The hottest Data Analysis Substack posts right now

And their main takeaways
Category
Top Technology Topics

DRAFT: Notes: What Is the Techno-Optimist Slant on “AI”?

Brad DeLong's Grasping Reality • 169 implied HN points • 14 Mar 24
🕹 Technology AI Machine Learning Data Analysis Tech industry Digital Transformation
  1. Very large-scale, high-dimension regression and classification analysis will be game-changing, transforming bureaucracy to algorithms with significant impacts across sectors from finance to healthcare.
  2. Natural-language interfaces to databases may be challenging to control but offer more intuitive access to vast information repositories, potentially enhancing user efficiency.
  3. Autocomplete technology provides substantial time savings for white-collar workers, illustrating the significant productivity boost modern technologies can offer.

Python Streamlit Spotlight: An Interactive Look At UNHCR Refugee Data

Data at Depth • 39 implied HN points • 09 May 24
🕹 Technology Data Visualization Data Analysis Coding Web Development
  1. Python Streamlit is a powerful tool for creating interactive data visualizations packaged neatly into applications that can be displayed in a browser.
  2. The project highlighted step-by-step modular development to create an application with dropdown menus, radio buttons, and choropleth maps for visualizing UNHCR refugee data.
  3. The interactive Streamlit dashboard allows users to explore both where asylum seekers are going to and where asylum seekers are coming from, offering a detailed look at global refugee movements.

Daily Chartbook #393

Daily Chartbook • 183 implied HN points • 02 Mar 24
💰 Finance Investing Markets Data Analysis
  1. Daily Chartbook provides 30 charts to summarize the day's events for paid subscribers.
  2. The content on Daily Chartbook can be accessed through a subscription link on their website.
  3. To view specific posts on Daily Chartbook, individuals need to be paid subscribers.

Project Tailwind

Adjacent Possible • 538 implied HN points • 11 May 23
🕹 Technology Product Development Artificial Intelligence Information Management Content creation Data Analysis
  1. Project Tailwind is an experimental 'tool for thought' being developed with Google
  2. Project Tailwind uses a 'source-grounded AI' approach to assist with research and information exploration
  3. Features of Project Tailwind include creating on-the-fly glossaries and suggesting additional product features based on uploaded materials
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Pixxel: Earth's Honest Mirror

Tigerfeathers! • 24 implied HN points • 07 Nov 24
🕹 Technology Space Exploration Satellite Technology Aerospace Engineering Data Analysis
  1. Pixxel is developing a fleet of satellites with special cameras that can see details beyond what regular cameras can, helping monitor Earth's health and detect issues like pollution and crop problems.
  2. The founders of Pixxel, Awais and Kshitij, began their journey in college and faced many challenges, including launch failures and funding issues, but they remained determined and adapted their business strategy.
  3. Pixxel aims not just to serve Earth, but eventually wants to use their technology for exploring resources in space, showing how their ambitions go far beyond just satellite imaging.

Dashing Data Viz - Issue 229

Dashing Data Viz • 176 implied HN points • 14 Mar 23
🕹 Technology Data Visualization Data processing Data Analysis Online Learning
  1. The newsletter shares articles and videos on data visualization, like creating gradient line charts in R and using Tableau for interactive dashboards.
  2. There are resources available for learning new skills in data visualization, such as an online course on Intro to R for Data Viz.
  3. The newsletter also highlights interesting projects like visualizing the first 5,000 digits of Pi and provides resources for further reading on topics like data hierarchy best practices.

Retention Analytics - the definitive guide

timo's substack • 176 implied HN points • 12 Mar 23
🕹 Technology Analytics Retention Data Analysis
  1. Focus on retention rate, especially first-week retention for free users, as a key metric for product analytics
  2. Retention analytics require solid user identification to track if users are returning and engaging with your product
  3. Measure retention with cohorts to understand performance over time, highlighting improvements or decreases in user retention

How to Read an AI Image

Cybernetic Forests • 379 implied HN points • 02 Oct 22
🔬 Science AI Data Analysis Image Generation Bias Art
  1. AI-generated images are informative about the underlying dataset and the human decisions shaping it.
  2. When analyzing AI images, it's crucial to consider the dataset's cultural, social, economic contexts, and how they influence the output.
  3. A methodology involving creating sample sets, content analysis, database exploration, and connotative analysis can help interpret the underlying biases and limitations in AI-generated images.

