Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone! While cyberpunk has not yet entered our lives that much, and neuro interfaces are far from ideal, LiDAR can become the first stage on the path to the future of manipulators. Therefore, in order not to get bored during the holidays, […]. The post Hand Pose Estimation based on LiDAR in 30 minutes appeared first on Analytics Vidhya.

Data Science 381

Data Science Analytics Analytics Python 381

Dataconomy

SEPTEMBER 3, 2021

Our world revolves around data. Data science, machine learning, and AI have become some of the most critical technologies and industries in the 21st Century, penetrating almost every aspect of our lives, including fitness and wellbeing. The impact of technology on fitness industry On the consumer side, this technology triumvirate.

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Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources.

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Data Lakes Data Warehouse ETL Data Scientist 140

FlowingData

SEPTEMBER 3, 2021

We had to do a lot more from home in 2020. Based on the American Time Use Survey, we spent about 62% of our waking time at home. In contrast, we only spent about 50% in 2019. Here is the breakdown by activity on a weekday. For each year, I counted the total minutes for each activity and divided by total waking time to estimate percentages. For privacy reasons, the where is not provided for when respondents were sleeping, grooming, or doing personal activities.

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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?

AI

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed. No […]. The post Linear Regression and Gradient Descent in PyTorch appeared first on Analytics Vidhya.

Data Science 372

Data Science Python Analytics Analytics 372

Dataconomy

SEPTEMBER 3, 2021

Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging. Off-site service providers typically.

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Smart Data Collective

AUGUST 30, 2021

In the current economic turbulent times, showing business stakeholders that your knowledge sharing and reusing brings business value works as a driving force for investing in a knowledge management tool. . But, how do you convince stakeholders about the importance of knowledge management? Simple! Use data and analytics to back your claims. The simplest way is to measure the performance of your knowledge management.

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Analytics Analytics Big Data Analytics Big Data Analytics 133

Analytics Vidhya

SEPTEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!

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Natural Language Processing Data Science Analytics Analytics 381

Dataconomy

AUGUST 31, 2021

This year a significant event will take place: somewhere in the world, the billionth CCTV camera will be installed. This means that a camera already monitors every seventh person on the planet. And in some cities, more than a million cameras are already in use, making the ratio even more.

Big Data 167

Big Data Big Data 167

The Data Administration Newsletter

AUGUST 31, 2021

Data is everywhere! But can you find the data you need? Can you trust it when you get it? What can be done to ensure the quality of the data? How can you show the value of investing in data? These are not new questions, but many people still do not know how to practically […].

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Data Quality Data Governance 105

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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.

Database

Smart Data Collective

SEPTEMBER 1, 2021

As we have stated before, big data is becoming vital to modern marketing strategies. We have mentioned that it has been instrumental in virtually all digital marketing strategies in recent years, such as PPC advertising. However, it is becoming abundantly clear that big data technology is also rapidly transforming many traditional marketing practices as well.

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Analytics Vidhya

AUGUST 30, 2021

This article was published as a part of the Data Science Blogathon Hello readers! In this article, I am going to discuss one of the most essential parts of Apache Spark called RDD. Before getting into Spark RDD, I strongly recommend you to read my article, Understand the internal working of Apache Spark to get an overview of […]. The post Understanding the Basics of Apache Spark RDD appeared first on Analytics Vidhya.

Data Science 363

Data Science Analytics Analytics Data Engineering 363

Dataversity

AUGUST 30, 2021

Click to learn more about author Kevin Campbell. As enterprises continue to transform their legacy technology into tools fit for the modern age, digital transformation has become the key buzzword describing this transition into the 21st century. According to Gartner, digital transformation is a top priority for at least 91% of organizations, and yet despite this huge buy-in, only 40% of organizations […].

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DataRobot

SEPTEMBER 3, 2021

Amy D. Grubb joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the difficulties of digital transformation and the role of I-O psychology in a large government environment. Trained as an industrial and organizational psychologist, with a Ph.D. from the University of Houston, Amy Grubb has worked at the Federal Bureau of Investigation for more than 22 years.

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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.

Smart Data Collective

SEPTEMBER 2, 2021

Hacker Moon published an article talking about the ways that AI and big data are changing the future of the video production industry. Both television and online media outlets are benefiting from these advances. Connectivity and computing power have improved dramatically in recent years. This has made big data accessible to more and more industries.

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Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Object detection is one of the popular applications of deep learning. Let’s start by considering a real-life example. Most of you would have used Google Photos in your phone, which automatically categorizes your photos into groups based on the objects present in them under […].

