The hottest Data Analysis Substack posts right now

And their main takeaways
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Top Technology Topics

GPT-4 captures judgments about semantic relatedness quite well

The Counterfactual • 59 implied HN points • 18 May 23
🕹 Technology Artificial Intelligence Natural Language Processing Cognitive Science Data Analysis
  1. GPT-4 is really good at understanding word similarities. In tests, it matched human opinions better than many expected.
  2. Sometimes GPT-4 thinks that certain words are more similar than people do. It tends to view pairs of words like 'wife' and 'husband' as more alike than humans generally agree on.
  3. Using GPT-4 for semantic questions could save time and money in research, but it's still important to include human input to avoid biases.

Creating a Security Posture Report for a Specific Azure Subscription

Rod’s Blog • 19 implied HN points • 13 Feb 24
🕹 Technology Cloud Computing Cybersecurity Data Analysis Documentation
  1. Creating a security posture report for a specific Azure subscription provides enhanced visibility into the security state of assets and workloads, aiding in identifying potential vulnerabilities.
  2. The report includes guidance for improvement with hardening recommendations to help efficiently enhance security posture.
  3. Azure Secure Score assists in prioritizing security recommendations for effective triage to enhance security posture and align with compliance standards.
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Using Microsoft Sentinel to Monitor, Detect and Alert Bad AI Content

Rod’s Blog • 39 implied HN points • 12 Oct 23
🕹 Technology AI Cybersecurity Data Analysis
  1. Microsoft Sentinel can be used to monitor and detect bad AI content, but it is important to consider whether it is the most efficient use of resources.
  2. Organizations may choose to ingest AI data into Microsoft Sentinel, create a watchlist of bad content, and set up alerts to detect issues.
  3. Responsibilities for handling AI content alerts can be appropriately assigned to HR or relevant teams, rather than overwhelming security teams.

Future of Digital health products with AI first strategy

healthviva • 39 implied HN points • 30 May 23
🏥 Health & Wellness AI Digital Health Healthcare Industry Data Analysis Medical Technology
  1. AI-powered digital health products can revolutionize healthcare by improving patient care and reducing costs.
  2. Key trends in the future of digital health products include personalizing healthcare with AI and automating tasks to free up healthcare professionals.
  3. Challenges in developing AI-powered digital health products include the lack of data and regulatory hurdles, despite opportunities for AI to enhance patient care, reduce costs, and improve healthcare delivery.

Must Learn KQL Part 4: Search for Fun and Profit

Rod’s Blog • 39 implied HN points • 31 May 23
🕹 Technology Data Analysis Cybersecurity
  1. The Kusto Query Language (KQL) search operator is a powerful tool for verifying the existence of certain elements within an environment.
  2. Using KQL for security purposes involves answering questions like 'Does it exist?', 'Where does it exist?', and 'Why does it exist?'
  3. KQL allows for detailed searches across specific tables in tools like Microsoft Office and Defender for Endpoint by leveraging wildcard characters.

Cross-workspace Query Best Practice for Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 17 Apr 23
🕹 Technology Cybersecurity Cloud Computing Data Analysis Social media
  1. Cross-workspace queries in Microsoft Sentinel are crucial for managing multiple workspaces or customers.
  2. When using cross-workspace queries, it is more efficient to use the workspace ID rather than names or fully qualified names.
  3. Workspace IDs can be found in the Overview pane of the Log Analytics workspace or using a KQL query in Azure Resource Graph Explorer.

The KQL Mysteries: Chapter 8

Rod’s Blog • 19 implied HN points • 06 Feb 24
🕹 Technology Security Data Analysis Coding Cybersecurity IT
  1. A major security breach has occurred with sensitive data stolen, leading to a need for urgent action to track down the threat actor.
  2. Jordan quickly jumps into action, using KQL queries to analyze data and identify patterns associated with the suspected threat actor.
  3. The story leaves readers with a cliffhanger, hinting at upcoming developments and ensuring engagement for the next chapter.

