Analytics Vidhya

SEPTEMBER 4, 2019

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics IT Statistics 307

Corinium

SEPTEMBER 4, 2019

Tell us about your experience in working with the data analytics community at TheMathCompany? Why do you like working in this space?

Data Analytics 150

Data Analytics Analytics 150

KDnuggets

SEPTEMBER 4, 2019

A recurring subject in NLP is to understand large corpus of texts through topics extraction. Whether you analyze users’ online reviews, products’ descriptions, or text entered in search bars, understanding key topics will always come in handy.

Modeling 121

Modeling Analytics 121

Smart Data Collective

SEPTEMBER 4, 2019

Maternal mortality rates in the United States jumped over 25% between 2000 and 2013. The CDC uses data to better understand why the United States has the highest maternal death rates in the developed world. Big data allows researchers to dig deeper into the issue to better understand what’s occurring that’s leading to increased deaths for mothers. Understaffed hospitals and medical errors are causing most of the deaths.

Big Data 76

Big Data Risk Testing Technology 76

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

KDnuggets

SEPTEMBER 4, 2019

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.

Machine Learning 120

Machine Learning 120

Smart Data Collective

SEPTEMBER 4, 2019

Big data is playing a big role in the commerce industry. Many experts believe it will be even more important in 2019. Big data is partially responsible for the 15% increase in ecommerce sales in 2018. Changing your data from one website or store to another is something that seems like a lot of work. However, if you pay attention to the data and other specifics when changing, you shouldn’t have any issues switching from one platform to another.

Big Data 71

Big Data Sales IT Technology 71

Andrew White

SEPTEMBER 4, 2019

For years theorists, economists, and even tech-evangelists, have all been arguing over the value of data. Notwithstanding the hype, even the Economist in 2017 suggested in a leader article that data was the new oil. Gartner has been writing about ‘data as an asset’ for years. We even ratified calculations to help determine and quantify the value of data assets.

Insurance 61

Insurance Marketing Reporting Sales 61

KDnuggets

SEPTEMBER 4, 2019

Save 40% on Get Programming with Python, Data Science with Python and Dask, and Learn Quantum Computing with Python and Q# with code nlpython40.

Data Science 79

Data Science 79

Smarten

SEPTEMBER 4, 2019

What is Self Service Data Preparation? Data prep can slow down analytics and cause delays. Self-service data preparation (when done right) can enable business users to leverage sophisticated, easy-to-use tools for self-serve ETL. Data extraction, transformation and loading (otherwise known as ETL) can be time-consuming and requires professional skills but self-service ETL will walk business users through an augmented data preparation process and take the complicated, confusing steps out of the p

ROI 51

ROI Enterprise Analytics IT 51

KDnuggets

SEPTEMBER 4, 2019

Also: The secret sauce for growing from a data analyst to a data scientist; 4 Tips for Advanced Feature Engineering and Preprocessing; R Users’ Salaries from the 2019 Stackoverflow Survey; Emoji Analytics.

Analytics 68

Analytics 68

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.

Management

Nutanix

SEPTEMBER 4, 2019

If you’re attending Oracle OpenWorld this year in San Francisco, we have a special cuddly treat for you! When you stop by our booth #1111 you will learn about the benefits of running Oracle databases on Nutanix and DBaaS, then stop by booth #1811 to meet and play with some puppies up for adoption through the Finding a Best Friend Rescue Group.

20

20

KDnuggets

SEPTEMBER 4, 2019

This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!

Deep Learning 52

Deep Learning Data Science Machine Learning 52

datapine

SEPTEMBER 4, 2019

The secret is out, and has been for a while: In order to remain competitive, businesses of all sizes, from startup to enterprise, need business intelligence (BI). Business intelligence has evolved into smart solutions that provide effective data management – from extracting, monitoring, analyzing, and deriving actionable insights needed to stay competitive on the market, to powerful visualizations created with a dashboard builder which enables business users to interact with data and drill into

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

DataRobot

SEPTEMBER 4, 2019

DataRobot recently participated in the Financial Conduct Authority (FCA) Global AML and Financial Crime TechSprint. The FCA is the financial regulatory body in the United Kingdom, and the event took place at their headquarters in London. DataRobot was represented by myself, a Data Scientist, and André Balleyguier, Chief Data Scientist EMEA, in the competition as part of the "Team Citadel.

Data Analytics 14

Data Analytics Analytics 14

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.

Testing

Ontotext

SEPTEMBER 4, 2019

My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. ‘Remember those figs?’ Grandma said. ‘You’re talking about that holiday to France in ’76 and it wasn’t figs, it was apples.’.

Metadata 95

Metadata Consulting Reporting Technology 95

Smart Data Collective

SEPTEMBER 4, 2019

We have talked extensively about the role of big data in marketing in previous articles. However, most of our articles relate to the use of big data with traditional marketing channels, including older digital marketing outlets. There are a number of new channels that use big data as well. Push notifications are among them. Hacker Moon wrote an article on the role of big data with push notifications.

Big Data 81

Big Data Marketing ROI Strategy 81