Sat.Apr 24, 2021 - Fri.Apr 30, 2021

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Top 8 Hidden Python Packages For Machine Learning in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most loved languages in. The post Top 8 Hidden Python Packages For Machine Learning in 2021 appeared first on Analytics Vidhya.

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How publishers use AI to balance personalized experiences with monetization strategies

Dataconomy

Without a doubt, publishers are well-placed to harness the relationship with their audience – possessing the means to collect and build the strong first-party data sets required to deliver personalized experiences and power various revenue streams. But, as the industry moves further away from cookie-based targeting – and Google speaks.

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The Incredible Impact of Blockchain Technology on the Economy

Smart Data Collective

The crypto market is booming once again. After a 2-year long bear market, prices are skyrocketing far and wide, with Bitcoin leading the charge. In November, Investopedia reported that prices of bitcoin rose 111% and they seem to be increasing even further. Bitcoin has tripled in value since it raced past its previous all-time high of $20.000. This has pushed investors, retail and institutional, into a buying frenzy.

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Search: Query Matching via Lexical, Graph, and Embedding Methods

Eugene Yan

An overview and comparison of the various approaches, with examples from industry search systems.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Estimation of Neurons and Forward Propagation in Neural Net

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the previous article, we looked at what are. The post Estimation of Neurons and Forward Propagation in Neural Net appeared first on Analytics Vidhya.

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Collaboration is key to achieving trust and transparency in the new era of digital identity

Dataconomy

As consumers across the globe become increasingly aware of their digital identity and personal data rights and further regulations take hold, it’s unsurprising that Google has announced it will not be replacing third-party cookies with identifiers and email addresses. Advertisers now need to look for new ways to engage valuable.

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Guide to Digital Transformation: Data-first Architecture

Dataversity

Click to learn more about author John Ottman. The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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Google Earth Engine Machine Learning for Land Cover Classification (with Code)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introducing Earth Engine and Remote Sensing Earth Engine, also referred. The post Google Earth Engine Machine Learning for Land Cover Classification (with Code) appeared first on Analytics Vidhya.

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AI in 3D Bioprinting

Dataconomy

Medical scientists seeking new ways to regenerate complex biological systems from cells have led to the advent of a 21st-century tissue engineering technology called 3D bio-printing. Without question, research on 3D bioprinting is new, disruptive, and expanding too. By taking advantage of AI, 3D bio-printing technology can only get better.

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Preparing for The Most Common Data Science Job Interview Questions

Smart Data Collective

The importance of data in the modern world is hard to overstate. Advancements in AI, machine learning, and platforms such as Google Analytics now mean that masses of data are compiled by businesses on a global scale each day. With big data becoming pivotal in the construction sector and other top industries using data to connect better with customers, information really is crucial to the global economy now.

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Get Better Network Graphs & Save Analysts Time

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.

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The Shift toward Intelligent Automation

DataRobot

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. How to adopt AI and machine learning into business processes is a critical goal to improve process efficiency and scale to handle the increased demand for AI and machine learning for years to come. One topic that is of interest in this space is the term intelligent automation.

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Automating Machine Learning tasks using EvalML Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In today’s AI-driven world, Machine Learning plays a vital role. The post Automating Machine Learning tasks using EvalML Library appeared first on Analytics Vidhya.

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Tableau Online launches Salesforce sign-in capabilities

Tableau

Miranda Osterheld. Senior product manager. Kristin Adderson. April 27, 2021 - 9:49pm. April 27, 2021. Tableau Online Site Admins can now enable user authentication with their Salesforce credentials. With more customers leveraging the power of Tableau and Salesforce together, the ability to use Salesforce credentials means fewer passwords to manage and an easier, quicker time shifting between applications.

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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? In this post, we will run you through the key things you need to know about these fundamental questions about the integrity of your data.

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Understanding User Needs and Satisfying Them

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.

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How to Protect Your Data Against Bad Actors During Pandemics and Beyond

Dataversity

Click to learn more about author Don Boxley. The number-one enterprise pain point, according to new research on those who used a VPN for network access and/or security measures, is inadequate security. This was the finding based on new research, conducted for DH2i prior to the COVID-19 stay-at-home guidance, that explored the Pre-Pandemic State of […].

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Train Machine Learning Models Using CPU Multi Cores

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview introduction reduce execution time dataset reading dataset handling categorical. The post Train Machine Learning Models Using CPU Multi Cores appeared first on Analytics Vidhya.

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? Visualization Tools and Learning Resources, April 2021 Roundup

FlowingData

Welcome to issue #137 of The Process, the newsletter for FlowingData members about charts. I’m Nathan Yau, and every month I collect visualization tools and resources that help you make better use of data. Here’s the good stuff for April 2021. Become a member for access to this — plus tutorials, courses, and guides.

