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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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 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 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.
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?
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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
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.
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.
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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 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.
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
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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 4, 2019
The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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.
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.
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 6, 2019
This guide explores research centered on a variety of advanced loss functions for machine learning models.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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 8, 2019
Data Science is pitched as a modern and exciting job offering high satisfaction. Does its reality really live up to the hype? Here, we show what it's really like to work as a Data Scientist.
KDnuggets
NOVEMBER 6, 2019
Neebo is a SaaS solution that enables analytics teams to connect to, find, combine and collaborate on trusted data assets in hybrid cloud landscapes, and provides a unified access point where they can more effectively leverage all their analytics assets and knowledge. In this blog, we will highlight some of the features of Neebo and how they can completely transform the way analytics teams operate.
KDnuggets
NOVEMBER 6, 2019
Follow these eight headings of an audit sheet that business analysts should address before submitting the results of their analytics project. One recommended approach is to rewrite each step as a question, answer it, and then attach it to your project.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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