Sat.Aug 22, 2020 - Fri.Aug 28, 2020

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6 Top Tools for Analytics and Business Intelligence in 2020

Analytics Vidhya

Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. We’ll discuss 6 top business intelligence tools that you. The post 6 Top Tools for Analytics and Business Intelligence in 2020 appeared first on Analytics Vidhya.

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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

The digital marketing field has become far more datacentric in recent years. Before the turn of the century, the reliance on data technology was little more than nonexistent. It was primarily limited to handling the backend computations needed to handle the bandwidth of large websites. Web developers utilized data to some capacity as well, but marketers rarely considered doing so.

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Embrace Beginner's Mind; Avoid The Wrong Way To Be An Expert

Eugene Yan

How not to become an expert beginner and to progress through beginner, intermediate, and so on.

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No More Excuses: Lazy Load Your Images

Victor Zhou

If you’re anything like me, you’ve been putting off lazy loading images on your website(s) for a long time. You’ve always known it was possible (recommended, even), but over time you’ve gotten good at coming up with “reasons” not to do it: How can this be a performance optimization if I’m adding code There are too many lazy loading libraries, I’d probably make the wrong choice anyways In this day and age who still cares about bandwidth… not me, and certainly not my users I’ll do it tomorrow You’

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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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A Beginner’s Guide to CAP theorem for Data Engineering

Analytics Vidhya

Introduction We have had significant advances in distributed databases to handle the proliferation of data. This has allowed us to handle increased traffic with. The post A Beginner’s Guide to CAP theorem for Data Engineering appeared first on Analytics Vidhya.

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Cloud-Based Supply Chain Risk Management Is Key To A Company’s Future

Smart Data Collective

Cloud technology is leading to a number of disruptive changes for many companies all over the world. One of the areas where cloud technology has had a large impact is with supply chain management. There is a great article on Medium about the importance of moving your supply chain to the cloud. There are many reasons that this is important if you want to minimize disruption to your supply chain in 2020.

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Data augmentation with transformer models for named entity recognition

Depends on the Definition

In this article we sample from pre-trained transformers to augment small, labeled text datasets for named entity recognition.

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What is Better for Data Science Learning and Work: Julia or Python?

Analytics Vidhya

Introduction Python has been around since the 1990s, and now it’s one of the most popular programming languages in the world. The reason why. The post What is Better for Data Science Learning and Work: Julia or Python? appeared first on Analytics Vidhya.

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10 Tips on Getting More Out of Google Analytics

Smart Data Collective

Since its inception, Google Analytics has been one of the top choices for website and online marketing analytics on the web. It’s incredibly robust, offering insights into behavioral data, traffic flow, conversion rates, sales funnel development, and more. It grants access to highly customizable and automated reporting, as well as tight user controls so you can guard and selectively distribute your data.

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Creating a Professional Live Show – An interview with Steve Ferreira

Data Science 101

The post Creating a Professional Live Show – An interview with Steve Ferreira appeared first on Ryan Swanstrom.

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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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Topicctl - an easier way to manage Kafka topics

Twilio Segment

Today, we're releasing Topicctl, a tool for easy, declarative management of Kafka topics.

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4 Impressive GAN Libraries Every Data Scientist Should Know!

Analytics Vidhya

Overview GANs are generative models, they create what you feed them. We have listed down 4 prominent GAN Libraries Introduction Currently, GAN is. The post 4 Impressive GAN Libraries Every Data Scientist Should Know! appeared first on Analytics Vidhya.

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How To Manage OpenShift Secrets With Akeyless Vault

Smart Data Collective

Developed by RedHat, OpenShift is an enterprise-grade hybrid cloud Kubernetes platform. It is essentially a commercial version of the open source container orchestration system designed to automate the deployment, management, and scaling of containerized applications. OpenShift can be described as a hybrid K8s application platform that operates as a platform-as-a-service (PaaS), which means it is a containerization platform.

