#statisticalprogramming hasil pencarian
These 7 statistical analysis concepts have helped me as an AI Data Scientist. Let's go: 🧵
These 7 statistical analysis concepts have helped me as an AI Data Scientist. Let's go: 🧵
Predictive #Statistics — Analysis and #Inference beyond Models: amzn.to/49TYu9v ————— #Probability #DataScience #Mathematics #MachineLearning #StatisticalLearning #ML #PredictiveAnalytics #Forecasting #Mathematics #DataScientist
Statistical signal processing uses probabilistic models to extract information from noisy signals. In machine learning, it's vital for feature extraction and noise reduction in audio and time-series data, powering speech recognition and anomaly detection. In real life, it's the…
Mathematical statistics is the formal bedrock of machine learning. It provides the tools to build, validate, and understand models. Concepts like maximum likelihood estimation, hypothesis testing, and statistical learning theory are essential for training, selecting features, and…
Whether you are a DATA ANALYSTS building a sales report or a DATA SCIENTIST building a model. A very important TECHNIQUE that can make you have a huge confidence in your report or model is STATISTICAL SIGNIFICANCE. Let me explain to you 😊 Retweet cos … it’s a THREAD🧵
The Elements of Statistical Learning by Hastie, Tibshirani & Friedman A definitive, in-depth treatment of statistical learning and machine learning methods. PDF: hastie.su.domains/ElemStatLearn/
Probability and measure theory provide the rigorous mathematical foundation for machine learning. Probability is the language of uncertainty, allowing models (like Bayesian networks) to quantify confidence in predictions. Measure theory is the "why" it works, defining the…
"An Introduction to Statistical Learning" Book freely available at: statlearning.com Youtube Playlist (Python version): youtube.com/playlist?list=… Youtube Playlist (R version): youtube.com/playlist?list=…
If 80+% pick Red, everyone in the world survives. If less than 80% pick Red, only everyone who picks Blue survives. What are you picking?
14697 suara · 3 jam tersisa
(1/5) STAT is a 3-stage data creation pipeline driven by model responses on a validation set: 1️⃣ Use a reward model to label questions as easy or hard. 2️⃣ For hard ones, extract missing skills in model responses via a stronger LLM. 3️⃣ Target those skills by either 🔸Upweighting…
I just came across this Interactive ML and Stats guide with implementations by @ItIsJaiLop . Covers so many topics and it is just beautiful. Guides like these make my day tbh, loved it so much💖
These 7 statistical analysis concepts have helped me as an AI Data Scientist. Let's go: 🧵
[cm] buat cari standar deviasi di SPSS caranya klik analyze => descriptive statistics => descriptives atau analyze => descriptive statistics => frequencies, yak guys? bingung
![collegemfs's tweet image. [cm] buat cari standar deviasi di SPSS caranya klik analyze => descriptive statistics => descriptives atau analyze => descriptive statistics => frequencies, yak guys? bingung](https://pbs.twimg.com/media/G31HKs2XgAAL-PD.jpg)
6-page Laminated #Statistics Reference Chart (Parameters, Variables, Intervals, Proportions, and more!): amzn.to/3ybo2ii ———— #StatisticalLiteracy #Probability #Mathematics #DataScience #DataScientist #MachineLearning
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