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How AI Is Going to Drastically Change the Future of the Automotive Sector

Smart Data Collective

Artificial intelligence has had a dramatic impact on the efficiencies of daily human tasks as well as complex intellectual tasks that require substantial human intelligence. AI is taking over the automotive industry as well, handling the reins in every department ranging from designing and manufacturing cars to car maintenance, safety, and AI-enabled cockpits.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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The Data Challenges of a Return to Service

Dataversity

Click to learn more about author Kaycee Lai. COVID has been particularly rough on companies that provide in-person entertainment experiences–theme parks, cruise lines, movie theatres, casinos, concert promoters, resorts, etc. With summer approaching, we’re seeing signs that some of these companies may be opening up operations again. Disneyland, for instance, just announced it is reopening […].

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Track Your Fitness With Python: Analyzing Google Fit Data

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Data is everywhere. Nowadays, every device with some logical system. The post Track Your Fitness With Python: Analyzing Google Fit Data appeared first on Analytics Vidhya.

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Introducing the Data Leadership Collaborative

Tableau

Stephanie Richardson. Vice President, Tableau Community. Ateken Abla. April 30, 2021 - 3:19pm. May 3, 2021. We’re thrilled to announce the Data Leadership Collaborative (DLC) , a new community dedicated to bringing like-minded data leaders together to connect, learn, and help each other progress on the journey to building data-driven organizations. The DLC applies the power of community to the challenges many organizations face as they establish their data cultures.

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How to Reduce Sensitive Data Exposure for Your Enterprise

Smart Data Collective

Businesses cannot risk putting data security aside. With hackers and identity thieves using more advanced methods, it’s crucial for any enterprise to adopt new tools in keeping sensitive data from falling into the wrong hands and preventing cases of fraud. In fact, there is no better time than now for you to invest in beefing up your defenses.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Why Marketers Should Understand AI

Dataversity

Click to learn more about author Ingrid Burton. Marketers today have more data available to them than ever before. Applying artificial intelligence (AI) to that data is necessary to driving marketing effectiveness in today’s competitive digital world. When properly harnessed, AI provides insights that help achieve lower customer acquisition costs, greater lifetime spending per customer […].

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Speed Up Text Pre Processing Using TextHero Python Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing, typically abbreviated as NLP, The post Speed Up Text Pre Processing Using TextHero Python Library appeared first on Analytics Vidhya.

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Product Clustering Techniques in Demand Forecasting

DataRobot

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. We can then use these forecasts for inventory and supply chain planning, making overall operations more efficient. For some companies, a common issue in demand forecasting is the abundance of product lines, or stock keeping units (SKUs).

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Big Data Is Rapidly Changing How We Look at Economics

Smart Data Collective

Big data has evolved from a technology buzzword into a real-world solution that helps companies and governments analyze data, extract the meaningful statistics, and apply it into their specific business needs. It’s not so much the realization that this information is collected, but what can be effectively done with it. There is a use for big data in pretty much everything we do, with the economic forecasts proving to be no different.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Introducing the Data Leadership Collaborative

Tableau

Stephanie Richardson. Vice President, Tableau Community. Ateken Abla. April 30, 2021 - 3:19pm. May 3, 2021. We’re thrilled to announce the Data Leadership Collaborative (DLC) , a new community dedicated to bringing like-minded data leaders together to connect, learn, and help each other progress on the journey to building data-driven organizations. The DLC applies the power of community to the challenges many organizations face as they establish their data cultures.

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Mixed-effect Regression for Hierarchical Modeling (Part 1)

Analytics Vidhya

ArticleVideo Book Hierarchical Modelling Hierarchical modeling also referred to as a nested model, deals with data with the observations in a certain group. There. The post Mixed-effect Regression for Hierarchical Modeling (Part 1) appeared first on Analytics Vidhya.

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Interactive Exploration and Analysis of Scientific Datasets

Dataversity

Click to learn more about author Martyna Pawletta. The availability of scientific datasets in Google BigQuery opens new possibilities for the exploration and analysis of public life sciences data. The Google Cloud Platform (GCP) provides a place where SQL queries can be easily and intuitively created in order to explore huge datasets extremely fast.

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What Your Startup Could Gain from Cloud-Based HR Software

Smart Data Collective

Cloud technology is making it a lot easier for businesses to gain an edge over the competition. The adaption of cloud technology is greater than the average person would ever expect. You may be surprised to know that 96% of companies currently are using at least one cloud service. Many newer companies are more reluctant to utilize cloud technology, because they are either less technologically competent or think that they don’t have the resources.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.