Analytics Vidhya
OCTOBER 22, 2020
Overview Data science beginners tend to ask some common questions about their career and learning path Here are 10 such questions with comprehensive answers. The post 10 Questions Every Data Science Beginner Asks (with Answers and Resources) appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 21, 2020
Countless companies recognize the growing importance of big data. However, many of them lack the insights needed to acquire and utilize data effectively. There are so many possible sources of data, but they don’t tap them to their full advantage. One of the most overlooked sources of data is from inbound calls. Companies are finding new ways to leverage call data to their full advantage.
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Eugene Yan
OCTOBER 17, 2020
Not 'How to build a data science portfolio', but 'Whys' and 'Whats'.
DataCentric podcast
OCTOBER 22, 2020
Containers have been embraced by IT organizations across the board. No longer strictly limited to dev ops and non-production environments, we're starting to see production enterprise applications being deployed into Kubernetes-managed containers. These deployments quickly expose the limitations of the technology. Joining hosts Matt Kimball & Steve McDowell (both analysts at Moor Insights & Strategy) is Diamanti's vice present of product, Brian Walden.
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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?
Analytics Vidhya
OCTOBER 17, 2020
Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not an exhaustive. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 20, 2020
Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors. Big data should be leveraged to execute any GTM campaign.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DeepMind
OCTOBER 18, 2020
In an article recently published in Physical Review Research, we show how deep learning can help solve the fundamental equations of quantum mechanics for real-world systems. Not only is this an important fundamental scientific question, but it also could lead to practical uses in the future, allowing researchers to prototype new materials and chemical syntheses in silico before trying to make them in the lab.
Analytics Vidhya
OCTOBER 18, 2020
Overview Making a successful transition into data science is a tricky prospect Here are 8 things you must know about building your data science. The post 8 Things you Absolutely Should Know Before Starting your Data Science Career appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 20, 2020
Big data is changing the nature of cryptocurrency trading in unanticipated ways. A number of cryptocurrency experts have discovered new ways to use big data to improve the scalability of their networks. Freelancers and other small businesses need to find creative ways to embrace big data. They should look for data-driven strategies to invest in cryptocurrencies.
Twilio Segment
OCTOBER 19, 2020
PII is automatically masked to all workspace users unless explicitly granted access by the workspace owners. This allows your company to raise the bar on end-user data protection while harnessing Segment's full power to achieve your business priorities.
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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.
DataCentric podcast
OCTOBER 19, 2020
The hyper-scale market is often a leading indicator of broader enterprise data center trends. This is true of software to manage scalability, autonomous management, security, disaggregated storage, and AI/ML. Jay Shenoy, vice president of technology for Hyve, joins hosts Matt Kimball & Steve McDowell (each a senior technology analyst at Moor Insights & Strategy) to talk about what he's seeing in this space.
Analytics Vidhya
OCTOBER 21, 2020
Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 22, 2020
Big data is changing the future of cybersecurity in unanticipated ways. One poll found that 84% of companies felt that big data was critical for preventing cybersecurity attacks. Every organization needs to take all possible precautions to stop cyberattacks. They need to invest in data-driven strategies to stop malware distribution and other online attacks.
Twilio Segment
OCTOBER 20, 2020
Keynotes, panels, AMAs, day 3 of CDP Week had it all. In case you missed it or want a quick refresher, here’s our highlights from the day.
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.
Analytics Vidhya
OCTOBER 18, 2020
Overview Get to know the deep learning model we will use and ReLu6 Understand how to get blur background using deep learning Introduction The. The post Generate Background Blur using Deep Learning in Python with this Simple Tutorial appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 23, 2020
This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about. The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 20, 2020
The Data Science Blogathon is Over! Long Live the Data Science Blogathon II! Take a deep breath. The first Data Science Blogathon was an. The post Data Science Blogathon Winners are Here and Announcing Blogathon 2! appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 21, 2020
image courtesy Introduction This is probably the 1000th article that is going to talk about implementing regression analysis using PyTorch. so how is it. The post Perform Regression Analysis with PyTorch Seamlessly! appeared first on Analytics Vidhya.
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.
Analytics Vidhya
OCTOBER 23, 2020
Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 22, 2020
This article was published as a part of the Data Science Blogathon. INTRODUCTION What is Deep Learning? Deep Learning is a subset of Machine. The post Introduction and Implementation to Neural Style Transfer – Deep Learning appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 21, 2020
This article was published as a part of the Data Science Blogathon. Introduction Even though there are myriad complex methods and systems aimed at. The post Examining the Simple Linear Regression method for forecasting stock prices using Excel appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 23, 2020
Overview Apache Hive is a must-know tool for anyone interested in data science and data engineering Learn about the different types of tables un. The post Types of Tables in Apache Hive – A Quick Overview appeared first on Analytics Vidhya.
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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
OCTOBER 19, 2020
This summer, a major report on data breaches was released. This report was more concerning than most other reports on data breaches, because it turned out that several free VPN providers had been the target. According to the Sydney Morning Herald, more than 20 million users were affected by the data breach and over 1 billion records were exposed. This was one of the most concerning data breaches in modern history.
Smart Data Collective
OCTOBER 23, 2020
Data analytics is the backbone of modern investing. Stock, bond, crypto and other investors have discovered the powerful advantages of data-driven analysis. We have talked about the benefits of big data in investing before. We felt it was time to delve into the topic in more depth. How Can You Use Big Data to Make Better Investing Decisions? Big data is changing the nature of investing in fundamental ways.
Smart Data Collective
OCTOBER 21, 2020
The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. One of the most important things that they should do is find data-driven approaches to enhance email deliverability.
Twilio Segment
OCTOBER 21, 2020
On the final day of CDP Week 2020, we went out with a bang. Let's take a quick look at some of the main highlights from the day.
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.
Twilio Segment
OCTOBER 19, 2020
The first day of CDP Week featured a suite of new announcements to empower companies to deliver flawless digital experiences.
Twilio Segment
OCTOBER 19, 2020
Day 2 saw another full house at CDP Week. Here’s a quick recap of the highlights.
Smart Data Collective
OCTOBER 22, 2020
Businesses in 2021 need to take a more data-driven approach than ever before. This entails utilizing big data for marketing, optimizing finances and addressing countless other purposes. However, big data has also created some concerns for many businesses. Their internal data could be exposed. If customer data is exposed during a data breach, then they could face a very expensive crisis.
Smart Data Collective
OCTOBER 20, 2020
Big data has led to some major breakthroughs for businesses all over the world. Last year, global organizations spent $180 billion on big data analytics. However, the benefits of big data can only be realized if data sets are properly organized. One of the most important steps is to make sure that databases are properly structured, organized and secured.
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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