The DX Core 4 Framework

Fish Food for Thought • 11 implied HN points • 11 Dec 24
🕹 Technology Software Development Productivity Metrics Engineering Practices Data Analysis
  1. The DX Core 4 Framework helps companies measure developer productivity by looking at four main areas: Speed, Effectiveness, Quality, and Impact. This balanced approach provides a complete picture of how well teams are performing.
  2. It includes a Developer Experience Index (DXI) that shows how developers feel about their work, helping identify areas for improvement. This means companies can catch issues before they become bigger problems.
  3. The framework focuses on connecting developer productivity to business goals, making it easier for all levels of the organization to understand how engineering work impacts the company's success.

Quant Letter: January 2025, Week-2

The Parlour • 4 implied HN points • 09 Jan 25
💰 Finance Machine Learning Investing Economics Data Analysis
  1. Quant finance uses advanced math and data analysis to make investment decisions. It's all about finding patterns in numbers to predict market trends.
  2. Machine learning is becoming increasingly important in finance. It helps in automating processes and analyzing large amounts of data quickly.
  3. Staying updated with recent research and findings in quant finance can provide valuable insights. It's key to adapt and grow in this fast-changing field.

What Are Eight Games in the Premier League Really Worth?

No Grass in the Clouds • 179 implied HN points • 20 Oct 23
🎾 Sports Soccer Premier League Data Analysis Team performance Predictions
  1. Expected goals (xG) are a powerful indicator of team quality and future performance in the Premier League.
  2. The ultimate title winner in the Premier League often has the best xG differential at even strength.
  3. Looking at xG differentials can provide insights into the top-four race in the Premier League.

A look at the Exploit Prediction Scoring System (EPSS) 3.0

Resilient Cyber • 219 implied HN points • 31 Jul 23
🕹 Technology Cybersecurity Vulnerability Management Data Analysis Risk Assessment Software Development
  1. EPSS 3.0 helps security teams focus on the vulnerabilities that are most likely to be exploited soon. This makes managing vulnerabilities easier and more efficient.
  2. Many organizations struggle to fix all their vulnerabilities and often end up wasting time on those that are rarely exploited. EPSS aims to change that by identifying threats more accurately.
  3. The new version of EPSS shows a big improvement in predicting which vulnerabilities are at risk. This means companies can spend less time on unimportant issues and focus on what really matters.

Ask questions about your single cell data with natural language

LatchBio • 11 implied HN points • 12 Dec 24
🕹 Technology Biotech Data Analysis Machine Learning Cloud Computing
  1. Single cell sequencing helps scientists understand individual cells better. This technique is key for studying diseases and biological processes.
  2. Bench scientists need simple tools to analyze single cell data without needing extensive computational skills. This will help them work more independently and quickly.
  3. Providing scientists with easy access to their data will lead to new questions and insights in research. This can improve drug development and other important biological discoveries.

Farming Risks, Fees and Crypto Information Sources

DeFi Education • 1298 implied HN points • 11 Jul 21
🔮 Crypto DeFi Investing Security Data Analysis Market Trends
  1. There are major risks in DeFi farming like smart contract failures and rug pulls. It's important to be aware of these risks before investing.
  2. Fees can add up quickly when using DeFi projects, so timing your transactions wisely can help save money.
  3. Finding reliable data about DeFi projects is hard, and many sources might not give accurate information. It's crucial to do your own research before investing.

A look at Threads and what it means for the industry[Finance Fridays]

Technology Made Simple • 159 implied HN points • 08 Jul 23
🕹 Technology Social media Tech industry Data Analysis Monetization Artificial Intelligence
  1. Understanding the difference between Vertical and Horizontal Integration is crucial in business. Horizontal Integration can offer leverage and streamline processes within an organization.
  2. Threads, Meta's new app, has the potential to tap into academic circles on Twitter by addressing its mobile-only flaw. This could change user engagement dynamics and impact monetization.
  3. Social media platforms like Threads can be powerful tools for controlling public discourse and information flow. Meta's investment in the Metaverse is seen as a strategic move for the future.

Assessing the ROI of Data

The Data Score • 98 implied HN points • 03 Jan 24
💼 Business Data Analysis Data products
  1. Raw data is a cost; insights have value. The process of transforming raw data into insight-ready data is crucial for generating value.
  2. Assess the return on investment in data by considering how many decisions can be influenced and understanding the limitations of the data. Data that positively impacts decisions increases its value.
  3. Understand the cost of data investment, including sourcing, loading, and transforming data. Consider the ease of integrating data and the importance of insights generated over time.

