytics vs Data Analysis, Are they similar?
This article was published as a part of the Data Science Blogathon. If you have a basic knowledge of tech, you must have ... The post Data Analytics vs Data Analysis, Are they...
A simple static visualization can often be the best approach
How I overengineered a worse solution by making an interactive visualization.
Python Altair Combines Filtering, Grouping, and Merging into a Single Data Visualization
A complete tool for exploratory data analysisPhoto by Isaac Smith on UnsplashAltair is a statistical data visualization library for Python. It provides a simple and easy-to-understand syntax for creating both static and interactive visualizations. What I think separates Altair from other common data visualization libraries is that it integrates data analysis components into the visualizations seamlessly. Thus, it serves as a highly practical tool for data exploration.
How to Use Data as a Service (DaaS) Tools in Your Marketing Analysis
Data as a service (DaaS) is becoming increasingly popular. New advancements in cloud computing technology have made remote, cloud-based data storage and management easier to use and more accessible. Businesses using DaaS platforms can see improvements in data collection, usage, and management. Additionally, offloading data management to DaaS companies means more internal capacity for business […]
Page Level Query Analysis at Scale with Google Colab, Python, & the GSC API [Video Instructions Included]
![Page Level Query Analysis at Scale with Google Colab, Python, & the GSC API [Video Instructions Included]](https://moz.com/cms/Example-Pivot-_-Full-Dataset-1.png?mtime=20210430154636&focal=none)
Given the apparent limitations with the Google Search Console traffic data available to the SEO community, the data engineering team at Inseev Interactive developed a simple script that allows you to get the data you need in a flexible format for many great analytical views. Better yet, it’s all available with only a few input variables.
Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform
Creating grand charts and graphs from your data analysis is supported by many powerful tools. However, how to make these visualizations meaningful can remain a mystery. To address this challenge, Microsoft Research has quietly open-sourced a game-changing visualization platform.
50 Popular Developer Communities to Keep an Eye On in 2021
Analytics Insight has listed the top 50 developer communities that are helping programmers in many ways. Programming and coding is an art! Expert sometimes points that programmers are born with the skill. Even though coders
Divided we fall: Why fragmented global privacy regulation won’t work
The growing patchwork of US state-level privacy laws will inflict significant costs on businesses and the American public.
How User Data Privacy and Antitrust Law Got All Tangled Up
This week, we look at how the latest iPhone software update ties into the debate about regulating big tech.
How to Track Clicks on a Link in Google Analytics 4
If you're a marketer, you've undoubtedly asked yourself, "How can I track clicks on a link in Google Analytics?" Tracking clicks can help you understand where your audience is going from one page to another. It'll also let you know what links they're interested in, what CTAs they're clicking, and more.
You can report indexing issues directly to Google now; Plus, in-person events back in 2022; Thursday’s daily brief
Google updates in-SERP travel planning tools as well.
Three resources to help you understand today’s data and AI regulatory landscape
The data privacy and AI protection regulatory landscape seems to evolve on a constant basis. Almost three years ago, organizations were developing roadmaps for strong information and data governance programs to comply with the EU General Data Protection Regulation (GDPR). Shortly prior to this, businesses were facing the U.S. California Consumer Privacy Act (CCPA) and
Beginner’s Guide to Clustering in R Program
This article was published as a part of the Data Science Blogathon. R you ready? Let’s learn clustering in R. The post Beginner’s Guide to Clustering in R...
Build a Lake House Architecture on AWS
Organizations can gain deeper and richer insights when they bring together all their relevant data of all structures and types and from all sources to analyze. In order to analyze these vast amounts of data, they are taking all their data from various silos and aggregating all of that data in one location, what many […]
4 tips for launching a successful data strategy
Data. I find it somewhat astounding that four little letters are having such a profound impact on our social, political, and corporate worlds. Data is quickly becoming the world’s currency, which puts real pressure on CIOs to develop a high value strategy for their businesses. Most companies are teeming with data, but for a variety of reasons, have not been able to put it to good use. A bald allusion to the Rime of the Ancient Mariner comes to mind, “Data, data everywhere, but not a drop to use.”
Python Hockey Analytics Tutorial
Python is an open-source programming language that can be used for a wide variety of applications such as data analysis, data science, and data visualization, software and web development, and writing scripts for systems. Python is so powerful that some parts of the MacOS actually rely on it, and the combination of this power and Python’s intuitive, user-friendly syntax make it one of the most popular programming languages in the world. If this sounds like something you want to learn — especially within the context of analyzing hockey statistics — you’ve come to the right place. By end of this tutorial, you will have not only a base-level understanding of Python as a programming language, but you will be comfortable enough in Python to perform small-scope data analysis on your own.
