by jsendak | Jun 1, 2025 | DS Articles
In today’s post, we’ll see how to use rush and the probabilistic survival analysis API provided by techtonique.net (along with R and Python) to plot survival curves . Note that the web app also contains a page for plotting these curves, in 1 click. You can also read this post for more Python examples.
First, you’d need to install rush. Here is how I did it:
cd /Users/t/Documents/Python_Packages
git clone https://github.com/jeroenjanssens/rush.git
export PATH="/Users/t/Documents/Python_Packages/rush/exec:$PATH"
source ~/.zshrc # or source ~/.bashrc
rush --help # check if rush is installed
Now, download and save the following script in your current directory (note that there’s nothing malicious in it). Replace AUTH_TOKEN below by a token that can be found at techtonique.net/token:
Then, at the command line, run:
./2025-05-31-survival.sh
The result plot can be found in your current directory as a PNG file.
Continue reading: Which patient is going to survive longer? Another guide to using techtonique dot net’s API (with R + Python + the command line) for survival analysis
Analysis of Using Rush and the Probabilistic Survival Analysis API with R and Python
The primary focus of the text is on using rush and the probabilistic survival analysis API provided by techtonique.net in conjunction with R and Python to plot survival curves. Other highlights of the text include the steps involved in installing ‘rush’ and utilizing it, as well as how to generate a result plot using these tools.
Long-Term Implications and Future Developments
Understanding survival analysis via multiple programming languages and tools like rush, R, and Python, combined with specific survival analysis API, streamlines critical data analysis tasks in healthcare, finance, and various other industries. In the long term, the ability to plot survival curves swiftly and conveniently can significantly enhance predictive decision-making processes.
At the core of such future developments is a continuous advancement in related technologies and tools. As the probabilistic survival analysis API of techtonique.net evolves, implementing more sophisticated algorithms, so will the tools used alongside, such as R, Python, and rush, to leverage these enhancements. We may anticipate significant improvements in predictive modelling and data visualization, that could lead to better survival analyses, amongst others.
Actionable Advice
Improving Skill Set
If you regularly deal with survival analysis, it would benefit you to become proficient in using multiple tools, including rush, R, and Python. Training yourself in these tools will increase your efficiency and expand your analytical capabilities. Consider taking some online courses or attending workshops to improve your know-how in using these programming languages.
Continuous Updates
Regularly update your version of rush, R, Python, and the probabilistic survival analysis API by techtonique.net to leverage the latest capabilities added. Ensure you update all these tools in a compatible manner to avoid any compatibility issues.
Validation of Scripts
Even though it was mentioned that “there’s nothing malicious” in the script provided in the text, it’s a good practice to always verify and validate any scripts before downloading and running them. This step ensures minimized risk to your data and systems.
Authenticity Check
Replace the AUTH_TOKEN used in the script with a token provided by techtonique.net. This precaution ensures the integrity of your operations and keeps your analysis accurate and authentic.
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by jsendak | Jun 1, 2025 | DS Articles
Build and fine-tune XGBoost models entirely online — no installations, just data, tuning, and results inside your browser.
The Future of XGBoost Modelling: Embracing Online Functionality
Not too long ago, the procedure of constructing and fine-tuning a Machine learning model meant installing a lot of software, a plethora of data wrangling, and plenty of computation power. However, the dawn of online functionalities, a case in point being the building and tuning of XGBoost models entirely online, is revolutionizing this process. Now, all that is necessary is data, tuning, and results inside your browser, eliminating the need for installations.
Long-Term Implications
Greater Accessibility
This development implies that more people will have the ability to learn, experiment with, and leverage machine learning. By eliminating installation constraints and software costs, this democratizes access to machine learning tools and propels open-source culture.
Increased Efficiency
Hosting the XGBoost models on the web increases efficiency by eliminating the need for local computation resources. This means data scientists can spend more time fine-tuning models and less time managing resources or dealing with technical maintenance.
