KDnuggets
JULY 22, 2022
The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.
Analytics Vidhya
JULY 31, 2022
This article was published as a part of the Data Science Blogathon. Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].
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Dataconomy
JULY 21, 2022
What programming language for artificial intelligence is suitable for you? It is a crucial question for your company’s future. Every major tech business and even startups are working on artificial intelligence (AI), which has emerged as one of the hottest issues and largest study disciplines. It’s a tremendously broad topic.
Hacker News
JULY 14, 2022
Researchers have found a way to use the web's basic functions to identify who visits a site—without the user detecting the hack.
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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?
FlowingData
JULY 1, 2022
As you know, Reddit is typically a sophisticated place of kind and pleasant conversation. So Colin Morris analyzed the usage of compound pejoratives in Reddit comments : The full “matrix” of combinations is surprisingly dense. Of the ~4,800 possible compounds, more than half occurred in at least one comment. The most frequent compound, dumbass , appears in 3.6 million comments, but there’s also a long tail of many rare terms, including 444 hapax legomena (terms which appear only once
Smart Data Collective
JULY 7, 2022
We have previously talked about the reasons that data analytics technology is changing the financial industry. One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. They point out that value investors are using machine learning technology to anticipate future stock prices.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
JULY 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig. This component develops large-scale data processing using scattered and compatible algorithms in the […].
Dataconomy
JULY 18, 2022
Artificial intelligence customer services are on the rise. The automation of services has accelerated recently, providing customers with the facility they need to carry out their routine duties. Users may now make restaurant reservations, order pizza, book movie tickets, and hotel rooms, and even arrange appointments at doctors’ offices, thanks.
Hacker News
JULY 24, 2022
Last month we featured an awesome DIY solar cargo trailer that an Electrek reader built for his electric bike. Just in case you needed any more proof that our readers are some of the handiest and most clever eco-DIYers on the planet, we’ve got another impressive solar powered electric bike to show you. This time it does double duty a school drop-off vehicle for the kids and a grocery getter. more….
FlowingData
JULY 11, 2022
The United States Department of Agriculture provides annual inventory data on livestock, crops, and various products. The tool is very ad hoc government-looking, but it seems to work well enough. Erin Davis made some fun maps that use the data at the county level to compare livestock populations to people populations. Davis compared animals individually, but the multivariate one that compares cows, chickens, and pigs is my favorite.
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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.
Smart Data Collective
JULY 20, 2022
Artificial intelligence is one of the most disruptive forms of technology shaping the marketing profession since the dawn of the Internet. Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.
KDnuggets
JULY 14, 2022
Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.
Analytics Vidhya
JULY 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.
Dataconomy
JULY 19, 2022
Data science techniques, applications, and tools allow organizations to extract valuable insights from data. The evolution of data science and advanced forms of analytics has created significant change for companies. The conditions were created for the emergence of various applications that provide deeper insights and business value. While data science.
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.
DataRobot Blog
JULY 13, 2022
Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.
FlowingData
JULY 29, 2022
DALL-E is an AI system from OpenAI that creates images from text. You can enter very random things and get very real-looking output. So of course someone entered “data visualization in the style of insert-anything-here” for a wide array of inspiration. I’m partial to the bar chart made out of cake. Tags: AI , DALL-E , OpenAI.
Smart Data Collective
JULY 21, 2022
Data analytics is incredibly valuable for helping people. learn. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education. Big data isn’t just helping with education in the field of academia.
KDnuggets
JULY 8, 2022
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.
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.
Analytics Vidhya
JULY 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Nowadays, people around the world think about drones?—?and not just how fun they are to fly, but how much drones have improved our modern life. Source: [link] From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and […].
Dataconomy
JULY 13, 2022
Artificial intelligence careers are in high demand. Artificial intelligence (AI) has created new opportunities during the past few years. It is creating waves throughout industries, making things that were previously inconceivable, like space exploration and melanoma diagnosis, possible.
DataRobot Blog
JULY 5, 2022
Real world problems are multidimensional and multifaceted. Location data is a key dimension whose volume and availability has grown exponentially in the last decade. At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency.
FlowingData
JULY 19, 2022
There’s a database of feathers called Featherbase , because of course there is: Featherbase is a working group of German feather scientists and other collectors worldwide who came together with their personal collections and created the biggest and most comprehensive online feather library in the world. Using our website, it is possible to identify feathers from hundreds of different species, compare similarities between them, work out gender or age-specific characteristics and look at the
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.
Smart Data Collective
JULY 19, 2022
AI technology has become incredibly helpful for companies trying to boost productivity. There are a lot of invaluable applications that use AI to bolster efficiency, lower costs and help companies improve the quality of their products and services. According to research from Oberlo, 91% of businesses have invested in AI technology to achieve these benefits.
KDnuggets
JULY 20, 2022
14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet.
Analytics Vidhya
JULY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.
Dataconomy
JULY 20, 2022
A modern corporation needs to be concerned about things like climate change, supply chain risk, and competition intelligence. Signal AI’s External Intelligence Graph maps these relationships and shows how an organization is “associated” with these crucial issues. This brand-new type of data, which makes sense of the massive amounts of.
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.
Tableau
JULY 12, 2022
Kevin Glover. Director, Product Management, Tableau. Bronwen Boyd. July 12, 2022 - 8:54pm. July 13, 2022. The Tableau 2022.2 release includes features that give developers an easier embedded analytics experience and more control over authentication. Let’s dive into the capabilities that help you empower users with self-service analytics in your applications.
FlowingData
JULY 4, 2022
It’s Independence Day here in the United States, which means there will be fireworks in a lot of places. This chart from John Keefe for CNN shows why plans have changed in many areas. That’s a big spike on July 4 and 5. As an aside, that’s a Datawrapper chart. The tell is in view source, but the spacing and interaction usually tips me off.
Smart Data Collective
JULY 25, 2022
Business intelligence is an integral part of any business strategy. It helps to turn your data or objectives into something meaningful. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. Sixty-four percent of BI users have felt it was very helpful. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.
KDnuggets
JULY 11, 2022
Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.
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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.
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