KDnuggets

JANUARY 21, 2022

Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

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Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

Data Science 393

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Dataconomy

JANUARY 20, 2022

YouTube is the second-largest social media network and search engine on the planet, with over 2.3 billion active users. Since its inception in 2005, YouTube has grown into a tech behemoth. It is now a hub for hobby content creators, professional influencers, and social media marketing specialists. Over 12 million.

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Applied Data Science

JANUARY 17, 2022

Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash ? Full Stack Data Scientist: Part 7— How to set up a Slack Bot for instant, automatic notifications Dashboards are the most popular way of presenting data in businesses —  but they’re not the only way ! There are times when users need to be immediately notified when something happens. For example… ?

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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?

AI

KDnuggets

JANUARY 19, 2022

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

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Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

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The Data Administration Newsletter

JANUARY 18, 2022

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

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KDnuggets

JANUARY 15, 2022

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

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Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

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Smart Data Collective

JANUARY 17, 2022

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology. There are a lot of reasons that big data can be useful for healthcare businesses of all sizes.

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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.

Database

FlowingData

JANUARY 19, 2022

Our World in Data continues their important work on providing and showing up-to-date Covid data. Most recently, they updated death rates in Switzerland by vaccination plus booster status. The rates for the unvaccinated are expectedly much higher, but also the rates for those with a booster are multiples lower than those fully vaccinated with no booster.

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KDnuggets

JANUARY 17, 2022

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

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Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.

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Smart Data Collective

JANUARY 19, 2022

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design. There are a lot of things that have to be taken into consideration with mobile app design.

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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

JANUARY 21, 2022

In an automated job climate that analyzes resumes and inspects social profiles, it can be a challenge to find the job that’s right for you. Luckily, Jess Peter for The Pudding put together a satirical set of tools to combat the recruiting bots. Generate a fake resume with a specified level of experience, define a profile pic for your socials, and then use that fake image of your face for the video interview.

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KDnuggets

JANUARY 17, 2022

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?

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Data Science SQL Data Scientist Machine Learning 371

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain. Data […].

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Dataversity

JANUARY 19, 2022

When the pandemic struck, it caused us to leave our offices, work from home, and rush to the cloud. Centralized offices became decentralized networks of people working from home. Because of this, many cloud apps went from important tools to centers of gravity for our departments. Ideas that bloomed in a conference room now take root in […]. The post Three SaaS and IT Predictions for 2022 appeared first on DATAVERSITY.

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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.

Data Science

FlowingData

JANUARY 20, 2022

The number of births per month has been decreasing over the past decade. The pandemic seems to have sped up the process in the beginning. Read More.

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KDnuggets

JANUARY 21, 2022

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

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Data Science 363

Analytics Vidhya

JANUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello all, happy new year, have a safe and knowledgeable year ahead. So, in today’s article, we will see about a new algorithm called Histogram Boosting Gradient Classifier (HBG). Maybe very few of them came across this particular algorithm. So, what is a […].

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Algorithm Data Science Analytics Analytics 344

Dataversity

JANUARY 20, 2022

With labor shortages continuing throughout multiple industries, businesses need to revisit automation as a way of “filling” unhired roles or even eliminating tedious tasks that create worker dissatisfaction. Thoughtful automation can improve the work experience by granting employees the freedom to focus on more meaningful aspects of their jobs or by reducing the stress of […].

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Data Science Analytics Analytics AI 98

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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.

Analytics

The Data Administration Newsletter

JANUARY 18, 2022

Data Accuracy is one of the so-called “dimensions” of Data Quality. The goal for these dimensions, and it is a noble one, is so we can measure each of them, and should deficiencies be found then there should be a uniform set of best practices that we can implement. Of course, these best practices will differ from […].

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KDnuggets

JANUARY 17, 2022

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

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Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Hey Guys, Hope you all are doing well. In this article, we will be learning how you can develop and deploy an image classifier using flask. Like my other articles, this article will give you hands-on experience with code and at the end of […]. The post Develop and Deploy Image Classifier using Flask: Part 1 appeared first on Analytics Vidhya.

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Dataversity

JANUARY 18, 2022

In 2022, ensuring best-in-class Data Management is anything but straightforward for CIOs and IT leaders. The volume, variety, and velocity of data being collected have grown exponentially, as has the number of cloud solutions that require the use of this data without your direct control. To be successful, you must enable your organization to leverage […].

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Analytics Analytics 98

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.

Analytics

The Data Administration Newsletter

JANUARY 18, 2022

Whether you’re stepping into a new organization as a data lead or trying to overhaul your data infrastructure, the first step in the process is to understand how your organization currently uses data. While that may sound simple, it can be an intimidating process to start. This is the beginning of a series of articles […].

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KDnuggets

JANUARY 18, 2022

Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.

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Data Science 383

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Image-1 Introduction Today, In this guide, we will dive in to learn about Kubernetes and use it to deploy and manage containers at scale. Container and microservice architecture had used more to create modern apps. Kubernetes is open-source software that allows you to deploy […].

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Dataversity

JANUARY 17, 2022

Most industries have seen tremendous change due to the pandemic over the past two years, which has brought new and ever-evolving data that businesses need to make sense of. With that, data analytics tools have become more imperative than ever, as they can help organizations analyze changing business patterns as well as offer insightful visibility […].

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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.