ββBayesian Statistics explained to Beginners in Simple English
Now some #entrylevel material, which still might be useful to review, because repetitio est mater studiorum.
Link: https://www.analyticsvidhya.com/blog/2016/06/bayesian-statistics-beginners-simple-english/
Now some #entrylevel material, which still might be useful to review, because repetitio est mater studiorum.
Link: https://www.analyticsvidhya.com/blog/2016/06/bayesian-statistics-beginners-simple-english/
Probabilistic foundations of econometrica: part 1
Great intro into #statistics basics.
Link: https://freakonometrics.hypotheses.org/57649
#beginner #novice #entrylevel
Great intro into #statistics basics.
Link: https://freakonometrics.hypotheses.org/57649
#beginner #novice #entrylevel
Freakonometrics
Probabilistic Foundations of Econometrics, part 1
In a series of posts, I wanted to get into details of the history and foundations of econometric and machine learning models. It will be some sort of online version of our joint paper with Emmanuel Flachaire and Antoine Ly, Econometrics and Machine Learningβ¦
Really short and brief, yet useful #tutorial on #PyTorch #transferlearning
Transfer learning is a concept of using network trained for a certain task for another one.
Link: https://medium.com/@iamHarin17/transfer-learning-in-pytorch-f7736598b1ed
#DL #novice #entrylevel #beginner
Transfer learning is a concept of using network trained for a certain task for another one.
Link: https://medium.com/@iamHarin17/transfer-learning-in-pytorch-f7736598b1ed
#DL #novice #entrylevel #beginner
Medium
Implementing Transfer Learning in PyTorch
Transfer Learning is a technique where a model trained for a certain task is used for another similar task.
Time series basics
Time series β data, with points having timestamps. Some might think that #timeseries are mostly used in algorithmic trading, but they often used in malware detection, network data analysis or any other field, dealing with some flow of time-labeled data. These two resources provide deep and easy #introduction into #TS analysis.
Github: https://github.com/akshaykapoor347/Time-series-modeling-basics
Data Camp presentation: https://s3.amazonaws.com/assets.datacamp.com/production/course_5702/slides/chapter3.pdf
#beginner #novice #python #entrylevel
Time series β data, with points having timestamps. Some might think that #timeseries are mostly used in algorithmic trading, but they often used in malware detection, network data analysis or any other field, dealing with some flow of time-labeled data. These two resources provide deep and easy #introduction into #TS analysis.
Github: https://github.com/akshaykapoor347/Time-series-modeling-basics
Data Camp presentation: https://s3.amazonaws.com/assets.datacamp.com/production/course_5702/slides/chapter3.pdf
#beginner #novice #python #entrylevel
GitHub
GitHub - akshaykapoor347/Time-series-modeling-basics: Basics of Time series modeling in Python using pandas
Basics of Time series modeling in Python using pandas - GitHub - akshaykapoor347/Time-series-modeling-basics: Basics of Time series modeling in Python using pandas
Modern Deep Learning Techniques Applied to Natural Language Processing
Online collaborative book
Link: https://nlpoverview.com/index.html
Github: https://github.com/omarsar/nlp_overview
ArXiV: https://arxiv.org/abs/1708.02709
#NLP #beginner #novice #entrylevel #DL
Online collaborative book
Link: https://nlpoverview.com/index.html
Github: https://github.com/omarsar/nlp_overview
ArXiV: https://arxiv.org/abs/1708.02709
#NLP #beginner #novice #entrylevel #DL
GitHub
GitHub - omarsar/nlp_overview: Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing - omarsar/nlp_overview
ββModeling Price with Regularized Linear Model & #XGBoost
Great example of applicable research for #production #ML.
Link: https://www.kdnuggets.com/2019/05/modeling-price-regularized-linear-model-xgboost.html
#novice #entrylevel
Great example of applicable research for #production #ML.
Link: https://www.kdnuggets.com/2019/05/modeling-price-regularized-linear-model-xgboost.html
#novice #entrylevel
Machine Learning for Everyone.
The best general intro post about Machine Learning, covering everything you need to know not to get overxcited about SkyNet and to get general understanding of all #ML / #AI hype. You can surely save this post into Β«Saved messagesΒ» and forward it to your friends to make them familiar with the subject
Link: https://vas3k.com/blog/machine_learning/
#entrylevel #novice #general
The best general intro post about Machine Learning, covering everything you need to know not to get overxcited about SkyNet and to get general understanding of all #ML / #AI hype. You can surely save this post into Β«Saved messagesΒ» and forward it to your friends to make them familiar with the subject
Link: https://vas3k.com/blog/machine_learning/
#entrylevel #novice #general
Vas3K
None
Yet another good intro into difference between artificial neural network and biological one.
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
Medium
The differences between Artificial and Biological Neural Networks
They differ in size, topology, speed, fault-tolerance, power consumption, the way signals are sent and received and the way they learn.
Useful and practical post on pandas indexing
Link: https://www.shanelynn.ie/select-pandas-dataframe-rows-and-columns-using-iloc-loc-and-ix/
#beginner #pandas #practical #novice #entrylevel
Link: https://www.shanelynn.ie/select-pandas-dataframe-rows-and-columns-using-iloc-loc-and-ix/
#beginner #pandas #practical #novice #entrylevel
www.shanelynn.ie
Pandas iloc and loc β quickly select data in DataFrames
The iloc, loc and ix indexers for Python Pandas select rows and columns from DataFrames. Simple guide to find data by position, label & conditional statements.
ββπ₯Parameter optimization in neural networks.
Play with three interactive visualizations and develop your intuition for optimizing model parameters.
Link: https://www.deeplearning.ai/ai-notes/optimization/
#interactive #demo #optimization #parameteroptimization #novice #entrylevel #beginner #goldcontent #nn #neuralnetwork
Play with three interactive visualizations and develop your intuition for optimizing model parameters.
Link: https://www.deeplearning.ai/ai-notes/optimization/
#interactive #demo #optimization #parameteroptimization #novice #entrylevel #beginner #goldcontent #nn #neuralnetwork