New Business Opportunities
The transition to a web-based model also opens up new business opportunities, such as the creation of SaaS (Software as a Service) platforms for Machine Learning. Companies could offer premium services for advanced features, analytics and more robust computational power.
Potential Future Developments
A look at this trend hints at several promising future developments:
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Further Streamlining: Optimization of the online platforms will result in user-friendly interfaces and a streamlined experience for model builders. Machine Learning could become even more straightforward.
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Expanded Offerings: Other machine learning models may become web-based, further expanding the range of tools that data scientists have at their disposal.
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Advanced Integrations: As more processes move online, there will likely be an increase in advanced integrations between various tools and platforms, creating a more connected, efficient environment.
Actionable Advice
Leverage the Benefits
The shift to web-based machine learning tools like XGBoost presents new opportunities. Data scientists and businesses should leverage these for increased efficiency and cost-effectiveness. It is advisable to stay updated on developments and embrace these tools to streamline machine learning endeavors.
Invest in Learning
Given that more machine learning tools are becoming accessible and user-friendly, investing in learning these tools could prove profitable for professionals and businesses alike. Online courses, webinars and tutorials could be a good starting point.
Anticipate Changes
With the rapid evolution of technology, it is crucial to anticipate changes in the industry. Keeping an eye on new integrations, features, and services will help data scientists and businesses stay one step ahead and fully leverage the potential of this trend.
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by jsendak | Jun 1, 2025 | DS Articles
This post breaks down the biggest threats to enterprise communication and succinctly walks you through the strategies that actually work.
Addressing the Biggest Threats to Enterprise Communication
Enterprise communication forms the backbone of any business. In fact, decisive communication lies at the heart of successful project completion, team collaboration, customer service, and eventually, business growth. However, like any other business procedure, enterprise communication also bristles with a host of threats that pose a challenge to its effectiveness. This article decodes the crucial threats to enterprise communication and provides strategic recommendations to navigate them.
Understanding the Threats
Deciphering the key issues disruptive to enterprise communication is primary before it’s turn to curative measures. These hazards can span from technical glitches to human errors, to even strategic missteps:
- Technical issues like software malfunction
- Human errors like miscommunication
- Strategical mistakes like lack of effective communication channels
Deploying Effective Strategies to Overcome Threats
Once identified, this threat can be strategically dealt with a flexible approach, including technological solutions, training and development programs, and communication channels enrichments.
Employ Technological Solutions
Technological solutions like enterprise communication software and AI-powered chatbots can eliminate the technical issues disrupting the communication flow.
Implement Training and Development Programs
Training and development programs can rectify human errors in communication. Such programs can educate employees about effective ways of communication, hence reducing miscommunication errors.
Enrich Communication Channels
Companies should analyze existing communication channels and work towards their improvement. This can include introducing more efficient tools, improving the accessibility of tools, and offering seamless connectivity.
Long-term Implications and Possible Future Developments
The evolution of enterprise communication is likely to continue incessantly, paving the way for new strategies and technologies. It’s essential to stay vigilant and adapt to these changes. With the advent of technology in communication, we can envisage a future of seamless communication bereft of human and technical errors.
Holistic Views on Future Developments
“Companies will continue to leverage technology to transform their communication landscape. AI and machine learning will play an even more central role in streamlining communication.”
Actionable Advice
Navigating the threats to enterprise communication needs a proactive approach and strategic planning. Embracing technology, conducting regular training and development sessions, and enriching communication channels are the triad of strategies you can base your plan on. With these, communication in your enterprise will not only survive the threats but thrive in response to them.
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by jsendak | Jun 1, 2025 | Namecheap
Understanding the Potential of Blockchain Domains
In an ever-evolving digital landscape, the concept of ownership and security takes center stage, especially as the decentralized web unfolds before us. Blockchain technology has been pivotal in reshaping how we perceive digital transactions and interactions, and one of its most innovative applications lies within the realm of blockchain domains. This article delves into the intricate workings of blockchain domains, their implications for security and ownership, and the extensive ways they are moulding the decentralized web’s future.
