KDnuggets
MAY 26, 2022
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.
Analytics Vidhya
MAY 21, 2022
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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Dataconomy
MAY 23, 2022
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.
Smart Data Collective
MAY 22, 2022
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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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
MAY 27, 2022
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.
Analytics Vidhya
MAY 26, 2022
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. […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
MAY 26, 2022
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.
KDnuggets
MAY 27, 2022
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.
Analytics Vidhya
MAY 22, 2022
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 […].
Dataconomy
MAY 26, 2022
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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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
MAY 24, 2022
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.
KDnuggets
MAY 24, 2022
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.
Analytics Vidhya
MAY 22, 2022
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.
Dataconomy
MAY 27, 2022
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.
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.
FlowingData
MAY 25, 2022
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.
KDnuggets
MAY 24, 2022
This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.
Analytics Vidhya
MAY 22, 2022
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 […].
Dataconomy
MAY 24, 2022
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.
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.
Eugene Yan
MAY 21, 2022
Mindset, 100-day plan, and balancing learning and taking action to earn trust.
KDnuggets
MAY 23, 2022
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.
Analytics Vidhya
MAY 24, 2022
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.
Dataconomy
MAY 25, 2022
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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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.
Smart Data Collective
MAY 26, 2022
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.
KDnuggets
MAY 25, 2022
The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.
Analytics Vidhya
MAY 25, 2022
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.
Dataconomy
MAY 23, 2022
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.
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.
Smart Data Collective
MAY 23, 2022
Blockchain is one of the most disruptive technologies of the 21st Century. A growing number of industries are using blockchain to operate more efficiently or boost security. However, blockchain is still most important in the realm of cryptocurrencies. Bitcoin has become very popular since its inception in 2008 and that is largely due to the power of blockchain.
KDnuggets
MAY 25, 2022
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.
Analytics Vidhya
MAY 26, 2022
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 […].
Dataconomy
MAY 23, 2022
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.
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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