2021

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6 Predictive Models Every Beginner Data Scientist Should Master

KDnuggets

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

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The Fundamentals of Exploratory Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].

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NLP is the heart of the intelligent enterprise

Dataconomy

The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months. This is due in large part to the rise of chatbots and intelligent assistants in call centers, help desks, kiosks, and other customer support applications, but these are hardly.

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Ship / Show / Ask: A modern branching strategy

Hacker News

I've written a fair bit about how using pull requests can encourage a low integration frequency, reducing cycle time and discouraging refactoring. Rouan Wilsenach has had success using an approach that categorizes changes as Ship/Show/Ask - using this classification to decide whether and how to use pull requests.

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The Project Clinic: Assessing Project Health, Planning, and Execution

Speaker: Ketan Jahagirdar

Picture your projects as patients, each with its own unique rhythm and pulse, thriving under your care 🥼 🩺 Step into the role of an innovative project doctor in our upcoming webinar! This session is your guide to evaluating the health of your projects through Waterfall and Agile practices like Scrum and Kanban. We’ll explore the vital signs of project success through the lens of the “iron triangle” metrics, using deliverables as tracers.

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Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

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Best Data Visualization Projects of 2021

FlowingData

Phew, just made it. These are my favorite data visualization projects from 2021. Like last year, there were many Covid-related charts on the internets this year. While they are important to gauge the state of things, I found myself veering away from them to focus on other areas. I craved distraction, practical information for the times, and anything outside the bubble.

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Converting Big Data into Actionable Intelligence

The Data Administration Newsletter

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

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New data viz brings fans closer to Team USA

Tableau

Jackie Yeaney. EVP of Marketing, Tableau. Kristin Adderson. July 10, 2021 - 8:16pm. July 23, 2021. Meet Team USA. Over the next few weeks, 800-plus members of Team USA will converge in Tokyo to pursue their long-awaited Olympic and Paralympic dreams. These exceptional athletes will be competing in 339 medal events in 41 sports, including 22 Paralympic events, to be held in dozens of venues throughout Tokyo and surrounding regions.

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How to Utilize Artificial Intelligence in Your eCommerce SEO Strategy

Smart Data Collective

If you have not lived under a rock for several years, you have undoubtedly heard about artificial intelligence (AI). However, how might artificial intelligence be used in e-commerce operations? Artificial intelligence (AI) is starting to fill every facet of our daily lives. For example, self-checkout cash registers, airport security checks, and other automated processes all use artificial intelligence to some degree.

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Building a solid data team

KDnuggets

How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

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3 Differences Between Coding in Data Science and Machine Learning

KDnuggets

The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

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Top Stories, Nov 15-21: 19 Data Science Project Ideas for Beginners

KDnuggets

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

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Design Patterns for Machine Learning Pipelines

KDnuggets

ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

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Effective Data Visualization Techniques in Data Science Using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Visualization Data Visualization techniques involve the generation of graphical or. The post Effective Data Visualization Techniques in Data Science Using Python appeared first on Analytics Vidhya.

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How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

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Predicting The Wind Speed Using K-Neighbors Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.

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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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How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

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Everything You Need To Know About PandasGUI

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction How many times you have used Pandas library for your. The post Everything You Need To Know About PandasGUI appeared first on Analytics Vidhya.

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

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Hyperparameter Tuning Of Neural Networks using Keras Tuner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

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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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Data Scientist Career Path from Novice to First Job

KDnuggets

If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.

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Where NLP is heading

KDnuggets

Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

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Most Common SQL Mistakes on Data Science Interviews

KDnuggets

Sure, we all make mistakes -- which can be a bit more painful when we are trying to get hired -- so check out these typical errors applicants make while answering SQL questions during data science interviews.

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Python Tutorial: Working with CSV file for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science 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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All you need to know about Convolutional Neural Networks!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of Contents: What is CNN, Why is it important Biological. The post All you need to know about Convolutional Neural Networks! appeared first on Analytics Vidhya.

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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

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How to Create Stunning and Interactive Dashboards in Excel?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

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Top 7 Must Have Books for Deep Learning!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon “Somethings never change, their essence and contributions remain the same till. The post Top 7 Must Have Books for Deep Learning! appeared first on Analytics Vidhya.

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

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. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene