Analytics Vidhya

NOVEMBER 26, 2020

Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.

Data Science 398

Data Science Analytics Analytics Data Scientist 398

Smart Data Collective

NOVEMBER 25, 2020

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.

Machine Learning 144

Machine Learning Machine Learning Algorithm Predictive Analytics 144

Eugene Yan

NOVEMBER 23, 2020

How did you set up your site and what's an easy way to replicate it?

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Alation

NOVEMBER 24, 2020

The post LGBTQ History Month: A Look Back and the Importance of Community at Alation appeared first on Alation.

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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

Analytics Vidhya

NOVEMBER 21, 2020

Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 billion by 2025. Here we’ve prepared a detailed outline about the future of BI, including main trends, challenges, specifics, BI-as-a-Service, and most promising BI services of today.

Business Intelligence 130

Business Intelligence Business Intelligence Power BI Augmented Analytics 130

DataCentric podcast

NOVEMBER 25, 2020

You can't escape the Edge, but what does it really mean for IT? This is a world where there are limited standards and no "one true way" to deliver solutions, so IT practitioners look to middleware and common tooling to help mangage the complexity. What's working? What isn't? And is there a turf war brewing between IT and OT teams within the enterprise?

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Analytics Vidhya

NOVEMBER 23, 2020

This article was published as a part of the Data Science Blogathon. Introduction This article outlines the motivation behind MLOps, its relation to DevOps, The post MLOps – the Why and the What appeared first on Analytics Vidhya.

Data Science 375

Data Science Analytics Analytics Machine Learning 375

Smart Data Collective

NOVEMBER 24, 2020

In response to the global Coronavirus pandemic, businesses are adopting a series of new, innovative digital technologies. Business intelligence is emerging as a new point of differentiation to help them stand out amongst their competitors. As a business owner, you likely know the importance of adopting new solutions to remain competitive in the “new normal.

Business Intelligence 114

Business Intelligence Business Intelligence Big Data Big Data 114

Twilio Segment

NOVEMBER 24, 2020

Live chat gives your customers answers in real-time as they’re browsing. Not all options are created equal, though.

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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

DataCentric podcast

NOVEMBER 23, 2020

As SuperComputing 2020 wraps up, it's a great time to catch up on everything happening in the HPC world. Nobody knows HPC better than Penguin Computing. In this episode of the DataCentric podcast, hosts Matt and Steve are joined by Penguin Computing's Chief Strategy Officer Matt Jacobs, and Penguin's Senior Vice President, Strategic Solutions Group, Kevin Tubbs.

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Analytics Vidhya

NOVEMBER 27, 2020

This article was published as a part of the Data Science Blogathon. Introduction Data is everywhere these days. Human beings have been sensing, processing, The post The Key Concept of Scrum in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 376

Machine Learning Machine Learning Data Science Analytics 376

Smart Data Collective

NOVEMBER 24, 2020

Big data is central to the success of modern marketing strategies. Today, more than ever, companies need to find more innovative ways to leverage data analytics to create a competitive edge in an everchanging landscape. One of the most important, yet overlooked, benefits of data is with scheduling. Marketing teams can use data analytics to optimize their scheduling to squeeze a higher ROI from their strategies.

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Big Data Big Data Machine Learning Machine Learning 102

Twilio Segment

NOVEMBER 24, 2020

4 critical steps Udacity took to create a data-driven culture for the long term

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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.

Analytics Vidhya

NOVEMBER 25, 2020

Overview: Learn what is Big Data and how it is relevant in today’s world Get to know the characteristics of Big Data Introduction. The post What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners appeared first on Analytics Vidhya.

Big Data 387

Big Data Big Data Data Engineering Data Engineer 387

Analytics Vidhya

NOVEMBER 26, 2020

This article was published as a part of the Data Science Blogathon. Introduction Often we have heard the term Automated Machine Learning or AutoML. The post AutoML: Making AI more Accessible to Businesses appeared first on Analytics Vidhya.

Machine Learning 351

Machine Learning Machine Learning Data Science AI 351

Analytics Vidhya

NOVEMBER 26, 2020

This article was published as a part of the Data Science Blogathon. Understanding the Problem Many times while working on computer vision problems, we. The post Extending the ImageDataGenerator in Keras and TensorFlow appeared first on Analytics Vidhya.

