Joel Ricci-López

Our image was selected for the @JCIM_ACS cover, volume 61, issue 11! 🥳🙏 The image is related to pubs.acs.org/doi/10.1021/ac…, where we applied #MachineLearning to aggregate #EnsembleDocking results for #VirtualScreening.

@saidstetic Claude. Mil gracias! 🦾

@PaulJen01998021 Thanks for opening your Island. My wife, Jaky, got crazy taking all of the presents, sorry 😅❤️. It's her first time visiting an Island, so... Thanks!

#AnimalCrossing #ACNH #NintendoSwitch The island is open!My Dodo code is 6LWXC. And I'm giving away as many diy as you can stand!

🧠 Las pruebas estadísticas comunes son modelos lineales (o cómo aprender estadísticas de manera simple) 👇Esquema con los modelos lineales subyacentes a las pruebas paramétricas y no paramétricas habituales 🔗 buff.ly/2WwPW34 #datascience #data #analytics #stats #RStats

Wish you knew more about Statistics and Data Science? Here are my TEN best book recommendations for learners at every level.

¡Certificaciones gratis de Microsoft por tiempo limitado! Hay 8 retos disponibles para elegir: - Desarrollo aplicaciones para web y móvil .NET y C#. - Azure AI, Devops, Git y GitHub... Una vez que completes el reto, ganarás un examen gratuito con certificación de Microsoft. Empieza el 23 de mayo y finaliza el 20 de junio. Puedes seleccionar el reto que quieres superar aquí: microsoft.com/es-es/cloudski…

Todo el mundo comienza a conocer a Bard, la nueva herramienta IA de Google. Es el equivalente de GPT de OpenAI. Esto es lo que puede hacer Bard, pero no ChatGPT : Hilo [1️⃣-9️⃣] 🧵

1/🧵 Intention-to-treat (ITT) and per-protocol (PP) are two common methods used in clinical trials and research to analyze data. 📊 But what do they mean, and when should we use each method? Let's explore in this thread! 👩‍🔬 #DataScience #ClinicalTrials

1/ 📊📈 Let's dive into the fascinating world of #statistics and explore two key concepts: Odds Ratio and Relative Risk! Understanding the differences and applications of these two measures is crucial for interpreting study results and making informed decisions. #DataScience

GPT-4 is the new data scientist 🤯 With the new OpenAI code interpreter model, you just have to upload the data and provide instructions in simple english. The model does everything from cleaning data to generating insightful visualizations on autopilot!!

Data scientist’s guide to efficient coding in Python towardsdatascience.com/data-scientist…

Are Deep Learning Structural Models Sufficiently Accurate for Virtual Screening? Application of Docking Algorithms to #AlphaFold2 Predicted Structures #compchem #AIChemistry pubs.acs.org/doi/10.1021/ac… @thijsbeuming Vol63 Issue6 #JCIM #MachineLearning #DeepLearning

How to avoid bias in your literature review? Be systematic. M. Gusenbauer publishes on exactly this topic (recently in Nature). He shared his workflows and tools with me: 👇

1/ Mixed models are a powerful statistical tool for analyzing complex data with both fixed and random effects. R has several great packages for fitting mixed models. #rstats #datascience

Do an entire literature review – from a single paper. IRIS uses AI to bypass citation bias and categorize papers beautifully. Here is how to use it (free): 👇

Every Bro who paid $20 for GPT-4: The Prompt: Act as: Editor Degree of revision: Substantial Revision Type of edit: Enhance clarity and consistency Change style to: Academic, PhD Work Change tone to: Analytical Change reader comprehension level to: advanced, assume extensive prior knowledge Change length to: 1000 Words My Text: Brav.. hav u chaked the gpt-4 thing?? U can writ any branles drunken drivel in it and it changes it to any level even PhD hyper brain style.. truili insanse.. you, got to check it bro! Its a tru gift for all of us iliterate assholes around the the global flat plane! Now we can have universit jobs.. hhah crazi stuff...

The tiniest implementations of Linear Regression, Logistic Regression, KNN, PCA & KMeans:

Here is my method to conduct (and automate) a literature review. Using Google Scholar, @scite , @litmaps , #ChatGPT, @zotero and @obsdmd. Tutorial with examples and best practices: 👇

ChatGPT isn't made for academic writing, but Trinka AI is. Get AI-powered writing corrections based on your research domain. Here's a walk-through of its features (with videos): 👇

Want to learn how you can supercharge your academic writing with AI-powered apps? I have a complete tutorial of 170+ slides for you. 700 academics are using it. You can get it here: efficientacademicwriter.carrd.co

Don't use ChatGPT for academic research. It creates fake citations to papers that don't even exist. Instead, use Consensus — an AI-powered search engine designed for academics. Ask it a question and it'll give you a summary of top 5-10 (real) published papers.