Erika Update #10: Honestly, it’s often faster to do it by hand

Erika’s Newsletter • 157 implied HN points • 20 Jun 23
🔬 Science Biology Technology Data Analysis Research Programming
  1. Sometimes doing tasks by hand can be faster than trying to automate them with scripts.
  2. Automating tasks may not always be worth the effort if the tools or processes are not complete or efficient.
  3. Overcomplicating things with automation can lead to wasted time and effort if the benefits are not substantial.

Find Optimal Learning Rates for Stable Diffusion Fine-tunes

followfox.ai’s Newsletter • 157 implied HN points • 13 Mar 23
🕹 Technology Machine Learning Data Analysis Experimentation Optimization Model Training
  1. Estimate the minimum and maximum learning rate values by observing when the loss decreases and increases during training.
  2. Choosing learning rates within the estimated range can optimize model training.
  3. Validating learning rate ranges and fine-tuning with different datasets can improve model flexibility and accuracy.

La prova di DreamStudio e SDXL 1.0

Vincos Newsletter • 157 implied HN points • 28 Jul 23
🕹 Technology AI Blockchain Social media Tech Companies Data Analysis
  1. A new version of Stable Diffusione, SDXL 1.0, was released and tested through DreamStudio.
  2. Twitter's branding changes and Elon Musk's ambitious transformation plans are generating discussions.
  3. Netflix and Disney are seeking machine learning experts for content production as actors express concerns about being replaced by digital simulations.

How Intelligent is the Average Rationalist?

sebjenseb • 157 implied HN points • 03 Jul 23
🔬 Science Research Data Analysis Statistical Analysis Psychometrics
  1. The average IQ of rationalists may not be as high as self-reported values suggest, with estimates pointing to an average IQ between 125-130.
  2. Analysis of SAT and IQ scores of rationalists indicates an estimated average IQ of about 133.6 after accounting for biases.
  3. Educational attainment and plausible assumptions suggest the average IQ of internet rationalists is between 125-130, considering selection for educational attainment.

Can AI Identify an Author’s Background from a Writing Sample?

Jakob Nielsen on UX • 5 implied HN points • 09 Jan 25
🕹 Technology AI Writing User Experience Data Analysis Language processing
  1. Current AI tools struggle to accurately determine someone's background from their writing. They often miss subtle clues that could reveal a person's origin.
  2. Different AI models can give varying guesses about an author's background. Some might guess English native speakers or Americans when the real background is different.
  3. To test AI's ability, you can try analyzing your own writing through an AI tool. It can be fun to see if the AI gets your background right!

RLHF progress: Scaling DPO to 70B, DPO vs PPO update, Tülu 2, Zephyr-β, meaningful evaluation, data contamination

Democratizing Automation • 213 implied HN points • 22 Nov 23
🕹 Technology AI Deep Learning Research Data Analysis Models
  1. Reinforcement learning from human feedback (RLHF) is a technology that is still unknown and undocumented.
  2. Scaling DPO to 70B parameters showed strong performance by directly integrating the data and using lower learning rates.
  3. DPO and PPO have differences in their approaches, with DPO showing potential for enhancing chat evaluations and happy users of Tulu and Zephyr models.

The Future of AI Diplomacy: Can The State Department Grok AI?

ChinaTalk • 133 implied HN points • 04 Mar 24
🇺🇸 U.S. Politics Diplomacy Transparency Government National Security Data Analysis
  1. AI can enhance diplomacy by streamlining bureaucratic tasks, providing accurate data for negotiations, and improving analysis processes.
  2. Risk management in the State Department varies for different tasks: while tasks like HR and IT services can run faster to match the private sector, activities like foreign assistance and passport services require a higher burden due to their public impact.
  3. Strategic use of transparency can be a strength for the U.S. in diplomacy, as seen in the Biden administration's doctrine. Leveraging transparency internally and externally can have strategic advantages over closed societies.

Berkson's Paradox Is Everywhere

Outlandish Claims • 19 implied HN points • 12 Jun 24
🔬 Science Statistics Mathematics Genetics Data Analysis Technology
  1. Berkson's Paradox applies to various situations where multiple factors influence outcomes, leading to counterintuitive results.
  2. Applying Berkson's Paradox to different scenarios can reveal hidden correlations and insights, such as in medical studies, card games, or economic policies.
  3. The essence of Berkson's Paradox lies in understanding that when focusing on a specific subcategory, the causes of membership in that category can be more negatively correlated than in the broader category.