Deep Learning 353

Deep Learning Deep Learning Data Science Analytics 353

FlowingData

AUGUST 30, 2021

Chris Yu, Henrik Schumacher, and Keenan Crane from Carnegie Mellon University are working on repulsive curves, which is a method to efficiently unravel curves so that they don’t overlap : Curves play a fundamental role across computer graphics, physical simulation, and mathematical visualization, yet most tools for curve design do nothing to prevent crossings or self-intersections.

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Algorithm 97

Tableau

SEPTEMBER 2, 2021

Sue Kraemer. Curriculum Development Manager, Tableau. Kristin Adderson. September 2, 2021 - 1:50pm. September 2, 2021. I’m proud to announce that our ready-made Data Literacy One curriculum is now available in Canvas learning management system (LMS) format. This latest Tableau Academic program release enables instructors to quickly get up and running to teach data literacy skills to the next generation of decision makers. .

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Tableau Data Visualization Analytics Analytics 95

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.

Data Science

The Data Administration Newsletter

AUGUST 31, 2021

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization. Some violate these laws and use subtle distortions to manipulate users’ […].

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Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Introduction Data structures refer to the pattern of data arrangement on a disK that allows for convenient storage and display in the computing domain. They are related to the field of data science, which is expected to be a lucrative career choice in 2021. […]. The post Trees in Data Structure Every Data Scientist Should Know About appeared first on Analytics Vidhya.

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Data Scientist Data Science Analytics Analytics 344

FlowingData

SEPTEMBER 2, 2021

After Hurricane Ida, New Orleans experienced power outages. The NASA Earth Observatory show the outages by comparing night lights on August 31, 2021 against night lights on August 9, 2021: VIIRS has a low-light sensor—the day/night band—that measures light emissions and reflections. This capability has made it possible to distinguish the intensity, types, and sources of lights and to observe how they change.

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Tableau

SEPTEMBER 2, 2021

Sue Kraemer. Curriculum Development Manager, Tableau. Kristin Adderson. September 2, 2021 - 1:50pm. September 2, 2021. I’m proud to announce that our ready-made Data Literacy One curriculum is now available in Canvas learning management system (LMS) format. This latest Tableau Academic program release enables instructors to quickly get up and running to teach data literacy skills to the next generation of decision makers.

Tableau 94

Tableau Data Visualization Analytics Analytics 94

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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.

Analytics

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. The purpose of this blog post is to discuss one dimension of trust in the category of Operations: Humility.

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AI AI 90

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s world, the communication network is expanding at a very fast rate. Businesses are going digital to improve management efficiency. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

Data Science 334

Data Science Analytics Analytics Python 334

FlowingData

SEPTEMBER 1, 2021

Wildfires continue to burn in the western United States. The New York Times provides a tracker showing the ones burning now , along with air quality and a smoke forecast. A couple of weeks ago, it smelled of smoke in my area and the sky was orange. I guess this is the new norm. Tags: New York Times , tracker , wildfire.

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fast.ai

SEPTEMBER 2, 2021

Summary : By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

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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.

Analytics

Dataversity

SEPTEMBER 3, 2021

Click to learn more about author Matt Yonkovit. Ever since the start of information technology and the first computers were invented, there has been vendor lock-in. From the very first mainframes through to modern cloud and data companies, the guidance has been to avoid lock-in where you can. It’s also the reason open-source software was […]. The post Balancing Vendor Lock-In and Business Advantage – Getting the Right Combination appeared first on DATAVERSITY.

Database 52

Database 52

Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Image 1 Overview: This article is a walkthrough of basic Git and GitHub concepts for beginners. Table of contents: What is Version Control System (VCS)? Types of VCS Difference between Git and GitHub Installation of Git Git operations and commands What is Version Control […]. The post Git and GitHub Tutorial for Beginners appeared first on Analytics Vidhya.

Data Science 327

Data Science Analytics Analytics 327

FlowingData

AUGUST 31, 2021

Noah Veltman fed an AI movie descriptions and made it generate images. The results are in quiz form so that you can guess the movies. I would give myself a poor rating for guessing the movies, but once you see the answer, you’re like oh yeah of course. Veltman used VQGAN+CLIP, which you can find out more about here. Tags: AI , movies , neural network , Noah Veltman.

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AI AI 85

Explosion

SEPTEMBER 1, 2021

Since founding Explosion in 2016, we’ve run the company as a profitable business. This stable platform has helped spaCy grow to one of Python’s most popular open-source projects. We’ve funded spaCy from sales of our annotation tool Prodigy , which we’ve now sold to over 500 companies, with thousands of customers in total. The next step for Explosion is Prodigy Teams: a hosted version that adds collaboration and production stability features, while maintaining the data privacy and programmability

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Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.