KDnuggets
OCTOBER 14, 2022
Leveraging sparse matrix representations for your data when appropriate can spare you memory storage. Have a look at the reasons why, see how to create sparse matrices in with Python, and compare the memory requirements for standard and sparse representations of the same data.
Analytics Vidhya
OCTOBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction A Merkle tree is a basic component of blockchain technology. It is a mathematical data structure composed of hashes of different data blocks that serve as a summary of all transactions in the block. It also enables efficient and secure verification of […]. The post A Quick Guide to Blockchain: Merkle Tree appeared first on Analytics Vidhya.
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Dataconomy
OCTOBER 11, 2022
Cyber terrorism actors use the internet to carry out violent activities that cause or threaten serious physical harm or the loss of life to advance political or ideological goals through intimidation or threat. Internet terrorism can take the form of planned, widespread disruption of computer networks, particularly personal computers connected.
Smart Data Collective
OCTOBER 8, 2022
Cloud technology is changing some of the most core aspects of our lives. A growing number of students are finding ways to leverage the cloud to improve their learning experience. Education Technology Magazine has published an article on some of the most surprising ways that cloud technology is changing academia. Most of their focus was on their focus has been on the benefits of using cloud technology from the standpoint of educators.
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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
OCTOBER 11, 2022
A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Concurrency in DBMS refers to the ability of the system to support multiple transactions concurrently without any data loss or corruption. In a concurrent system, numerous transactions can access and modify the data simultaneously. Each transaction is isolated from other transactions, so […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
OCTOBER 13, 2022
Introduction to Data Science , by Harvard biostatistics professor Rafael A. Irizarry, is an open source book that provides, as you might have guessed, an introduction to data science: The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges.
KDnuggets
OCTOBER 12, 2022
Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction We, as data science and machine learning enthusiasts, have learned about various algorithms like Logistic Regression, Linear Regression, Decision Trees, Naive Bayes, etc. But at the same time, are we preparing for the interviews? As we know, the end goal is to […].
Dataconomy
OCTOBER 12, 2022
In a recent article, DeepMind Sparrow, a realistic dialogue agent that decreases the possibility of damaging and inappropriate responses, has been unveiled. Reinforcement learning may be used to test novel tactics for training conversation bots that show promise for a safer system based on feedback from research participants. DeepMind Sparrow’s.
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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
OCTOBER 12, 2022
There is no denying the fact that cloud technology has created major changes in the economy, which explains why the market is growing 17.9% a year. A growing number of businesses are using cloud technology to improve productivity and meet their long-term goals. We have talked about a variety of ways that businesses can use the cloud to improve their operations.
KDnuggets
OCTOBER 10, 2022
The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Most recent speech recognition models often rely on large supervised datasets, which are unavailable for many low-resource languages; this poses a challenge in creating a speech recognition model inclusive of all languages. To address this, researchers from Carnegie Mellon University have […].
Dataconomy
OCTOBER 10, 2022
One of the most popular applications of machine learning is anomaly detection. Outliers can be found and identified to help stop fraud, adversary assaults, and network intrusions that could jeopardize the future of your business. This article will discuss how anomaly detection functions, the machine learning techniques that can be.
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
OCTOBER 14, 2022
Data security has become a paramount concern for most businesses. In the second quarter of 2022, there were over 52 million data breaches. As a result, companies are doing more to safeguard their data than ever before. They are looking for new data security measures , such as investing in VPNs. The greatest method for protecting data in transit is a VPN.
KDnuggets
OCTOBER 13, 2022
In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" Enter the word vector.
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. It will detect whether a person is wearing a face mask or not. We will learn everything from scratch, and I will explain every […]. The post Detecting If a Person is Wearing a Mask or Not Using CNN appeared first on Analytics Vidhya.
Dataconomy
OCTOBER 14, 2022
Today we are going to discuss all aspects of multi cloud data management. The majority of businesses have huge, challenging-to-manage data footprints. Disconnected data sources, uneven or nonexistent labeling and metadata standards, and local control over data access restrictions all contribute to management issues. When businesses move their data to.
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.
Smart Data Collective
OCTOBER 13, 2022
AI is a game-changing technology that has drastically changed how companies do business. Recent advances have enabled companies to use AI in ways they never have before. It’s not just about improving existing products; it’s also about discovering new possibilities they didn’t know existed. AI helps companies find ways to improve their product development processes.
KDnuggets
OCTOBER 11, 2022
This article serves as a beginner’s guide to web scraping using Python and looks at the different frameworks and methods you can use, outlined in simple terms.
Analytics Vidhya
OCTOBER 14, 2022
Introduction One of the most crucial and in-demand talents in 2022 is Data Science. To accommodate this need, more and more businesses are starting to offer boot camps while universities are creating new courses. However, tons of resources are available over the internet for free, and deciding where to go to find the best resources […]. The post Top Ten YouTube Channels On Data Science appeared first on Analytics Vidhya.
Dataconomy
OCTOBER 11, 2022
The National Institutes of Health is funding a big research project to collect voice data and develop artificial intelligence capable of diagnosing patients based on their speech. Scientists may even be able to detect unhappiness or disease from a person’s speech. The program is a collaboration between USF, Cornell, and.
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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
OCTOBER 14, 2022
MLU-Explain continues with their visual explainers for machine learning and statistical concepts. Most recently, Jared Wilber gets into linear regression. Towards the bottom of the explainer, there’s an interactive chart that lets you place dots on the plot and the fitted line updates as you go. Nice. Tags: MLU-Explain , regression.
KDnuggets
OCTOBER 14, 2022
Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction A key aspect of big data is data frames. Pandas and Spark are two of the most popular types. However, Spark is more suited to handling scaled distributed data, whereas Pandas is not. In contrast, Pandas’ APIs and syntax are easier to use. What […]. The post Everything You Must Know About Koalas!
Dataconomy
OCTOBER 12, 2022
NightCafe AI image generator is the new hype in AI art. In summary, NightCafe Creator works by converting a written prompt into an image using a machine-learning technique. The resulting image is then optimized by the same framework until it meets specific criteria and produces an image that may be used.
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
OCTOBER 12, 2022
There was a government-run lottery in the Philippines with a $4 million jackpot, and two improbable things happened. First, the numbers selected were all multiples of nine: 9, 45, 36, 27, 18, and 54. Second, 433 people won. The natural reaction from the public was that something sketchy happened, especially since the government has a history of sketchiness.
KDnuggets
OCTOBER 11, 2022
The post explains three popular frameworks, PySpark, Dask, and Ray, and discusses various factors to select the most appropriate one for your project.
Analytics Vidhya
OCTOBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction The distribution of computer services through the internet is known as cloud computing. Businesses can adopt the cloud computing paradigm, where they can rent IT equipment and services instead of purchasing and operating their data centers. These services cover everything from basic infrastructures […].
Dataconomy
OCTOBER 10, 2022
What is Facebook data breach 2022? The social media platform revealed that it had discovered over 400 fraudulent Android and iOS apps targeting internet users to steal their login information this year. According to Meta, one million people may have had their login information taken. What should you do? How.
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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