Getting to the Root of Engineering Improvement with DORA Core

Dev Interrupted • 177 implied HN points • 04 Jan 24
🕹 Technology Development Research Data Analysis Continuous Improvement
  1. DORA Core offers a concise framework of capabilities, metrics, and outcomes to help teams apply research findings.
  2. DORA constantly updates its methodology to keep pace with technological changes and evolving practices.
  3. The DORA Core model shows how capabilities predict performance, which then predicts outcomes, aiding in continuous improvement efforts.

Daily Brief: MECE & Hilbert Spaces

Math Meets Money • 4 HN points • 21 Aug 24
💼 Business Consulting Finance Data Analysis Market research Customer Insights
  1. The MECE principle helps organize complex data into clear categories that have no overlap. This is crucial for making sense of complicated systems, like businesses or markets.
  2. In business, customer demographics can be viewed as various sets that can show how different characteristics are related. Understanding these relationships can help companies better target their products.
  3. Using concepts from physics, like Hilbert spaces, can help refine how businesses analyze and transform customer data. This approach can lead to better insights into customer preferences and behaviors.

Analysing Tech Layoffs

CAUSL Effect • 1 HN point • 17 Sep 24
💼 Business Tech Layoffs Employment Trends Data Analysis Company strategy Economic Impact
  1. Over half a million workers have faced layoffs in the tech industry, showing how tough the job market can be right now.
  2. The data suggests that roles in product management, design, and research faced much higher layoff rates compared to engineering positions.
  3. These layoffs were often driven by companies needing to cut costs quickly due to changing market conditions, not by the employee's performance.

3 Common Statistical Biases Everyone Falls Prey To [Math Mondays]

Technology Made Simple • 139 implied HN points • 25 Apr 23
🔬 Science Statistics Cognitive Psychology Bias Data Analysis
  1. Statistics can be misleading if affected by bias, which is a flaw in experiment design or data collection process.
  2. Biases affect everyone and can be exploited by manipulative individuals like politicians and salespeople.
  3. Common statistical biases include selection bias, recall bias, and observer bias, which can all be combated by slowing down and evaluating claims carefully.

Guide to Anonymous Identity Resolution

Sarah's Newsletter • 139 implied HN points • 15 Aug 23
🕹 Technology Web applications Data Analysis
  1. Fully personalized user journeys rely on correlating anonymous source events to authenticated users.
  2. Identity resolution involves collecting anonymous visitor data, mapping them to authenticated users, and merging duplicate accounts.
  3. Implementing event tracking through cookies and URL parameters is crucial for resolving identities across applications and domains.

Near Miss Reports: What schools can learn from the zero fatality goal in aviation

School Shooting Data Analysis and Reports • 79 implied HN points • 16 Jan 24
🚌 Education Safety Data Analysis School Shootings Prevention Mental health
  1. Aviation emphasizes near-miss reporting to enhance safety by openly sharing incidents that almost caused harm.
  2. Schools can learn from aviation by implementing a similar culture of prioritizing safety and reporting near misses, as demonstrated in the case of a school shooting incident in South Dakota.
  3. Defining near misses in the context of school shootings involves factors like detailed plans, multiple weapons, excessive ammunition, gun malfunctions, and successful interventions.

A Different Approach to Revenue Estimates Leveraging Alternative Data

The Data Score • 138 implied HN points • 24 May 23
💰 Finance Investment Data Analysis Market research Customer Behavior Forecasting
  1. Leveraging alternative data for revenue estimates goes beyond traditional transaction data, focusing on customer acquisition and retention insights.
  2. Applying the customer acquisition funnel framework to alternative data can help identify early trends and potential growth issues in a business.
  3. Monitoring the journey from awareness to loyalty using alternative data sets can offer valuable insights for predicting sustainable revenue growth beyond the short term.

Measuring Marketing Performance

Making Connections by Jax • 137 implied HN points • 12 Jun 23
💼 Business Marketing Advertising ROI Data Analysis Digital Advertising
  1. Marketing attribution is becoming more challenging due to privacy regulations like Apple's App Tracking Transparency.
  2. Marketing Mix Modelling (MMM) provides a top-down approach to understanding ROI by analyzing historical data and external influences.
  3. Lift tests offer a bottom-up method to prove causation in marketing effectiveness, requiring experimentation with test and control groups.