Sat.Apr 23, 2022 - Fri.Apr 29, 2022

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Face detection using the Caffe model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.

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Data Scientist, Data Engineer & Other Data Careers, Explained

KDnuggets

In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

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AI in gaming: A complete guide

Dataconomy

Do you love artificial intelligence games? Artificial intelligence (AI) has played an increasingly important and productive role in the gaming industry since IBM’s computer program, Deep Blue, defeated Garry Kasparov in a 1997 chess match. AI is used to enhance game assets, behaviors, and settings in various ways. Artificial intelligence.

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What Artificial Intelligence can Help Businesses Manage Their Online Profiles

Smart Data Collective

A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Customers tend to Google an organization prior to engaging with their services.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Introduction to SQL for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.

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15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

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How To Improve Incident Response Time for Data Breaches

Smart Data Collective

It is no secret that cyberattacks are escalating in frequency and severity each year. They have led to a growing number of data breaches, which are creating major concerns for people all over the world. IBM reports that the average data breach cost over $4.2 million in 2021 , which is a figure that grows every year. Malicious actors are becoming increasingly crafty at intercepting communication and penetrating organizations to steal valuable data.

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Spark Data Streaming with MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We have already covered the basics of Pyspark in the last article […]. The post Spark Data Streaming with MongoDB appeared first on Analytics Vidhya.

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How Metadata Improves Security, Quality, and Transparency

KDnuggets

Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.

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Hot and on the rise: Cloud computing jobs explained

Dataconomy

What are cloud computing jobs? Professionals with cloud computing expertise will be in great demand as more companies worldwide undertake significant digital changes. In 2018, professionals in this field earned a median of more than $146,000 — far above the median salary of $124,300 observed just two years previously. There.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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7 Misconceptions About Data Science

Smart Data Collective

Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it. This is why the demand for data scientists is growing so rapidly.

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Docker Tutorial for Beginners Part-I

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker, Pulling images from the hub to running Linux machines in docker. Let’s first understand the challenges we face […]. The post Docker Tutorial for Beginners Part-I appeared first on Analytics Vidhya.

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Top 5 Free Cloud Notebooks in 2022

KDnuggets

Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.

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How does AI overcome the fundamental issues with traditional cybersecurity approaches?

Dataconomy

Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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? Visualization Tools and Learning Resources, April 2022 Roundup

FlowingData

Welcome to issue #187 of [The Process]([link] the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and every month I collect tools and resources that help to visualize data better. Here’s the good stuff for April. Become a member for access to this — plus tutorials, courses, and guides.

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Exploring Octoparse Web Scraping tool for Data Preparations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article let’s discuss one among the very popular and handy web-scraping tools Octoparse and its key features and how to use it for our data-driven solutions. Hope you all are familiar with “WEB SCRAPING” techniques and the captured data has […]. The post Exploring Octoparse Web Scraping tool for Data Preparations appeared first on Analytics Vidhya.

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Best Data Science Career Tracks of 2022

KDnuggets

Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.

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AI dictionary: Be a native speaker of Artificial Intelligence

Dataconomy

The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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How much rent increased where you live

FlowingData

Rent increased pretty much everywhere in the United States over the past year. Abha Bhattarai, Chris Alcantara and Andrew Van Dam for The Washington Post use a map to show you by how much : Nationally, rents rose a record 11.3 percent last year, according to real estate research firm CoStar Group. That fast pace of growth remained elevated in the first months of 2022, as many parts of the country continued to notch double-digit jumps in rent prices.

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Guide to Audio Classification Using Deep learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature. These can be used […]. The post Guide to Audio Classification Using Deep learning appeared first on Analytics Vidhya.

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Top Data Science Projects to Build Your Skills

KDnuggets

Check out this list of data science project ideas that you can use to boost your skills, organized by level of expertise.

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AI simulates economies and predicts which startups will get investment

Dataconomy

Deep science related efforts are enabling new initiatives, this new AI simulates economies and predicts which kind of startups receive funding. The breadth of research in the field of machine learning and AI, which is now a crucial technology in almost every sector and company, is simply too big for.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Benefits of Using Big Data to Assist with Digital Adoption

Smart Data Collective

Digital transformation has been a goal for many organizations in recent years, and the shift to remote and hybrid working arrangements has only made this desire to future-proof their business more immediate. However, this transition isn’t easy and wouldn’t be possible without major advances in big data technology. Digital adoption has been defined as the reinvention of a company through the optimization of legacy systems and utilization of new technologies.

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From Blob Storage to SQL Database Using Azure Data Factory

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation. In this article, I’ll show […].

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Data Management: How to Stay on Top of Your Customer’s Mind?

KDnuggets

Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.

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Best books about blockchain you can read in 2022

Dataconomy

Whether you’re ready, cryptocurrency and blockchain technology has an increasing impact on financial markets, and they’ve certainly piqued investors’ interest. Those who want to get their feet wet in cryptocurrency investing or have considered it but don’t know where to start may benefit from reading a few interesting books about.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Fracture and flow of Oreo cookies

FlowingData

Crystal Owens, Max Fan, John Hart, and Gareth McKinley from Massachusetts Institute of Technology published their research on how the cream in an Oreo behaves when you split the sandwich , in Physics of Fluids : Using a laboratory rheometer, we measure failure mechanics of the eponymous Oreo’s “creme” and probe the influence of rotation rate, amount of creme, and flavor on the stress–strain curve and postmortem creme distribution.

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AWS Redshift: Cloud Data Warehouse Service

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The datasets range in size from a few 100 megabytes to a petabyte. […].

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KDnuggets Top Posts for March 2022: Why Are So Many Data Scientists Quitting Their Jobs?

KDnuggets

Also: 8 Free MIT Courses to Learn Data Science Online; Build a Machine Learning Web App in 5 Minutes; Best Data Science Books for Beginners; Linear vs Logistic Regression; and more!

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The UOAIS method enables AI to detect occluded objects

Dataconomy

Researchers developed a new model in order to enable AI to detect occluded objects. These systems must make assumptions based only on the parts of things that are visible in situations where objects are not entirely visible. This partial information causes detection mistakes, and large training data is required to.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.