Analytics Vidhya

MARCH 8, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data. Startups and commercial organizations alike are competing to use their valuable data for business growth and customer satisfaction with the help of deep learning […].

Deep Learning 295

Deep Learning Visualization Modeling Machine Learning 295

KDnuggets

MARCH 8, 2022

Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.

Data Science 155

Data Science Machine Learning Visualization 155

Analytics Vidhya

MARCH 8, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].

Machine Learning 312

Machine Learning Modeling Data mining Data Science 312

KDnuggets

MARCH 8, 2022

Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.

Machine Learning 159

Machine Learning Data Science 159

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Visualization

Analytics Vidhya

MARCH 8, 2022

Analytics Vidhya is back with another edition of Blogathon which is live now! Click here to register! “There is no greater agony than bearing an untold story inside you.” […]. The post Blogathon 18 is Live Now! Total prizes worth INR 6 Lakh(?USD 8000) appeared first on Analytics Vidhya.

Analytics 275

Analytics Deep Learning Machine Learning Data Science 275

KDnuggets

MARCH 8, 2022

A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.

Machine Learning 110

Machine Learning 110

KDnuggets

MARCH 8, 2022

In the majority of companies, the executives in charge of data science and the decision-making process using data science, have little or no education or understanding in actual data science. Where does this leave you, the data scientist?

Data Science 112

Data Science 112

Teradata

MARCH 8, 2022

In honor of Women's History Month & Int'l Women's Day, we are spotlighting Hillary Ashton, Teradata's Chief Product Officer, as she looks back on her career and gives advice to young women in tech.

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59

KDnuggets

MARCH 8, 2022

Learn more about the popular certifications that will validate your data and analytics skills.

Analytics 108

Analytics 108

Dataiku

MARCH 8, 2022

In a recent Dataiku Product Days session, we captured an intriguing conversation between Tom Brown, who is one of the most active users in the Dataiku Community (with fellow ambassador users, the Dataiku Neurons ) and Christopher Shanin, Cascade Bicycle Club Technology Manager. In this blog, we hit the highlights of their discussion of the nonprofit space at large, common data management challenges faced by nonprofit organizations, and data-oriented solutions to these respective challenges.

Management 59

Management Technology 59

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.

Management

Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, it typically arises out of frustration. They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. But they then risk using the wrong data, pulling others away from more important jobs, or making bad decisions based on bad data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

Jen Stirrup

MARCH 8, 2022

Today is International Women’s Day 2022 and I have mixed feelings about it. The thrust of this post is to say that it’s not just up to men to help women; women need to be better to one another too. Women’s rights are human rights and we can all help one another. i stand on the sacrifices of a million women before me thinking what can i do to make this mountain taller so the women after me can see farthe r – Legacy, Rupi Kaur.

Interactive 92

Interactive Technology Marketing IT 92

Alation

MARCH 8, 2022

To celebrate International Women’s Day, we sought to recognize some incredible women within the ranks of Alation. If you’re like most women, and go straight to the leadership page on a website before you even consider an opportunity, you’re not going to see the typical gallery of all (white) men. Our C-Suite of People, Finance, and Marketing, are all women, with Joy Wolken heading up our People Team since 2018, and new addition Langley Eide taking on the CFO role this February.

Sales 52

Sales Data Processing Finance Metrics 52

Smarten

MARCH 8, 2022

Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.

Data-driven 67

Data-driven Business Intelligence Sales Analytics 67

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.

Experimentation

Jet Global

MARCH 8, 2022

It’s the busy season for financial professionals. Whether you are a CFO, a tax specialist, or part of the team responsible for closing the books and producing year-end statements, Q1 is crunch time. It’s the season for staying late at the office (or working evenings at your home office), chipping away at that long list of to-do items that need to be completed ASAP.

Reporting 52

Reporting Finance Software Technology 52