WTF is a Tensor?!?
KDnuggets
MARCH 24, 2022
A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
March, 2022
400 
DogeCoin Prediction Using Time Series Analysis
Analytics Vidhya
MARCH 17, 2022
This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].
Join 20,000+
professionals
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Trending Sources
Low-Code Platforms Don’t Work Well with AI, But Here’s How We Can Fix That
Dataconomy
MARCH 3, 2022
Low-code is the latest hype and everyone seems eager to jump on the bandwagon after the promising numbers presented by Gartner and Forrester. Low-code is presented as this end-all, be-all in the development world, bringing along these clickbait titles such as “The era of coding is ending”. This always makes me chuckle a.
What Is a Transformer Model?
Hacker News
MARCH 25, 2022
If you want to ride the next big wave in AI, grab a transformer. They’re not the shape-shifting toy robots on TV or the trash-can-sized tubs on telephone poles. So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data element
Navigating the Future: Generative AI, Application Analytics, and Data
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Engineering a Successful New Car: Starting a New F1 Season with McLaren Racing
DataRobot Blog
MARCH 25, 2022
The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.
Climate spiral to show temperature change
FlowingData
MARCH 31, 2022
Say what you will about circular visualization, but the spiral plays. This one from NASA shows global temperature change over time : The visualization presents monthly global temperature anomalies between the years 1880-2021. These temperatures are based on the GISS Surface Temperature Analysis (GISTEMP v4), an estimate of global surface temperature change.
Sign up to get articles personalized to your interests!
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
More Trending
Let’s Find Out How to Make Engaging Videos?
Analytics Vidhya
MARCH 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].
Why data science boot camps are so popular?
Dataconomy
MARCH 29, 2022
Data science boot camps have become increasingly popular. When you hear “data science,” do you think of spreadsheets and huge numbers? Data science enables us to make sense of all the data we’re accumulating and transform it into action. The area is in high demand. Companies nowadays need data analysis.
How to Insure Your Money When You’re Banking Over $250K
Hacker News
MARCH 1, 2022
The investing information provided on this page is for educational purposes only. NerdWallet does not offer advisory or brokerage services, nor does it recommend or advise investors to buy or sell particular stocks, securities or other investments. The Federal Deposit Insurance Corp. insures up to $250,000 per depositor, per institution and per ownership category at member.
Data Analytics and Social Media: Twin Pillars in the Evolution of Business
Smart Data Collective
MARCH 4, 2022
META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business. Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. These may seem like unrelated technologies to the average person, but they are actually closely intertwined.
Get Better Network Graphs & Save Analysts Time
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Sunrise times with permanent Day Light Saving
FlowingData
MARCH 18, 2022
Changing the clocks twice a year can be a hassle, so some people in the United States want to permanently keep Daylight Saving Time. However, that also means some areas in the country end up with late sunrise, which means going to work or school in the dark. For The Washington Post, Justin Grieser, Joe Fox, and Tim Meko mapped how sunrise times would change.
3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks
KDnuggets
MARCH 4, 2022
While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.
Audio Denoiser: A Speech Enhancement Deep Learning Model
Analytics Vidhya
MARCH 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.
Everything you need to know about data retention policy
Dataconomy
MARCH 30, 2022
Are you interested in creating or modifying a data retention policy? A company’s data retention policy describes how it saves data for compliance or regulatory reasons and destroys information once it is no longer required. A basic data retention policy should describe the formatting and storage system or devices for.
Understanding User Needs and Satisfying Them
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Data is Risky Business: Thinking the Unthinkable
The Data Administration Newsletter
MARCH 15, 2022
This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].
Big Data Makes Smart Buildings the Norm in the 21st Century
Smart Data Collective
MARCH 21, 2022
You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.
Total refugees from Ukraine, compared to other countries
FlowingData
MARCH 23, 2022
Millions of Ukrainians (over three million as of this writing) have left their homes for other countries in a relatively short period of time. Sara Chodosh, Zach Levitt and Gus Wezerek for NYT Opinion put the total as of March 13 into perspective. Over just an 18-day period, Ukraine refugee counts have surpassed counts during those of other refugee crises over one-year periods, since 1975.
How to Stay on Top of What’s Going on in the AI World
KDnuggets
MARCH 4, 2022
How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Background Removal in the Image using the Mediapipe Library
Analytics Vidhya
MARCH 15, 2022
This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.
Is DataOps more than DevOps for data?
Dataconomy
MARCH 21, 2022
DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing. Both methods argue that collaboration is the primary approach for application development and IT operations teams, but they target different operation.
Best of Tableau Web: February 2022
Tableau
MARCH 9, 2022
Julia Biedry. Senior Solution Engineer, Tableau. Bronwen Boyd. March 9, 2022 - 8:03pm. March 15, 2022. Welcome to Best of Tableau Web—a monthly highlight of tips, tricks, and inspiration from across the internet on Tableau and data visualization. This month's highlight is by Julia Biedry Gonzalez, Tableau lead solution engineer for the United Nations, and Global Philanthropy Chair for Salesforce’s Latinoforce Equality Group.
Serverless Kubernetes Has Become Invaluable to Data Scientists
Smart Data Collective
MARCH 2, 2022
Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.
Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Wordle analysis through the lens of 15m tweets
FlowingData
MARCH 11, 2022
I don’t know if you’ve heard of it, but there’s this game called Wordle. You get a certain number of guesses to figure out a five-letter word each day. Apparently a lot of people play it, so much so that Robert Lesser collected 15 million Wordle-related tweets since January. Then he analyzed the popularity and difficulty levels of all the daily words.
The Range of NLP Applications in the Real World: A Different Solution To Each Problem
KDnuggets
MARCH 25, 2022
Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.
Keyword Extraction Methods from Documents in NLP
Analytics Vidhya
MARCH 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].
Artificial Intelligence Call Center: AI’s impact on the customer service
Dataconomy
MARCH 15, 2022
The Artificial Intelligence Call Center era has begun. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that millions of customers interact with today.
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Data literacy is the key to better decisions, innovation, and data-driven organizations
Tableau
MARCH 14, 2022
Wendy Turner-Williams. Chief Data Officer. Christine Zuniga. March 14, 2022 - 10:16pm. March 15, 2022. Organizations are constantly seeking ways to maintain market relevance and differentiate themselves from competitors, by investing in data as an asset. It’s critical for businesses to identify useful signals from the ever increasing volumes of data being generated to make decisions quickly.
Side Hustle Ideas for Experienced Data Scientists in 2022
Smart Data Collective
MARCH 5, 2022
Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.
Oldest, Youngest, and Middle Children, in Differently Sized U.S. Households
FlowingData
MARCH 9, 2022
When talking to someone new, the conversation often leads to your family when you were growing up. Do you have siblings? Older than you? Younger? I thought I’d try answering the questions for everyone in the United States. The chart below shows the distribution of kids younger than 18 by birth order and number of kids in the household. Read More.
Machine Learning Pipeline Optimization with TPOT
KDnuggets
MARCH 31, 2022
Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.
How Embedded Analytics Gets You to Market Faster with a SAAS Offering
Advertisement
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Let's personalize your content