Analytics Vidhya
JULY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].
KDnuggets
JULY 26, 2022
The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.
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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.
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….
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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?
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.
KDnuggets
JULY 25, 2022
Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
JULY 27, 2022
In today’s world, data is increasingly being shared and stored electronically. Therefore, the need to protect data from unauthorized access or theft is more important than ever. The of data breaches cannot be overstated. Over 440 million data records were exposed in data breaches in 2018 alone. This figure is growing as more people work from home and don’t take adequate precautions.
Analytics Vidhya
JULY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.
KDnuggets
JULY 27, 2022
Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.
FlowingData
JULY 28, 2022
Welcome to issue #198 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and every month I collect useful tools and resources to help you visualize data better. Here’s the good stuff for July. Become a member for access to this — plus tutorials, courses, and guides.
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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 25, 2022
Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.
Analytics Vidhya
JULY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.
KDnuggets
JULY 27, 2022
If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.
Dataversity
JULY 26, 2022
Week after week, month after month, shareholder cyber lawsuits hit the news. Capital One settles for $190 million. A class-action lawsuit was filed against Ultimate Kronos Group for alleged negligence regarding a ransomware attack, identifying a poor cybersecurity system as the root problem. These two news items in recent months underscore the risks companies face in their ongoing war […].
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
JULY 27, 2022
Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.
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.
KDnuggets
JULY 26, 2022
This article will focus on a step-by-step data drift study using Eurybia an open-source python library.
Dataversity
JULY 25, 2022
According to IBM, the average cost of a breach was $1.76 million less at organizations with a mature zero trust approach than those without. It’s understandable why this verify-first, trust-later mentality has gained steam over the last few years. And the reality is, that organizations don’t have much of a choice. The world saw an alarming […].
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.
FlowingData
JULY 27, 2022
In 2012 , Thomas Davenport and DJ Patil outlined a budding career choice called “data science” where people, with a combination of programming and statistics, made sense of “big” datasets. For Harvard Business Review, Davenport and Patil revisit the career ten years later : A decade later, the job is more in demand than ever with employers and recruiters.
Analytics Vidhya
JULY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction SQL?—?A structured query language is a must-know tool for everyone working with datasets. As its name suggests, it is primarily used to query, i.e., fetch the data from the relational database where data is stored in the form of tables. SQL helps […]. The post SQL Commands for Data Science appeared first on Analytics Vidhya.
KDnuggets
JULY 25, 2022
Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.
DataRobot Blog
JULY 28, 2022
Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creati
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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.
FlowingData
JULY 25, 2022
For Scientific American, RJ Andrews looks back at the visualization work of Florence Nightingale : Recognizing that few people actually read statistical tables, Nightingale and her team designed graphics to attract attention and engage readers in ways that other media could not. Their diagram designs evolved over two batches of publications, giving them opportunities to react to the efforts of other parties also jockeying for influence.
Analytics Vidhya
JULY 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].
KDnuggets
JULY 25, 2022
Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.
DeepMind
JULY 27, 2022
Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.
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.
FlowingData
JULY 29, 2022
With tonight’s Mega Millions jackpot estimated at $1.28 billion, you might be wondering what the odds of winning are, even if you know the chances are super slim for an individual. (On the other hand, the more tickets purchased overall, the greater the chances that someone in the country wins.) For The Washington Post, Bonnie Berkowitz and Shelly Tan made a playful quiz to test your perception of 1 in 302.6 million.
Analytics Vidhya
JULY 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].
KDnuggets
JULY 28, 2022
Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.
DeepMind
JULY 27, 2022
Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.
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.
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