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How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo

Analytics Vidhya

Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and facet. The post How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo appeared first on Analytics Vidhya.

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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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Exploratory Data Analysis(EDA) from scratch in Python!

Analytics Vidhya

Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in Data Science, people generally. The post Exploratory Data Analysis(EDA) from scratch in Python! appeared first on Analytics Vidhya.

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A Beginner’s Guide to Focal Loss in Object Detection!

Analytics Vidhya

Introduction Object detection is one of the most widely studied topics in the computer vision community. It’s has been breaking into various industries with. The post A Beginner’s Guide to Focal Loss in Object Detection! appeared first on Analytics Vidhya.

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Top 4 Sentence Embedding Techniques using Python!

Analytics Vidhya

Overview Learn about the word and sentence embeddings Know the top 4 Sentence Embedding Techniques used in the Industry Introduction The ability of. The post Top 4 Sentence Embedding Techniques using Python! appeared first on Analytics Vidhya.

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How to build a Face Mask Detector using RetinaNet Model!

Analytics Vidhya

Introduction Object detection is a tremendously important field in computer vision needed for autonomous driving, video surveillance, medical applications, and many other fields. We. The post How to build a Face Mask Detector using RetinaNet Model! appeared first on Analytics Vidhya.

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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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Essential Functionalities to Guide you While using AWS Glue and PySpark!

Analytics Vidhya

Introduction In this post, I have penned down AWS Glue and PySpark functionalities which can be helpful when thinking of creating AWS pipeline and. The post Essential Functionalities to Guide you While using AWS Glue and PySpark! appeared first on Analytics Vidhya.

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Step-By-Step Guide To Deploying A Data Driven Strategy For Local Search

Smart Data Collective

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. It isn’t just large companies using big data and AI to get a competitive edge in marketing.

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Does Data Analytics Help With Selecting An IT Provider?

Smart Data Collective

Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. We previously talked about how big data can be used to benefit IT. However, it can also be used to help customers make more informed decisions. Using Big Data to Find the Perfect IT Provider.

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5 Massively Important AI Features In Time Tracking Applications

Smart Data Collective

Artificial intelligence has transformed the future of many industries. One area that has been under- investigated is the use of AI in time tracking technology. AI is Fundamentally Changing the Future of Time Tracking Technology. A time tracking software is a worthy investment irrespective of the size of your organization. It generates accurate reports based on the amount of time your team spends working on a task.

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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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Big Data Benefits Marathon Runners With Ambition

Smart Data Collective

We have previously talked about some of the ways that big data is influencing sports. The NBA is using big data in a variety of ways to improve performance and streamline their business models. Athletes in other sports are using big data as well. But what are the benefits of it in these capacities? In recent years, the term “Big Data” has been thrown around in a lot of different capacities.

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3 Essential AI And Cloud-Based Tools Modern Business Needs To Thrive

Smart Data Collective

Artificial intelligence and cloud computing are changing the direction of modern business. Countless entrepreneurs are discovering the benefits of AI in their business models. The market for AI technology was $39.9 billion last year. It is growing at a phenomenal pace of 42.2% a year. But what AI and cloud-based tools are in the greatest demand among business owners ?

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The Complex Reality of Personal Data In The Credit Card Industry

Smart Data Collective

It’s no secret we live in a digital world! We all live entirely electronically, whether it is with the Zoom meetings that are keeping us busy or the phones we’re glued to every second. What many people fail to recognize, though, is just what that means for individual safety. We now live in a world where a person has a unique digital footprint, for which they bear some responsibility.

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Where Does Big Data Fit In When Designing A Website?

Smart Data Collective

Big data has brought profound changes to the web development field. Website data has become essential for many industries. For example, 21% of investment advisors use website data to manage investments. In order to leverage big data effectively, you need to understand its context in the web development. This warrants a background on website management and web design, which is provided below.

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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.