Analytics Vidhya
AUGUST 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva. Recently, experimenters have developed a very sophisticated natural language […].
O'Reilly on Data
AUGUST 9, 2022
In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.
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David Menninger's Analyst Perspectives
AUGUST 11, 2022
The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view.
KDnuggets
AUGUST 12, 2022
Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
AUGUST 6, 2022
Introduction Image processing is a widely used concept to exploit the information from the images. Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. So, in these edge-cutting techniques, it is necessary to reduce the amount of information that the […]. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 9, 2022
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
AUGUST 12, 2022
Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.
Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. Wait! But, how do we deal with such a massive amount of data? Not to worry; the Pandas library […]. The post The Ultimate Guide To Pandas For Data Science!
CIO Business Intelligence
AUGUST 9, 2022
In business, data science and artificial intelligence are usually geared towards powerful efficiencies and growth. User trust is often overlooked. This can quickly morph into a major problem, particularly when AI is introduced to support strategic choices. Data science and AI teams focus constantly on methodology and accuracy. This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation.
Smart Data Collective
AUGUST 11, 2022
Data analytics technology has become very important for helping companies manage their financial strategies. Companies are projected to spend nearly $12 billion on financial analytics services by 2028. There are many great benefits of using data analytics to improve financial management strategies. Many investors are using data analytics to invest in stocks.
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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?
KDnuggets
AUGUST 8, 2022
Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.
Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Logos, also known as trademarks, are critical to a firm. Each firm has its unique logo that contributes to the company’s public perception. From the toothpaste we use to the slippers we wear, logos surround us in our day-to-day life. “It’s a […]. The post LOGOS: A Brand Independent logo detection model appeared first on Analytics Vidhya.
Juice Analytics
AUGUST 8, 2022
I’m a Wordle obsessive. Which is to say, every morning I find myself staring deep into my coffee in search of an elusive 5-letter word. The New York Times (who bought the word game from software developer Josh Wardle for $3 million) knows their audience. We may be playing with words, but the analytical nature of this game is the appeal. It is a game of odds and mathematical deduction as we try to reduce the potential options available.
Smart Data Collective
AUGUST 11, 2022
When data security within apps is discussed, most people think of WAF. However, a web application firewall is limited. A trusted security tool focuses on the traffic going in and out without considering what happens to sensitive information circulating inside the application. In cybersecurity, this creates a major blind spot that could result in a data breach.
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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.
KDnuggets
AUGUST 8, 2022
Most In-demand Artificial Intelligence Skills To Learn In 2022 • The 5 Hardest Things to Do in SQL • 10 Most Used Tableau Functions • Decision Trees vs Random Forests, Explained • Decision Tree Algorithm, Explained.
Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction You can access your Azure Data Lake Storage Gen1 directly with the RapidMiner Studio. This is the feature offered by the Azure Data Lake Storage connector. It supports both reading and writing operations. You can also read from a set of files […]. The post Connecting and Reading Data From Azure Data Lake appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 11, 2022
The true long-term effects of the COVID-19 pandemic on consumer shopping habits won’t truly be understood for years, but its effect on digital transformation is immediately evident. What we know for certain is that consumers and business buyers expect lightning-fast digital experiences, available on any content device, and the experience has to mirror the ease of doing business that leading brands, like Netflix and Target, delivered during the lockdown.
Smart Data Collective
AUGUST 9, 2022
The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Fortunately, new technology can help enhance cybersecurity. Big data technology is becoming more important in the field of cybersecurity. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.
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.
KDnuggets
AUGUST 11, 2022
“AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.
Analytics Vidhya
AUGUST 7, 2022
Introduction Blockchain ecosystem has enabled us with a new way of perceiving, storing, and sharing data based on the concept of peer-to-peer technologies. Blockchain gained popularity in the last decade for developing cryptocurrency exchanges, maintaining a foolproof medical history of patients, and immutable education records. To get future-ready and develop an understanding of blockchain, it […].
Jet Global
AUGUST 11, 2022
Dundas BI platform will be integrated with insightsoftware’s Logi solutions, strengthening self-service data analytics and visualization. RALEIGH, N.C. – August 11, 2022 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Dundas Data Visualization, Inc. , a Toronto-based business intelligence (BI), analytics, and data visualization platform.
Smart Data Collective
AUGUST 9, 2022
We previously mentioned that AI has helped make bitcoin mining more popular in the UK. However, developing economies also benefit from AI as they invest more in cryptocurrencies. Djibouti is a country in Africa that is starting to become more dependent on artificial intelligence technology. A 2018 report by UNESCO shows that AI technology is transforming the continent and Djibouti is among the countries benefiting.
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.
KDnuggets
AUGUST 11, 2022
Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model's performance, minimizes loss, and produces better outputs.
Analytics Vidhya
AUGUST 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction [link] Apache Airflow platform for automating workflows’ creation, scheduling, and mirroring. Not only is it free and open source, but it also helps create and organize complex data channels. A data channel platform […]. The post Apache Airflow Essential Guide appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 11, 2022
Heading down the path of systems thinking for the hybrid cloud is the equivalent of taking the road less traveled in the storage industry. It is much more common to hear vendor noise about direct cloud integration features, such as a mechanism to move data on a storage array to public cloud services or run separate instances of the core vendor software inside public cloud environments.
Smart Data Collective
AUGUST 8, 2022
Slightly more than a decade ago, artificial intelligence (AI) was famously used in the manufacturing industry through robots. You could use these robots in warehouses to ease product handling. However, AI and related machine learning have extended to the online space. If you’ve been monitoring your eCommerce shop using human agents, you’ll likely get overwhelmed if your shop grows exponentially.
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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.
KDnuggets
AUGUST 10, 2022
Free AI for Beginners Course • Most In-demand Artificial Intelligence Skills To Learn In 2022 • Getting Started with SQL Cheatsheet • 3 Free Statistics Courses for Data Science • The Complete Collection of Data Science Projects – Part 1.
Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction QlikView is a popular enterprise discovery platform that enables all users in an organization to perform self-service BI. With QlikView, you can analyze and visualize data and their relationships and use these analyzes to make decisions. It Supports various data sources, including […].
CIO Business Intelligence
AUGUST 8, 2022
The last thing consumers need when they’re hundreds or thousands of miles away from home is to be the victim of payment fraud. With a travel resurgence already well under way, it’s essential for industry organizations to ensure they are offering consumers payment options that are not just convenient, but that also reduce risk and instill confidence with every transaction.
Smart Data Collective
AUGUST 7, 2022
We have talked at length about the benefits of analytics in the financial sector. Global companies are projected to spend nearly $5.9 billion on financial analytics technology this year. Most of the discussions about the role of data analytics in finance have centered around traditional financial businesses, such as insurance, mutual funds, money management and other financial institutions.
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.
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