Sat.May 21, 2022 - Fri.May 27, 2022

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The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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A Guide to Gathering Requirements as Business Analyst

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. As a business analyst, we strive to deliver the projects as per the client expectations and take necessary steps to ensure that the user experience turns out be great at the end of project cycle. No matter what kind of project you have […]. The post A Guide to Gathering Requirements as Business Analyst appeared first on Analytics Vidhya.

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Detecting deepfakes: A new method using self-blended images is developed

Dataconomy

Deepfakes are mixtures of real and fraudulent material forged to appear genuine. When used by malicious people, their effects can be harmful. Thus, detecting deepfakes is crucial, and researchers continuously look for new methods. The most recent techniques are frequently based on networks established using pairs of original and synthetic.

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Deaths by Firearm, Compared Against Injury-Related Deaths

FlowingData

The Centers for Disease Control and Prevention track cause of death over time, under several classifications and groupings. Among 1- to 19-year-olds, regulations decreased motor vehicle deaths, but deaths by firearms increased and became the leading mechanism in 2018. Read More.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

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15 Most Common Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – pinterest.com Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. […].

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How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

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Predicting Cryptocurrency Prices Using Regression Models

KDnuggets

In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

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Loan Prediction Problem From Scratch to End

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning. The Objective of the Article This article is designed for people who […]. The post Loan Prediction Problem From Scratch to End appeared first on Analytics Vidhya.

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How to choose a cyber security monitoring tool in 2022?

Dataconomy

Today we explore the best cyber security monitoring tools in 2022 and why they are important. Finding good cyber security software for business sometimes can be tricky. The term “cyber security threat monitoring” refers to the process of detecting cyber threats and data breaches. IT infrastructure monitoring is an important.

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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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How Smart Cities Can Leverage Data Technology to Improve Air Quality

Smart Data Collective

Big data has led to some very important changes in our lives. However, few people realize that data technology is helping solve environmental issues. One of the most stunning facts revealed by the new coronavirus pandemic (COVID-19) has been our acceptance of polluted air. Skies in the world’s largest cities turned a color that astonished many residents when personal vehicle miles plummeted dramatically.

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Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

KDnuggets

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

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Organised Preprocessing for Pandas Dataframe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning. We underestimate preprocessing but in reality, choosing the right preprocessing for our data is equally important as choosing the right model, if not more. Most of the time we go with some […].

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13 marketing automation tools that can help you boost your sales

Dataconomy

The way we live our lives has an impact on our work. Long lists of typical chores may turn your staff into marketing automatons, reducing their creativity and performance. Fortunately, there are some tools to help. Digital marketing’s first step is to automate and personalize your communications. Multi-channel marketing is.

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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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The Importance of Implementing a Sensible Data Collection Strategy

Smart Data Collective

Data has become one of the most valuable assets to modern organizations. Some companies are still in denial of its importance, but their hesitance to embrace it is subsiding. One poll found that 36% of companies rate big data as “crucial” to their success. However, many companies still struggle to formulate lasting data strategies. One of the biggest problems is that they don’t have reliable data collection approaches.

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3 Reasons Why Teamwork is an Essential Skill in Data Science

KDnuggets

This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

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Building a 3D-CNN in TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].

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A new era of gaming is upon us: Blockchain games

Dataconomy

According to the experts, blockchain gaming will be the first genuine use case for blockchain, revolutionizing the sector and making games more immersive. Game platforms have integrated blockchain technology, allowing gamers to collect and trade digital assets that generate a reliable income for game developers while also offering value to.

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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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U.S. still the outlier for gun homicide rate

FlowingData

This chart from The New York Times , based on estimates from Our World In Data and World Bank, shows GDP per capita against gun homicide rates. The United States stands alone. Why. Tags: guns , homicide.

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Understanding Agent Environment in AI

KDnuggets

The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.

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Scraping Jobs on LinkedIn Using Scrapy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recently I have been working on a personal project in which I want to extract the skills from the resume and match those skills with the job description to figure out how much a candidate is a good fit for a specific […]. The post Scraping Jobs on LinkedIn Using Scrapy appeared first on Analytics Vidhya.

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Preventing cloud data warehouse failure through proper integration

Dataconomy

Preventing cloud data warehouse failure is possible through proper integration. Utilizing your data is key to success. That message is echoed by every business and technology pundit working today, every C-level executive, every Board member – and even every article like this one. The importance of using data to make.

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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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Generative sea creatures

FlowingData

Cindermedusae by Marcin Ignac is “a generative encyclopedia of imaginary sea creatures.” I’m into the aesthetic. Tags: animals , generative art , Marcin Ignac.

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Top Jobs and Salaries in Data Science in 2022

KDnuggets

If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.

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Amazon Price Tracking System Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Link Introduction In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon. We tend to buy the product only if it goes below a specific threshold price, to keep it […]. The post Amazon Price Tracking System Using Python appeared first on Analytics Vidhya.

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More than games and movies: Cyberpunk movement

Dataconomy

The term cyberpunk may be confusing for those unfamiliar with sci-fi, so we will explain cyberpunk definition and what this cultural phenomenon consists of in our article. Blade Runner and Neuromancer represented a cinematic and literary confluence that generated the filmological and written birth of the movement. Visually, all cyberpunk.

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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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4 Elements of Success for Companies that Develop Big Data Applications

Smart Data Collective

Big data technology is changing our lives in countless ways. Due to the many benefits that data provides, more companies are investing in it. Global companies are expected to spend over $234 billion by 2026. This is a great opportunity for companies that develop big data applications for customers and businesses alike. If you are interested in creating a successful big data application , then you could have a very profitable business model on your hands.

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Descriptive Statistics Key Terms, Explained

KDnuggets

This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

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Prompt Engineering in GPT-3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What are Large Language Models(LLM)? Most of you definitely faced this question in your data science journey. Large Language Models are often tens of terabytes in size and are trained on massive volumes of text data, occasionally reaching petabytes. They’re also among the models with the most […].

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Researchers found a new ML method capable of counting cells for disease diagnosis

Dataconomy

Although machine learning (ML) has helped make blood cell counts more accurate and less costly, it has nevertheless been time-consuming because of the need for a lot of manual annotation by humans to train the model. Researchers at Benihang University, on the other hand, have developed a new training method.

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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.