The Mechanics of Blockchain Domains
Unlike traditional domain names, blockchain domains exist as entries on a distributed ledger or blockchain. These innovative domains bring forth a new paradigm for user agency, where individuals wield more control over their digital identities and content. We will peel back the layers of this complex mechanism, looking at how these domains are registered, resolved, and managed without centralized oversight.
Pillars of Security and Ownership
Security concerns loom large in the digital age, driving the quest for more robust systems. Blockchain domains offer an answer to this call by providing a secure means of establishing ownership over one’s digital space. We will explore the underlying technologies that fortify these domains against common threats, such as domain hijacking and censorship, and discuss the ways in which they empower users with unparalleled levels of ownership.
Shaping the Decentralized Web
The decentralized web promises a future with greater privacy, security, and equity in online interactions. Blockchain domains stand at the vanguard of this movement, providing a foundation for decentralized apps (dApps) and services. This section will examine the transformative potential blockchain domains hold for the Internet’s infrastructure, commerce, communication, and beyond.
“Blockchain domains are more than mere web addresses; they are the cornerstone of a new, decentralized digital edifice, erected upon the twin pillars of security and ownership.”
In conclusion, harnessing blockchain domains is about redefining the essence of digital territory in the cyber realm. Join us as we dissect the intricacies of these domains, their role in fortifying digital presence against external controls, and their vision for a decentralized online community. Whether you’re an enthusiast, an entrepreneur, or simply a curious netizen, understanding blockchain domains is key to navigating the future of the web.
Learn how blockchain domains work, why they matter for security and ownership, and how they’re shaping the future of the decentralized web.
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by jsendak | Jun 1, 2025 | Cosmology & Computing
The universe has always been a source of wonder and fascination for humanity. From ancient civilizations gazing up at the night sky to modern scientists studying the cosmos with advanced technology, the mysteries of the universe continue to captivate our imagination. In recent years, cosmologists have made significant strides in understanding the origins and evolution of the universe, shedding light on some of its most enigmatic aspects.
One of the most groundbreaking discoveries in cosmology is the theory of the Big Bang. This theory posits that the universe began as a singularity – a point of infinite density and temperature – around 13.8 billion years ago. From this initial explosion, the universe rapidly expanded and cooled, eventually giving rise to the galaxies, stars, and planets we see today. The Big Bang theory has been supported by a wealth of observational evidence, such as the cosmic microwave background radiation and the redshift of distant galaxies.
Another key concept in cosmology is the theory of dark matter and dark energy. These mysterious substances make up the majority of the universe’s mass and energy, yet they cannot be directly observed. Dark matter is thought to interact gravitationally with visible matter, holding galaxies together and influencing their motion. Dark energy, on the other hand, is believed to be responsible for the accelerated expansion of the universe. While much remains unknown about these enigmatic entities, cosmologists continue to study them in the hopes of unraveling their secrets.
Cosmologists have also made significant progress in understanding the structure and composition of the universe. Through observations of distant galaxies and the cosmic microwave background, scientists have been able to map out the distribution of matter and energy in the cosmos. They have found that the universe is composed of roughly 70% dark energy, 25% dark matter, and 5% ordinary matter – the stuff of stars, planets, and galaxies. By studying the large-scale structure of the universe, cosmologists have gained insights into its evolution over billions of years.
In recent years, advancements in technology have allowed cosmologists to probe even deeper into the mysteries of the universe. The development of powerful telescopes, such as the Hubble Space Telescope and the James Webb Space Telescope, has enabled scientists to observe distant galaxies and stars with unprecedented clarity. In addition, experiments such as the Large Hadron Collider have allowed researchers to study the fundamental particles and forces that govern the universe.
As our understanding of the universe continues to evolve, cosmologists are faced with new questions and challenges. From the nature of dark matter and dark energy to the ultimate fate of the universe, there is still much to learn about the cosmos. However, with ongoing research and technological advancements, we are closer than ever to unlocking the secrets of the universe and unraveling its mysteries. Exploring the cosmos is a journey that will continue to inspire and awe us for generations to come.