Data Science 374

Data Science Analytics Analytics Deep Learning 374

Analytics Vidhya

NOVEMBER 27, 2020

This article was published as a part of the Data Science Blogathon. Introduction In this digital world, spam is the most troublesome challenge that. The post Understanding Naïve Bayes and Support Vector Machine and their implementation in Python appeared first on Analytics Vidhya.

Support Vector Machines 382

Support Vector Machines Python Data Science Analytics 382

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

Analytics Vidhya

NOVEMBER 25, 2020

This article was published as a part of the Data Science Blogathon. Introduction Unstructured data contains a plethora of information. It is like energy. The post Words that matter! A Simple Guide to Keyword Extraction in Python appeared first on Analytics Vidhya.

Python 365

Python Data Science Analytics Analytics 365

Analytics Vidhya

NOVEMBER 24, 2020

This article was published as a part of the Data Science Blogathon. A Tour of Evaluation Metrics for Machine Learning After we train our. The post A Tour of Evaluation Metrics for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 312

Machine Learning Machine Learning Data Science Analytics 312

Analytics Vidhya

NOVEMBER 27, 2020

This article was published as a part of the Data Science Blogathon. Introduction Data Analysis is the most essential part of any data science. The post Data Exploration with the dtale Library in Python appeared first on Analytics Vidhya.

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Python Data Science Data Analysis Data Analysis 343

Analytics Vidhya

NOVEMBER 24, 2020

Introduction Lets’ solve OpenAI’s Cartpole, Lunar Lander, and Pong environments with REINFORCE algorithm. Reinforcement learning is arguably the coolest branch of artificial intelligence. It. The post REINFORCE Algorithm: Taking baby steps in reinforcement learning appeared first on Analytics Vidhya.

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Algorithm Artificial Intelligence Artificial Intelligence Analytics 287

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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

Analytics Vidhya

NOVEMBER 23, 2020

“Being dynamic is important, especially in the Data Science field.” – Mobassir Hossen To achieve your goal of transitioning into data science or becoming. The post Kaggle Grandmaster Series – Notebooks Grandmaster Mobassir Hossen’s Journey from Software Engineer to Data Science appeared first on Analytics Vidhya.

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Data Science Analytics Analytics 323

Analytics Vidhya

NOVEMBER 27, 2020

This article was published as a part of the Data Science Blogathon. Introduction NLTK is a string processing library that takes strings as input. The post A Quick Guide to Text Cleaning Using the nltk Library appeared first on Analytics Vidhya.

Data Science 315

Data Science Analytics Analytics Python 315

Analytics Vidhya

NOVEMBER 24, 2020

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The. The post Should I become a data scientist (or a business analyst)? appeared first on Analytics Vidhya.

Data Scientist 314

Data Scientist Analytics Analytics Big Data 314

Analytics Vidhya

NOVEMBER 22, 2020

Photo by Olav Ahrens Røtne on Unsplash I have recently had the idea to use Selenium with Python to automatize some repetitive tasks on. The post How to handle common Selenium Challenges Using Python? appeared first on Analytics Vidhya.

Python 315

Python Analytics Analytics 315

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

Analytics Vidhya

NOVEMBER 23, 2020

This article was published as a part of the Data Science Blogathon. Introduction If you want to know – How to use MACHINE LEARNING. The post Predicting Employee Attrition using Orange(.ows) Visual Programming Software appeared first on Analytics Vidhya.

Machine Learning 281

Machine Learning Machine Learning Data Science Analytics 281

Analytics Vidhya

NOVEMBER 25, 2020

This article was published as a part of the Data Science Blogathon. Introduction Build an app and bring data to life !!!! Dash as. The post Classification Model Simulator Application Using Dash in Python appeared first on Analytics Vidhya.

Python 279

Python Data Science Analytics Analytics 279

Analytics Vidhya

NOVEMBER 26, 2020

Overview Apache spark is amongst the favorite tools for any big data engineer Learn Spark Optimization with these 8 tips By no means is. The post 8 Must Know Spark Optimization Tips for Data Engineering Beginners appeared first on Analytics Vidhya.

Data Engineering 295

Data Engineering Data Engineer Data Engineering Data Engineering 295

Analytics Vidhya

NOVEMBER 25, 2020

This article was published as a part of the Data Science Blogathon. Introduction After you are done with model building and proper hyperparameter tunning, The post FastAPI: The Right Replacement For Flask? appeared first on Analytics Vidhya.

Data Science 296

Data Science Analytics Analytics Data Engineering 296

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.