Randomization maximalism

inexactscience • 39 implied HN points • 09 Aug 23
🔬 Science Research Methods Data Analysis Decision-making Experimental Design
  1. Relying only on randomized experiments can be limiting. It's important to consider all types of evidence based on their quality.
  2. Not every decision needs a complex A/B test; sometimes simpler data or even gut feelings are enough.
  3. We should weigh the cost of getting reliable data against the value it provides. For some choices, high-quality data is a must, but for others, less rigorous information can do the job.

Adding Noise Improves RAG Performance

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 02 Feb 24
🕹 Technology AI Research Information Retrieval Machine Learning Language Models Data Analysis
  1. Adding irrelevant documents can actually improve accuracy in Retrieval-Augmented Generation systems. This goes against the common belief that only relevant documents are useful.
  2. In some cases, having unrelated information can help the model find the right answer, even better than using only related documents.
  3. It's important to carefully place both relevant and irrelevant documents when building RAG systems to make them work more effectively.

Why Doesn’t My Model Work?

The Gradient • 36 implied HN points • 24 Feb 24
🔬 Science Machine Learning Data Analysis Research Models Errors
  1. Machine learning models can sometimes seem good but fail when applied to real-world data due to complexities that cause overfitting without being obvious
  2. Issues with machine learning models are increasingly reported in scientific and popular media, impacting tasks like pandemic response or water quality assessments
  3. Preventing mistakes in machine learning involves using tools like the REFORMS checklist for ML-based science to ensure reproducibility and accuracy

The KQL Mysteries: Chapter 7

Rod’s Blog • 19 implied HN points • 30 Jan 24
🕹 Technology Data Analysis Cybersecurity Tech Innovation
  1. Jordan Alghamdi is a skilled data analyst in Saudi Arabia who blends tradition with modern technology in her work at a state-of-the-art data center.
  2. The data center where Jordan works represents Saudi Arabia's push towards modernization while preserving tradition, showcasing the country's advancement in technology.
  3. Jordan's use of KQL, a query language, showcases her analytical skills as she unravels complex data to solve mysteries and address potential threats.

Maximizing Product Management Efficiency with ChatGPT and Generative AI

An Innovator's Sketchbook • 19 implied HN points • 28 Jan 24
🕹 Technology AI Product Management Generative AI Automation Data Analysis
  1. Leverage AI to boost personal productivity in product management through planning, execution, and user feedback analysis.
  2. Use large language models (LLMs) in product strategy for idea generation, evaluation, and decision-making.
  3. Optimize day-to-day efficiency by using AI to break down goals into manageable tasks and plan daily schedules.

Series A activity: Week of January 15, 2024

Magid and Co • 19 implied HN points • 22 Jan 24
💼 Business Data Analysis
  1. In the last week, there were only 15 Series A deals with funding amounts ranging from $5.5M to $55M.
  2. The focus was on Series A deals worldwide (excluding China), where the raised amount was over $5M and not in therapeutics.
  3. Readers can subscribe for free to receive new posts and support the author's work on Magid and Co.

Love, happiness, blessings, and spam

Conspirador Norteño • 32 implied HN points • 16 Mar 24
🕹 Technology Social media Artificial Intelligence Data Analysis Content creation Social media Data Analysis Fake Accounts
  1. Spam accounts use repetitive and fake positive messages to amplify content, making it appear more popular than it actually is.
  2. Researchers are now facing difficulties in mapping out spam account networks due to limitations in data access.
  3. Spam network accounts use GAN-generated faces and peculiar vowels in account names, creating an association with suspended spam networks.

How many people are just like you?

Jovex Substack • 19 implied HN points • 20 Jan 24
🔬 Science Data Analysis Identity
  1. The more unique facts about a person, the more identifiable they become. Less than 10 specific facts could potentially distinguish an individual from everyone else.
  2. Correlation between personal facts may impact the uniqueness calculation, but still requires around 10 moderately specific facts to identify someone.
  3. Utilizing specific facts can even further reduce the number of facts needed for identification. Such calculations can also determine how few people share similar circumstances, making each individual's story unique.

