Analytics Vidhya
OCTOBER 14, 2020
Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 13, 2020
Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At the same time, big data and analytics today offer previously unthinkable possibilities for tackling these and many other challenges automakers face.
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Eugene Yan
OCTOBER 13, 2020
Step-by-step walkthrough on the environment, compilers, and installation for ScaNN.
Alation
OCTOBER 13, 2020
The post Alation is the Clear Leader in The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020 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?
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 13, 2020
Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Tableau
OCTOBER 13, 2020
Tanna Solberg October 13, 2020 - 9:19pm Courtney Totten Director, Academic Programs We use data everyday for our jobs and in our daily lives. Whether you’re optimizing your sales organization or researching climate change, understanding data is a key ingredient for success. Although most people are familiar with the current trend of growing amounts of data, there is a skills gap in data literacy - defined as the ability to explore, understand, and communicate with data.
Analytics Vidhya
OCTOBER 10, 2020
Introduction When building a machine learning model in real-life, it’s almost rare that all the variables in the dataset are useful to build a. The post Feature Selection Techniques in Machine Learning appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 13, 2020
Analytics is at the forefront of social media marketing. The market for social media analytics was worth $3.58 billion this year. At the point when the idea of Social Media Platforms previously came into light in the last part of the 2000s, everyone hoped to experience their new hobby and they have remained there from that point onward. Analytics wasn’t a big deal in the early days of social media marketing, but has become more important since.
learn data science
OCTOBER 12, 2020
I’m super excited to announce Exploratory v6.2! ??? As always, we have a bunch of new features & enhancements, here’s a quick overview of the following areas. Summary View Analytics Chart Data Wrangling Dashboard Parameter Summary View Reference lines for Mean & Midian Now you can see the mean and the median values as reference lines on top of the histogram charts for numerical columns.
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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.
Alation
OCTOBER 13, 2020
The post Alation + Dataiku: Drive Greater Value from Data Science appeared first on Alation.
Analytics Vidhya
OCTOBER 16, 2020
Introduction Have you ever stumbled upon a dataset or an image and wondered if you could create a system capable of differentiating or identifying. The post Create your Own Image Classification Model using Python and Keras appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 15, 2020
There are a number of different platforms for developing applications that rely on big data. Linux is unquestionably one of the most important. Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live patching is one of the most important technologies for developers working on data analytics projects on Linux.
DeepMind
OCTOBER 11, 2020
Imagine if you had to learn how to chop, peel and stir all over again every time you wanted to learn a new recipe. In many machine learning systems, agents often have to learn entirely from scratch when faced with new challenges. It’s clear, however, that people learn more efficiently than this: they can combine abilities previously learned. In the same way that a finite dictionary of words can be reassembled into sentences of near infinite meanings, people repurpose and re-combine skills they a
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.
DataCentric podcast
OCTOBER 13, 2020
Our old friend Jonathan Seckler, Dell Technologies Director of Server Marketing, joins hosts Matt Kimball and Steve McDowell (both senior analysts at Moor Insights & Strategy) to talk about the current state of the server market. Jonathan brings us up to speed on the most recent server announcments from Dell, including the the massive storage-centric PowerEdge XE7100 and updates to Dell's OpenManage software.
Analytics Vidhya
OCTOBER 11, 2020
This article was published as a part of the Data Science Blogathon. Introduction As famous author Wayne W.Dyer puts it, Change the way you. The post Python 3.9 is out! Explore 7 Exciting Python 3.9 Features That You Should Know appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 11, 2020
Cloud design tools are creating a new future for the design profession. One study found that 47% of companies that use CAD software are implementing or strongly considering implementing a cloud-based CAD solution in the future. The number of professionals using other cloud-based design applications is even higher. We talked about the use of machine learning and big data in web development.
Analytics Vidhya
OCTOBER 11, 2020
This article was published as a part of the Data Science Blogathon. Introduction to Tableau Tips! Creating a chart or visual in Tableau is. The post 5 Tableau Tips for Designing a Tidy and Impactful Visualization 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 15, 2020
Overview Data science hackathons can be a tough nut to crack, especially for beginners Here are 12 powerful tips to crack your next data. The post 12 Powerful Tips to Ace Data Science and Machine Learning Hackathons appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction There is no mathematical equation for model interpretability. ‘Interpretability is the. The post Global Model Interpretability Techniques for Black Box Models appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Overview This article is a continuation and Part 2 of my first. The post Ultimate Beginner’s Guide to Win Classification Hackathons with a Data Science Use Case appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 10, 2020
This article was published as a part of the Data Science Blogathon. Introduction “I’m a bit of a freak for evidence-based analysis. I strongly. The post Introduction to Logistic Regression – The Most Common Classification Algorithm 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.
Analytics Vidhya
OCTOBER 11, 2020
This article was published as a part of the Data Science Blogathon. Introduction How can you ensure that the many lines of code you. The post What does not get discussed about analysis: Chaos to order appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 11, 2020
This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!! So you have successfully built your classification model. What should. The post HOW TO CHOOSE EVALUATION METRICS FOR CLASSIFICATION MODEL appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 11, 2020
This article was published as a part of the Data Science Blogathon. Introduction Well! We all love cakes. If you take a deeper look. The post The Clever Ingredient that decides the rise and the fall of your Machine Learning Model- Exploratory Data Analysis appeared first on Analytics Vidhya.
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 Vidhya
OCTOBER 13, 2020
This article was published as a part of the Data Science Blogathon. Introduction In this blog, I will explain how using simple machine learning. The post Modernize Support Logs Using Simple Python Commands appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 13, 2020
Overview Understand the limitations of linear regression for a classification problem, the dynamics, and mathematics behind logistic regression. Understand how GLM is used for. The post Demystification of Logistic Regression appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 14, 2020
Overview Learn about the integration capabilities of Power BI with Azure Machine Learning (ML) Understand how to deploy machine learning models in a production. The post The Power of Azure ML and Power BI: Dataflows and Model Deployment appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 12, 2020
Introduction In general terms, this article is going to be about data cleansing. Specifically, the process I would like to explore is actually a. The post Sanitizing the Data – Merging Disparate Data Sources on Common Categories appeared first on Analytics Vidhya.
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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