KDnuggets
MAY 26, 2022
Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.
Analytics Vidhya
MAY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].
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Dataconomy
MAY 16, 2022
Some days are so wild that I wish I could clone myself to keep up with everything. Well, you and I weren’t the only ones thinking about this. Artificial intelligence, which is notoriously changing the world today, was born from the idea of cloning human beings mentally instead of physically.
Hacker News
MAY 17, 2022
While life may soon start to feel a little less sweet for EV owners in Norway, the country is eyeing its next strategic move toward an even greener future, and that means fewer private cars (even electric varieties) clogging the roads in favor of walking, cycling, and taking the bus. more…. The post Norway rolls back EV incentives while boosting walking and cycling appeared first on Electrek.
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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
MAY 12, 2022
Oftentimes what we’re doing isn’t so important as who we’re spending our time with. Based on data from the American Time Use Survey, this is a simulated day for 100 people. Read More.
Smart Data Collective
MAY 19, 2022
Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. You can use their sophisticated analytics dashboard to improve your marketing strategies.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
MAY 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?
Dataconomy
MAY 13, 2022
The European Union is disturbed by the lack of comprehensive regulation of artificial intelligence. The EU AI Act is an important step that will determine the future of artificial intelligence in the context of personal data protection. It’s a lawless world for artificial intelligence in today’s society. The European Union.
The Data Administration Newsletter
MAY 4, 2022
You might think the title of this article is somewhat controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].
FlowingData
MAY 25, 2022
The Centers for Disease Control and Prevention track cause of death over time, under several classifications and groupings. Among 1- to 19-year-olds, regulations decreased motor vehicle deaths, but deaths by firearms increased and became the leading mechanism in 2018. Read More.
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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
MAY 22, 2022
Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.
KDnuggets
MAY 30, 2022
A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.
Analytics Vidhya
MAY 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions. Most of the algorithms used in statistical modellings such as Linear regression, Logistic Regression, […].
Dataconomy
MAY 9, 2022
There are so many great applications of Artificial Intelligence in daily life, by using machine learning and other techniques in the background. AI is everywhere in our lives, from reading our emails to receiving driving directions to obtaining music or movie suggestions. Don’t be scared of AI jargon; we’ve created.
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.
The Data Administration Newsletter
MAY 17, 2022
Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital with an outstanding reputation for being trusted at a deep level by many families. They used data to alert people about various medical actions that they recommended. One such alert was that when a person […].
FlowingData
MAY 4, 2022
People like beef. To raise more cattle, companies need more land. Sometimes to get more land, companies turn to unethical methods. Terrence McCoy and Júlia Ledur for The Washington Post : By reviewing thousands of shipment and purchase logs, and analyzing satellite imagery of Amazon cattle ranches, The Post found that JBS has yet to disentangle itself from ties to illegal deforestation.
Smart Data Collective
MAY 13, 2022
Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.
KDnuggets
MAY 27, 2022
Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.
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
MAY 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.
Dataconomy
MAY 6, 2022
Are you searching for the newest Artificial Intelligence Trends? In 2022, artificial intelligence will have progressed far enough to become the most revolutionary technology ever created by man. According to Google CEO Sundar Pichai, its impact on our evolution as a species will be comparable to fire and electricity. The.
The Data Administration Newsletter
MAY 4, 2022
Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].
DataRobot Blog
MAY 3, 2022
If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?
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
MAY 31, 2022
Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?
KDnuggets
MAY 19, 2022
Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.
Analytics Vidhya
MAY 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].
Dataconomy
MAY 4, 2022
Today, we look at the basics of artificial intelligence, which permeates almost every aspect of our lives. This article will explore the main concepts revolving around artificial intelligence and the answers to frequently asked questions without getting into technical complexities as much as possible. What is artificial intelligence? Artificial intelligence.
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.
The Data Administration Newsletter
MAY 31, 2022
Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].
FlowingData
MAY 25, 2022
This chart from The New York Times , based on estimates from Our World In Data and World Bank, shows GDP per capita against gun homicide rates. The United States stands alone. Why. Tags: guns , homicide.
Smart Data Collective
MAY 29, 2022
What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of log content, transactional content, social media data, and customer—related data. . Companies need all of this data in a structured manner to improve their decision—making capabilities.
KDnuggets
MAY 16, 2022
This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.
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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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