KDnuggets
NOVEMBER 5, 2019
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.
Analytics Vidhya
NOVEMBER 3, 2019
Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to. The post 6 Exciting Open Source Data Science Projects you Should Start Working on Today appeared first on Analytics Vidhya.
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Dataconomy
NOVEMBER 4, 2019
By leveraging Data Science, AI, and other digital technologies, the healthcare industry could build complementary health solutions that are personalized to the specific needs of patients. Here is how and why. The world population grows by more than 80 million per year, according to a 2017 report by the United Nations. The post Transforming Patient Health: The Power of Data Science in Pharmaceuticals appeared first on Dataconomy.
Data Science 101
NOVEMBER 7, 2019
Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Here they are in my order of importance (based upon my opinion). Azure Synapse. I think this announcement will have a very large and immediate impact. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake.
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 4, 2019
The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.
Analytics Vidhya
NOVEMBER 6, 2019
Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance 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 6, 2019
Smart cities are gaining popularity across the world thanks to the convenience and efficiency they bring to citizens, visitors, and government leadership. Smart city technology can use data to revolutionize what it means to live and work in a city. First, however, we need the right kind of storage solutions to make all these proposed features functional.
KDnuggets
NOVEMBER 7, 2019
This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.
Analytics Vidhya
NOVEMBER 5, 2019
Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from. The post Learn How to Perform Feature Extraction from Graphs using DeepWalk appeared first on Analytics Vidhya.
DataRobot
NOVEMBER 8, 2019
Back when I was doing my undergraduate degree, I remember being asked to proofread a friend’s economics essay. I didn’t make it past the first paragraph before spotting the surprising phrase “John Maynard Keynes' work was impotent.” While there was a possibility that my friend wanted to criticize Keynes’ work, the remainder of the essay was pro-Keynes.
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 7, 2019
Big data is playing a very important role in the future of branding. Last year, Samantha Bhargav wrote a great article on ways big data can help with branding strategies. There are a number of benefits, as Bhargav points out. One of the biggest is customer-centric marketing. Ways that Big Data Promotes Stronger Branding Practices. Whether you are a brand that has just started off or a brand that has become a dominant force over the years, the same core principles are going to determine whether y
KDnuggets
NOVEMBER 4, 2019
Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.
Analytics Vidhya
NOVEMBER 4, 2019
Data engineers are a rare breed. Without them, a machine learning project would crumble before it starts. Their knowledge and understanding of software and. The post Master Data Engineering with these 6 Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.
DataRobot
NOVEMBER 5, 2019
With time-poor consumers, grocery shopping is a hectic but necessary chore. Retailers provide a huge array of choices for every type of product from cereal to dish soaps. With so many options available, grocery shopping can be an overwhelming experience. How can any type of retailer ensure that their customers get the products they need while also having a positive and enjoyable experience?
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 7, 2019
ISPs are using data analytics in a variety of ways. Many consumers may be concerned about this, because they are known to exploit customer data. However, they use data in a number of benevolent ways, which many people will be okay with. Pew Research has shown most customers are okay with companies collecting their data if it is used for holistic purposes.
KDnuggets
NOVEMBER 4, 2019
Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.
Explosion
NOVEMBER 8, 2019
“Artificial intelligence” is everywhere in the headlines. Many futuristic-sounding things suddenly seem possible. It’s not easy to judge what all these technological advances mean. What is hype and what really works? And how should we imagine the future?
DataRobot
NOVEMBER 7, 2019
What good is a machine learning model if you don’t understand what it is, how it works, or how to leverage it? Bill Surrette, Data Scientist at DataRobot, explains the importance of model interpretability in this AI Simplified video.
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 6, 2019
Big data and cannabis are two seemingly different concepts. However, the two industries tie in very well with each other. CBD companies are relying more on big data than ever before. In June, Nicole Martin wrote a very detailed article for Forbes on the role of big data in operations management for the cannabis industry. “Data helps to drive every industry now.
KDnuggets
NOVEMBER 7, 2019
In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.
Victor Zhou
NOVEMBER 8, 2019
EDIT: We did it - Sendy has released a patch (v4.0.3.3) for this issue! I recommend upgrading if you’re affected. Thanks to Sendy for the quick response to this blog post, and thanks to every reader who helped make this happen. A few months ago, I switched from Mailchimp to Sendy , a self-hosted email newsletter alternative. I wrote a whole post about why I switched from Mailchimp to Sendy , but the gist is that Mailchimp got too expensive too fast.
DataCentric podcast
NOVEMBER 7, 2019
NetApp is about more than just about on-prem enterprise storage. They are changing with the industry as it embraces HCI, Cloud Native, and Kubernetes as part of the Data Fabric. This is critical to the company's strategy. We had the chance to sit separately with NetApp's SVP & GM of Cloud Native (which includes its Kubernetes/Containers activity) Anthony Lye to talk about how NetApp and its enterprise customers view that space, as well as how they are evolving from an "on-prem fi
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 7, 2019
The benefits of predictive analytics for businesses are numerous. Most case studies and industry advice columns focus on improved cost effectiveness, the propensity for innovation and the ability to reach new customers. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention.
KDnuggets
NOVEMBER 8, 2019
A boxplot. It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.
KDnuggets
NOVEMBER 7, 2019
Careful preprocessing of data for your machine learning project is crucial. This overview describes the process of data cleaning and dealing with noise and missing data.
KDnuggets
NOVEMBER 8, 2019
Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis.
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
NOVEMBER 6, 2019
This guide explores research centered on a variety of advanced loss functions for machine learning models.
KDnuggets
NOVEMBER 5, 2019
The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.
KDnuggets
NOVEMBER 6, 2019
My short answer is this: Yes, another AI Winter will be here if you don’t deploy more ML solutions. You and your Data Science teams are the last line of defense against the AI Winter. You need to solve five key challenges to keep the momentum up.
KDnuggets
NOVEMBER 8, 2019
Data Natives is an outstanding conference that lets you meet many talented Data Scientists and Data Professionals. Find your dream company or your dream employee and level up for 2020. Use code DN19_KDNuggets_50 to save.
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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