KDnuggets
NOVEMBER 28, 2019
Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.
Analytics Vidhya
NOVEMBER 26, 2019
Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should. The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dataconomy
NOVEMBER 24, 2019
An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on. “Without data, you simply can’t. The post Here is how IBM’s Data Scientists look at Data-Driven Future appeared first on Dataconomy.
Smart Data Collective
NOVEMBER 28, 2019
Businesses can use big data in many capacities, but those who use it for social media are at a huge advantage. It enables you as a social media marketer to get a closer look at your customer base, understand what drives purchasing decisions , and encourage consumers to pull the trigger. Using big data to augment your social media strategy provides a wealth of opportunities simply because social media is such an integral part of people’s lives.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
NOVEMBER 28, 2019
This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.
Analytics Vidhya
NOVEMBER 24, 2019
Overview Learn how to use Shapley values in game theory for machine learning interpretability It’s a unique and different perspective to interpret black-box machine. The post A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values! appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
NOVEMBER 25, 2019
More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. 1.
KDnuggets
NOVEMBER 28, 2019
Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.
Analytics Vidhya
NOVEMBER 27, 2019
“Every once in a while, a revolutionary product comes along that changes everything.” – Steve Jobs We are thrilled to announce the launch of. The post DSAT – First Ever Adaptive Learning Platform for Data Science Professionals appeared first on Analytics Vidhya.
Data Science 101
NOVEMBER 29, 2019
In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. We will have to wait and see.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Smart Data Collective
NOVEMBER 28, 2019
Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines. Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc. Big data is making it a lot easier for search engines to analyze content, which is a great deal for the customer.
KDnuggets
NOVEMBER 27, 2019
Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.
DataRobot
NOVEMBER 25, 2019
Is AI taking over our jobs? Will AI replace the need for humans? No. Think of the rise of AI as a way of enhancing us, not replacing us. Colin Priest, VP of AI Strategy at DataRobot, explains when to use AI to complete a task and when to turn to a human.
Data Science 101
NOVEMBER 26, 2019
It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
NOVEMBER 24, 2019
Big data is becoming more essential in the arena of employee collaboration. A growing number of teams are finding that big data can be very beneficial when it comes to forging stronger relationships between their participants. Dr. Mark van Rijmenam, the founder of DataFlaq is one of the world’s leading experts on the intersection between big data and interpersonal communication.
KDnuggets
NOVEMBER 29, 2019
Read this article on training Markov chains to generate George R. R. Martin style text.
DataRobot Blog
NOVEMBER 25, 2019
by Jen Underwood. And so it begins…Tableau enters the Salesforce era. This year Tableau Conference, the world’s largest gathering of data enthusiasts, continued to grow with over 18,000 attendees joining the party in. Read More.
Data Science 101
NOVEMBER 23, 2019
The National Institutes of Health (NIH) is creating a Data Management and Sharing Policy. They are currently looking for input on the policy. The NIH funds a lot of research, and this policy will affect the data and results researchers produce. NIH’s DRAFT Data Management and Sharing Policy: We Need to Hear From You! This is the time to share your thoughts.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Smart Data Collective
NOVEMBER 29, 2019
Big data technology is essential to the field of robotics. Big data has made it easier than ever to automate certain processes with complicated robotic tools. Robotic Process Automation or RPA is a computer coded software that helps automate tedious, rule-based processes, thus improving productivity , eliminating human errors, and bringing value to the organization.
KDnuggets
NOVEMBER 26, 2019
A guide to build a content-based movie recommender model based on NLP.
DataRobot
NOVEMBER 26, 2019
If you’ve got tons of data but haven’t actually deployed models to real-life use cases, then what’s the point? How can your organization grow and make a difference? Organizations around the world want to make better predictions faster but are held back by manual processes and lack of resources. Healthfirst was in this exact position.
Tableau
NOVEMBER 24, 2019
Jason Dudek. Senior Partner Development Manager. Kevin Glover. Director, Product Management, Tableau. Spencer Czapiewski. November 25, 2019 - 4:39am. November 22, 2022. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Smart Data Collective
NOVEMBER 29, 2019
Big data is changing the future of the SEO profession. We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. Big data can make it easier to provide a more personalized user experience, which is key to ranking well in Google these days.
KDnuggets
NOVEMBER 29, 2019
Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.
Depends on the Definition
NOVEMBER 23, 2019
If you are dealing with a large collections of documents, you will often find yourself in the situation where you are looking for some structure and understanding what is contained in the documents. Here I’ll show you a convenient method for discovering and understanding clusters of text documents.
Tableau
NOVEMBER 24, 2019
Jason Dudek. Senior Partner Development Manager. Kevin Glover. Senior Product Manager, Tableau. Spencer Czapiewski. November 25, 2019 - 4:39am. November 16, 2021. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Smart Data Collective
NOVEMBER 26, 2019
Artificial intelligence is intended to mimic the behavior of humans. However, AI technology can be applied in reverse – it can be used to change human behavior. There are a number of reasons AI can be great for social engineering, especially in the field of marketing. Julita Vassileva, a Professor at the University of Saskatchewan in Canada wrote a great paper on AI for Human Learning and Behavior.
KDnuggets
NOVEMBER 25, 2019
In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.
KDnuggets
NOVEMBER 29, 2019
PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.
KDnuggets
NOVEMBER 26, 2019
This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Expert insights. Personalized for you.
400 
Let's personalize your content