KDnuggets
JUNE 28, 2022
Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].
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Dataconomy
JUNE 23, 2022
Researchers at Cornell University have developed a technique to assist self-driving cars in recalling past events and utilize them as references while navigating, especially in bad weather when the vehicle’s sensors cannot be trusted. On cars, normally, artificial neural networks are not concerned with memory from the past, and they.
FlowingData
JUNE 15, 2022
Hands-On Data Visualization , by Jack Dougherty and Ilya Ilyankou, is an open-access book geared for beginners. The book starts with spreadsheets, and then walks you through some of the more high-level JavaScript libraries to put things online relatively quickly. If you don’t have programming experience but want to kick the tires, it’s probably worth saving this for later.
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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?
Smart Data Collective
JUNE 1, 2022
Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.
DataRobot Blog
JUNE 1, 2022
Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.
Dataconomy
JUNE 22, 2022
Let’s delve into the machine learning benefits and drawbacks. Many job titles are included in machine learning, including business managers, data scientists, and DevOps engineers. A good grasp of the machine learning lifecycle will assist you in correctly allocating resources and determining where you stand in it. Don’t worry; machine learning benefits will.
FlowingData
JUNE 6, 2022
Eli Holder shows how he split his freelance time across various projects and categories. With visualization work, a lot of your time is spent doing non-visualization things: As expected, at 16 percent, data wrangling and analysis takes a significant chunk of total time. This includes data prep, which I’ve categorized as fairly mindless data engineering or spreadsheet maneuvering (nine percent) or data pulls (three percent).
Smart Data Collective
JUNE 29, 2022
Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. Keep reading to learn more about the benefits. Data-Driven Companies are Discovering the Benefits of Investing in Email Marketing.
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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.
Tableau
JUNE 11, 2022
Ashley Howard Neville. Senior Evangelist, Tableau. Kristin Adderson. June 11, 2022 - 7:40pm. June 11, 2022. Editor's note: This article originally appeared in Forbes , by Ashley Howard Neville, Tableau . According to a recently released Forrester Consulting study commissioned by Tableau about data literacy and culture in global enterprises, organizations that have a companywide mandate to their data literacy training have higher employee satisfaction levels with training offerings than those tha
KDnuggets
JUNE 17, 2022
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.
Analytics Vidhya
JUNE 3, 2022
Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?
Dataconomy
JUNE 21, 2022
Quantum artificial intelligence is here to pave the way for the next chapter of our digital intellect pursuit. Artificial intelligence is a transformative technology, and it needs quantum computing to achieve significant improvement. Although artificial intelligence may be used with conventional computers, it is restricted by conventional computational capabilities.
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.
FlowingData
JUNE 15, 2022
The Marshall Project and Axios report that the FBI changed their reporting system last year, and 40 percent of law enforcement agencies didn’t submit any data : In 2021, the FBI retired its nearly century-old national crime data collection program, the Summary Reporting System used by the Uniform Crime Reporting (UCR) program. The agency switched to a new system, the National Incident-Based Reporting System (NIBRS), which gathers more specific information on each incident.
Smart Data Collective
JUNE 19, 2022
Artificial intelligence is driving a lot of changes in modern business. Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. Since AI has proven to be so valuable, an estimated 37% of companies report using it. The actual number could be higher, since some companies don’t realize the different forms of AI they might be using.
Dataversity
JUNE 29, 2022
The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. That requires the […]. The post Data Observability and Its Impact on the Data Operations Lifecycle appeared first on DATAVERSITY.
KDnuggets
JUNE 6, 2022
Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.
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
JUNE 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy. Considering network security and privacy, the hybrid working model brings new doubts to mind. In the last two years, […].
Dataconomy
JUNE 22, 2022
The demand for blockchain in HR is increasing, and we are here to explain why. Blockchain technology is quickly becoming a staple in many industries, including HR. Here are some of the advantages of using blockchain in HR, as well as examples of startups that are already using it. Blockchain.
FlowingData
JUNE 10, 2022
James Eagle used an animated donut chart to show browser share from 1996 to present. I have fond memories of firing up Netscape to punch in a web address I saw in a magazine. It felt like I was opening something top secret. I didn’t realize Internet Explorer took over so quickly. I was born before the world wide web. We can't imagine living without it.
Smart Data Collective
JUNE 17, 2022
Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.
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.
Dataversity
JUNE 17, 2022
Futuristic films, such as the new “Doctor Strange in the Multiverse of Madness,” are a fun look into what the future might hold. But outside the cinema, we’re seeing shifts in what’s possible?right now. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […].
KDnuggets
JUNE 15, 2022
An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.
Dataconomy
JUNE 9, 2022
Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain. DL is a critical technology that makes intuitive autonomous systems a reality and generally aims.
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.
FlowingData
JUNE 23, 2022
Welcome to issue #194 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m trading optimized visual efficiency for joy and interest. Become a member for access to this — plus tutorials, courses, and guides.
Smart Data Collective
JUNE 24, 2022
Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year. There are a lot of different ways that companies can use data analytics to improve their marketing strategies. One of the most effective approaches involves taking advantage of QR codes.
The Data Administration Newsletter
JUNE 15, 2022
Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster. Data, as always, is top of mind. With so many trends and tools available, it can be hard to see […].
KDnuggets
JUNE 13, 2022
Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.
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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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