Analytics Vidhya
OCTOBER 2, 2019
Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 30, 2019
This article will introduce the different type of data sets, data object and attributes.
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Dataconomy
OCTOBER 2, 2019
Netflix excels at attracting users to its platform and hooking them on to the content it provides. For several years, pharmaceutical companies have wanted to achieve the same thing with specialised medical content. But is it that easy to transfer the “Netflix principle” to the pharmaceutical industry? What kind of. The post The Medflix Principle : How to use curated content for healthcare appeared first on Dataconomy.
Eugene Yan
OCTOBER 2, 2019
Keynote on how Asia's tech giants scale and their SuperApp strategy.
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.
Analytics Vidhya
SEPTEMBER 29, 2019
Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data. The post Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python appeared first on Analytics Vidhya.
KDnuggets
OCTOBER 2, 2019
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
SEPTEMBER 28, 2019
Amazon and Coursera have teamed up to create Getting Started with AWS Machine Learning. Topics covered are: Machine Learning. Computer Vision. NLP. Amazon Sagemaker. Happy Learning!
Analytics Vidhya
SEPTEMBER 30, 2019
Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
Smart Data Collective
OCTOBER 1, 2019
What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.
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.
Data Science 101
OCTOBER 2, 2019
A few weeks ago, I attended my first SQLSaturday event. I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews. I sat down with John Byrnes and we discussed: Where has SQL taken his career? What does the SQLSaturday community mean to him? Why should someone attend a SQLSaturday event? SQLSaturday Interview with John Byrnes.
DataRobot
SEPTEMBER 30, 2019
Data is the fuel that drives high-scale innovation with AI. Enterprises that put a strategy in place encouraging a culture of collaboration and sharing of their data assets will benefit the most. These organizations will see exponential gains in productivity with AI. Their employees will work together on projects, sharing their ideas, things they create, and their domain expertise.
KDnuggets
SEPTEMBER 30, 2019
Three new releases that will help researchers streamline the implementation of reinforcement learning programs.
Smart Data Collective
OCTOBER 3, 2019
Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. One of the ways that businesses can gain an edge is with digital marketing strategies that hinge on big data.
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
Explosion
OCTOBER 1, 2019
Version 2.2 of the spaCy Natural Language Processing library is leaner, cleaner and even more user-friendly. In addition to new model packages and features for training, evaluation and serialization, we’ve made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on disk. While we’re grateful to the whole spaCy community for their patches and support, Explosion has been lucky to welcome two new team members who deserve special credit for the recen
DataRobot
OCTOBER 1, 2019
This blog is meant to be a fun and unique take on predicting the 2019 MLB World Series winner.
KDnuggets
OCTOBER 1, 2019
Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master's courses to better support and train students.
Smart Data Collective
OCTOBER 4, 2019
Smart cities are the future of our urban centers, and even of suburbs and small towns – and this transformation is critical. Equipped with sensors and constantly collecting data, this tech revolution aims to make crowded cities more efficient, keep residents safer, and even help protect our environment through resource management. Making this shift, however, will require big investments on the part of both government bodies and businesses.
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.
Explosion
OCTOBER 1, 2019
Version 2.2 of the spaCy Natural Language Processing library is leaner, cleaner and even more user-friendly. In addition to new model packages and features for training, evaluation and serialization, we've made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on disk.
DataRobot
SEPTEMBER 30, 2019
In release 5.2 , DataRobot brings the next-generation of automated feature engineering capabilities to its flagship Automated Machine Learning and Automated Time Series products.
KDnuggets
OCTOBER 4, 2019
This is it: the last SQL guide for data analysis you'll ever need! OK, maybe it’s actually the first. But it’ll give you a solid head start.
Smart Data Collective
SEPTEMBER 30, 2019
Big data is changing the entire nature of decision-making across organizations of all sizes. Companies on either side of the world have identified countless applications for big data, which is helping them save considerable amounts of money and get better ROIs from various assets. Big Data is the Foundation of Modern Decision-making. These days, 92% of businesses are using data and analytics to gain greater insights into marketing.
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?
KDnuggets
SEPTEMBER 30, 2019
This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.
KDnuggets
OCTOBER 4, 2019
Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting the latest technological advancements and industry application methods in the field of deep learning.
KDnuggets
OCTOBER 1, 2019
We show what metric to use for visualizing and determining an optimal number of clusters much better than the usual practice — elbow method.
KDnuggets
OCTOBER 1, 2019
There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.
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
KDnuggets
OCTOBER 3, 2019
There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand. Below, I've listed out some of the steps that one should adopt while solving a machine learning problem.
KDnuggets
SEPTEMBER 30, 2019
In advance of the Data Science Salon taking place in Seattle on Oct 17, we asked our speakers to shed some light on how Artificial Intelligence and Machine Learning are impacting one of America’s most disruptive industries. Read for more insight, and then register with KDnuggets exclusive link for 20% off tickets.
KDnuggets
OCTOBER 4, 2019
In this guide, we will explore a range of research papers that have sought to solve the challenging task of automating neural network design.
KDnuggets
OCTOBER 3, 2019
While AI may appear magical at times, these five principles will help guide you to avoid pitfalls when leveraging this tech.
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!
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