The hottest Predictive Analytics Substack posts right now

And their main takeaways
Category
Top Technology Topics

Underutilized.

Cybernetic Forests • 279 implied HN points • 05 Nov 23
🕹 Technology AI Data Analytics Digital Art Social media Predictive Analytics
  1. Generative AI is essentially a new form of Big Data, emphasizing pattern analysis to automate processes.
  2. The expansion of data is essential for the existence of generative AI tools, demonstrating a rebranding of data analytics into AI.
  3. The tech industry's focus on data monetization and predictive analytics has led to virtual interactions that distance us from real human connection and community.

How Doximity and Roblox Are Rolling Out GPT Products.

Machine Economy Press • 3 implied HN points • 22 Feb 23
🕹 Technology Artificial Intelligence Healthcare Gaming Education Predictive Analytics
  1. Doximity rolled out DocsGPT, a ChatGPT tool for doctors to streamline administrative tasks.
  2. The DocsGPT tool features a library of medical prompts for generating text in conversations.
  3. Roblox is incorporating Generative AI tools for its users and creators, aligning with the AI-native generation.

Data Science Weekly - Issue 2

Data Science Weekly Newsletter • 39 implied HN points • 05 Dec 13
🕹 Technology Data science Machine Learning Big Data Predictive Analytics Statistics
  1. Visual image extraction can enhance social image searches using big data techniques. This can help businesses understand how their images are perceived online.
  2. Probabilistic programming can model complex, unseen factors in finance that influence market behavior, like investor fear. This approach provides better tools for understanding market trends.
  3. Big data technologies can analyze social media pictures to find popular locations, helping businesses discover the best spots to attract customers.

Data Science Weekly - Issue 182

Data Science Weekly Newsletter • 19 implied HN points • 18 May 17
🕹 Technology Data science Machine Learning Artificial Intelligence Predictive Analytics Software Development
  1. AI in medicine is advancing, allowing devices to monitor health continuously and alert doctors to issues. This could change how we receive medical care.
  2. Companies can improve their forecasting skills by training employees in prediction methods. Everyone, regardless of their background, can learn to make better predictions.
  3. Data scientists face challenges when using laptops for resource-heavy tasks. They often have to choose between speed and complexity, which can impact their performance.

Data Science Weekly - Issue 97

Data Science Weekly Newsletter • 19 implied HN points • 01 Oct 15
🕹 Technology Data science Machine Learning Artificial Intelligence Predictive Analytics Big Data
  1. A new model using health records can predict if patients will be at home, hospitalized, or dead within a week of being admitted. It's impressive how it combines different patient data for better accuracy.
  2. Google's DeepMind AI is getting really good at video games, beating humans in 31 of them. But surprisingly, it still struggles with classic games like Pac-Man.
  3. Adaptive learning is changing how machines and humans learn together. This new wave could lead to smarter systems that can adapt in real-time.
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Data Science Weekly - Issue 84

Data Science Weekly Newsletter • 19 implied HN points • 02 Jul 15
🕹 Technology Data science Machine Learning Artificial Intelligence Deep Learning Predictive Analytics
  1. Neural networks are being used to create things like text, music, and images. They're learning from examples and getting better at generating content.
  2. Machine learning can help predict crime in cities by analyzing data from various sources. This approach aims to enhance safety and efficiency in crime prevention.
  3. Getting good at machine learning requires practice and understanding. There are many resources available, like cheat sheets and books, to help beginners learn the basics.

Data Science Weekly - Issue 80

Data Science Weekly Newsletter • 19 implied HN points • 04 Jun 15
🕹 Technology Data science Machine Learning Artificial Intelligence Predictive Analytics Algorithms
  1. Machine learning can predict future events by analyzing past data. For example, it can be used to forecast the weather based on previous weather observations.
  2. Gaze estimation is a task in computer vision where algorithms detect where a person is looking. Recent advancements allow one computer to train another to improve this recognition.
  3. Statistical significance in studies refers to the results, not the sample itself. Ensuring you have enough data is key to obtaining reliable outcomes.

Data Science Weekly - Issue 28

Data Science Weekly Newsletter • 19 implied HN points • 05 Jun 14
🕹 Technology Data science Machine Learning Predictive Analytics Natural Language Software Development
  1. Machine Learning can be used to analyze emotions in real-time. Tools like NLTK and ZMQ make it easier to develop services for this purpose.
  2. Apache Spark is gaining popularity as more companies see its benefits for processing large datasets. This trend is fueled by improvements in its components and an expanding community.
  3. Text analysis can significantly improve stock price prediction accuracy. It has been shown that including text data can enhance predictions by over 10% compared to traditional methods.

Data Science Weekly - Issue 24

Data Science Weekly Newsletter • 19 implied HN points • 08 May 14
🕹 Technology Data science Machine Learning Artificial Intelligence Big Data Predictive Analytics
  1. R is a valuable tool for businesses, especially for those wanting to harness data effectively.
  2. Neural networks can tackle complex problems like wine classification by analyzing many different features.
  3. Creating a data-driven organization requires understanding customer needs, good training, and strong infrastructure.

The Future of Advanced Healthcare Analytics Using AI

healthviva • 0 implied HN points • 22 Jun 23
🏥 Health & Wellness AI Data Analysis Predictive Analytics
  1. AI is transforming healthcare analytics by extracting valuable insights from vast amounts of data
  2. AI enhances clinical decision-making by analyzing patient data to assist in accurate diagnoses and treatment recommendations
  3. AI in EHR systems improves operational efficiency, automates tasks, and generates actionable insights for better patient outcomes