Angels in the Architecture, pt IV

Premium Grind • 19 implied HN points • 19 Jan 24
🕹 Technology Research Visualization Data Analysis Software
  1. Interpreting VAS heatmaps is challenging due to lack of established guidelines and overlaps in definitions.
  2. Studies have shown that traditional civic architecture consistently draws more viewer attention than modern styles.
  3. Discrepancies exist between VAS results and actual human-subject eye-tracking studies, raising questions about accuracy and interpretation.

How to Sell Products and Retain Customers

Sarah's Newsletter • 119 implied HN points • 12 Apr 22
💼 Business Marketing Customer Retention Product Development User Experience Data Analysis
  1. Understand your audience and solve their real problems to attract and retain customers.
  2. Provide a smooth onboarding experience to help users transition from inefficient processes to using your product.
  3. Customers who find your product valuable will be forgiving of small bugs, but focus on seamless integration within their ecosystem.

It Only Takes One Data Point to Disprove an Investment Thesis

The Data Score • 19 implied HN points • 09 Jan 24
💰 Finance Financial Markets Data Analysis Investment Strategies
  1. It only takes one data point to disprove an investment thesis by testing for the counterfactual, which allows identifying data points that go against the thesis.
  2. A question-driven approach to investing focuses on formulating the right questions to deeply understand the investment landscape, prioritizing curiosity and critical thinking.
  3. Designing an investment thesis involves setting measurable outcomes, defining timeframes, identifying dependencies, establishing checkpoints, and being aware of the current valuation. It's crucial to recognize what's in the valuation already and how your views differ.

unix 1 liner to inspect a CSV

CodeFaster • 72 implied HN points • 23 Jul 23
🕹 Technology Coding Data Analysis Unix
  1. The Unix one-liner uses commands like cat, tac, cut, and less to process a CSV file.
  2. Using 'cat' reads the file, 'tac' prints it in reverse, 'cut' selects specific columns, and 'less' displays data page by page.
  3. This one-liner is handy for quickly examining and navigating through large CSV files in the terminal.

How TikTok breaks economics [Finance Fridays]

Technology Made Simple • 59 implied HN points • 29 Oct 22
💰 Finance Economics Social media Government Influence Data Analysis Investment Analysis
  1. TikTok struggles with profitability due to competition, lack of valuable data, and the expensive analysis of user behavior.
  2. The CCP's involvement in ByteDance enables them to fund TikTok despite losses for geopolitical influence, impacting the content promoted and the platform's sustainability.
  3. Banning TikTok may not address the root issues; education on health, mental wellness, skepticism, and maintaining real social connections are vital for healthier social media engagement.

Can AMD beat Nvidia in the AI Race?

Golden Pineapple • 31 implied HN points • 07 Mar 24
🕹 Technology Artificial Intelligence Acquisitions Semiconductors Data Analysis Software
  1. Nvidia has been a market leader with high-performance chips for GPT models, positioning them well in the AI competition.
  2. AMD is making strategic moves in AI, such as diversifying into software through acquisitions like Nod AI, to challenge Nvidia's dominance.
  3. Both Nvidia and AMD are eyeing potential acquisitions in AI-related sectors, with AMD's recent chip advancements showing promise in the competition.

Sapphire Rapids Core-To-Core Latency

Delayed Branch • 67 HN points • 07 Aug 23
🕹 Technology Hardware Data Analysis CPU
  1. The analysis of Sapphire Rapids CPU core-to-core latency is affected by factors like instance type and lack of detailed performance data.
  2. Intel's adoption of EMIB technology for Sapphire Rapids allows for integration of multiple chiplets in the same package, impacting latency and performance.
  3. Understanding the latency costs and implications of EMIB for core communication in Sapphire Rapids can help evaluate its performance impact on different workloads.

About China’s “Intelligence Satellites”...

Ill-Defined Space • 28 implied HN points • 07 Mar 24
🕹 Technology Space Satellites Data Analysis Military Commercial
  1. The claim that China has 359 intelligence satellites may be inaccurate, as this number includes civil and military satellites, not just those intended for intelligence purposes.
  2. While China's spacecraft deployments have increased, they have not tripled, as suggested by a U.S. Space Command general.
  3. Despite concerns about China's space activities, the data indicates that U.S. military spacecraft deployments have not significantly increased, and the role of commercial spacecraft in the industry is substantial.