Tue.Jun 08, 2021

article thumbnail

Complete Guide to Data Types in Statistics for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Data Science, we aim to do different experiments with. The post Complete Guide to Data Types in Statistics for Data Science appeared first on Analytics Vidhya.

article thumbnail

Qlik is Exemplary and Value Index Leader in Customer Experience for 2021 Value Index for Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 132
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Text Analytics of Resume Dataset with NLP!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all have made our resumes at some point in. The post Text Analytics of Resume Dataset with NLP! appeared first on Analytics Vidhya.

Analytics 344
article thumbnail

How Master Data Management Can Help Tame the Data Governance Mayhem

DataKitchen

The post How Master Data Management Can Help Tame the Data Governance Mayhem first appeared on DataKitchen.

article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

article thumbnail

Develop your First Image Processing Project with Convolutional Neural Network!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep learning is a booming field at the current time, The post Develop your First Image Processing Project with Convolutional Neural Network! appeared first on Analytics Vidhya.

article thumbnail

Escaping the Bar Chart

Depict Data Studio

Bar charts aren’t evil. But they’re overused. Ready to escape the bar chart? I talked about Designs to Start Using Instead at the DataScienceGO conference in April 2021. Watch the Conference Session. Choose Your Own Adventure. This was a Choose Your Own Adventure presentation , where I gave the conference attendees a chance to vote for the chart families they wanted to learn about.

More Trending

article thumbnail

AI Leads to New Complications and Opportunities in PPC Marketing

Smart Data Collective

Leading digital advertising platforms such as Google and Microsoft Advertising have been at the forefront of technological innovation for years. They have invested heavily in artificial intelligence technology to improve the performance of PPC marketing campaigns. Artificial intelligence has drastically shaped the future of PPC marketing. A growing body of research shows that the benefits of using AI can be remarkable.

Marketing 119
article thumbnail

10 AI tech trends data scientists should know

DataKitchen

The post 10 AI tech trends data scientists should know first appeared on DataKitchen.

130
130
article thumbnail

7 Must-Have Data Visualization Skills for Data Analysts

Juice Analytics

When I speak to people new to the analytics field, they often wonder what skills will make them successful in their career. For all the data science skills, tools, and boot camps that are available, I still find that the missing link for many data analysts is the ability to communicate and convince after they’ve analyzed data. All your hard work is wasted if it doesn’t spur someone to change.

article thumbnail

Humans and AI: AI and Individuality

DataRobot

I started a family late in life. I have a three-year-old son and just a couple of months ago, celebrated my fifth wedding anniversary. There are pluses and minuses to starting late. My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a product for a child, I must be a grandfather.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Why Rolling Forecasts Are a “Must”!

Jet Global

In periods of great uncertainty, organizations forecast more frequently in the hope that it will give them a better handle on their trading prospects, levels of activity, and resources needed for the coming months. But cranking the handle more often doesn’t necessarily lead to richer or more accurate insights. At FSN, we call it the “hamster wheel” effect.

article thumbnail

Taking AI on Snowflake to the Next Level with Dataiku, Java UDFs, & Snowpark

Dataiku

Want to take execution of AI initiatives across the organization on Snowflake to the next level? Some of the latest updates from Snowflake make it easier to leverage Dataiku to do just that.

IT 95
article thumbnail

Fitting Support Vector Machines via Quadratic Programming

Domino Data Lab

In this blog post we take a deep dive into the internals of Support Vector Machines. We derive a Linear SVM classifier, explain its advantages, and show what the fitting process looks like when solved via CVXOPT – a convex optimisation package for Python. Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detecti

article thumbnail

Workforce competency key to digital transformation efforts, more possibilities available through Skillsfuture Singapore

Cloudera

A sturdy data infrastructure coupled with a proficient workforce are pillars for an organization’s digital transformation efforts. . McKinsey lists building capabilities for the workforce of the future as one of five categories of factors improving the chances of a successful digital transformation. Investing the right amount in digital talent and scaling up workforce planning and talent development could make transformation success up to three times more likely. .

article thumbnail

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

article thumbnail

Connecting R&D to the Digital Thread

Teradata

With so much data being collected during the manufacturing & sales process, & augmented by connected vehicles, there are emerging opportunities for R&D teams to mine this data for new insights.

article thumbnail

GigaOm Shines Spotlight on Nutanix Objects

Nutanix

GigaOm, a leading analyst firm recognizes Nutanix Objects as an Outperformer in its radar, for Enterprise Object Storage and additionally, a Fast Mover in High-Performance Object Storage.

article thumbnail

The 4 keys to a successful manufacturing IIOT pilot

Cloudera

If you have read our previous post focusing on the challenges of planning, launching and scaling IIOT use cases , you’ve narrowed down the business problems you’re trying to solve, and you have a plan that is both created by the implementation team and supported by executive management. Here’s a plan to make sure you’ve got it all down. . Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup.