Канал: ML Explained

These 3 machine learning books will land you that dream job! #machinelearning #books #education

These 3 machine learning books will land you that dream job! #machinelearning #books #education

How Reinforcement Learning Works - A Visual Example #reinforcementlearning #machinelearning

How Reinforcement Learning Works - A Visual Example #reinforcementlearning #machinelearning

Master Q-Learning in Python: Step-by-Step Guide for Beginners!

Master Q-Learning in Python: Step-by-Step Guide for Beginners!

How AI Learns To Make Decisions |Q-Learning Explained | Beginner's Guide to Reinforcement Learning

How AI Learns To Make Decisions |Q-Learning Explained | Beginner's Guide to Reinforcement Learning

From Certain to Uncertain | Stochastic Bellman Equation Made Easy

From Certain to Uncertain | Stochastic Bellman Equation Made Easy

Calculating Value of a state using Bellman Equation #reinforcementlearning #machinelearning

Calculating Value of a state using Bellman Equation #reinforcementlearning #machinelearning

This Equation Powers AI Decision Making| Reinforcement Learning Basics

This Equation Powers AI Decision Making| Reinforcement Learning Basics

Reinforcement Learning Explained Through Example #machinelearning #reinforcementlearning

Reinforcement Learning Explained Through Example #machinelearning #reinforcementlearning

Reinforcement Learning Made Easy - Part 1

Reinforcement Learning Made Easy - Part 1

GPT-4o API Guide - Unlock the power of OpenAI's best model!

GPT-4o API Guide - Unlock the power of OpenAI's best model!

OpenELM vs Phi-3-mini - Apple vs Microsoft: Who reigns supreme in the battle of small LLMS?

OpenELM vs Phi-3-mini - Apple vs Microsoft: Who reigns supreme in the battle of small LLMS?

Phi-3-mini vs Llama 3 Showdown: Testing the real world applications of small LLMs

Phi-3-mini vs Llama 3 Showdown: Testing the real world applications of small LLMs

LLaMA 3 vs Mistral vs GPT-4:RAG Test Blowout - Which Model Truly Reigns Supreme?

LLaMA 3 vs Mistral vs GPT-4:RAG Test Blowout - Which Model Truly Reigns Supreme?

Master ChromaDB: Supercharge Your RAG Tasks with the Ultimate Vector Database!

Master ChromaDB: Supercharge Your RAG Tasks with the Ultimate Vector Database!

Create RAG Using Ollama And Langchain - Chat with your documents

Create RAG Using Ollama And Langchain - Chat with your documents

Pandas Tricks - Use df.assign to create a new column #python #pythontricks #programming

Pandas Tricks - Use df.assign to create a new column #python #pythontricks #programming

Create Your Custom Loss Function - Catboost

Create Your Custom Loss Function - Catboost

Building An Image Classifier Using GPT-4 Vision API

Building An Image Classifier Using GPT-4 Vision API

A Guide on How To Use GPT-4 Vision API | System Prompt and User Prompt Explained

A Guide on How To Use GPT-4 Vision API | System Prompt and User Prompt Explained

Pandas Tricks That You Must Know and Start Using

Pandas Tricks That You Must Know and Start Using

Python Tips and Trick - Reduce #python #programming #tricks

Python Tips and Trick - Reduce #python #programming #tricks

How a False Positive almost ended the world #didyouknow #nuclearwar #statistics #machinelearning

How a False Positive almost ended the world #didyouknow #nuclearwar #statistics #machinelearning

How a False Positive Almost Ended The World

How a False Positive Almost Ended The World

Build a Machine Learning Labelling Tool Using Gradio in 3 minutes

Build a Machine Learning Labelling Tool Using Gradio in 3 minutes

LLM Fine Tuning with LoRA Explained with Hera Pheri #memes #chatgpt #llm #languagemodels #ai

LLM Fine Tuning with LoRA Explained with Hera Pheri #memes #chatgpt #llm #languagemodels #ai

Deep Learning Models have no power here #machinelearning #memes #lotr #deeplearning

Deep Learning Models have no power here #machinelearning #memes #lotr #deeplearning

Watching my models being trained #machinelearning #llm #gpt4 #deeplearning

Watching my models being trained #machinelearning #llm #gpt4 #deeplearning

Data Science is mostly data cleaning is not something people tell you #datascience #machinelearning

Data Science is mostly data cleaning is not something people tell you #datascience #machinelearning

Deploy Your Machine Learning (ML) Model on HuggingFace Spaces using Gradio

Deploy Your Machine Learning (ML) Model on HuggingFace Spaces using Gradio

What is MLaaS (Machine Learning as a Service) ?

What is MLaaS (Machine Learning as a Service) ?

F-Beta explained. Why lowering beta leads to higher focus on precision. #machinelearning #precision

F-Beta explained. Why lowering beta leads to higher focus on precision. #machinelearning #precision

LLM prediction explained kinda #machinelearning #gpt4 #memes

LLM prediction explained kinda #machinelearning #gpt4 #memes

Python Sorting Trick - Pass a key to use to sort your list #python #tipsandtricks #tricks

Python Sorting Trick - Pass a key to use to sort your list #python #tipsandtricks #tricks

Python Trick you didn’t know - unpack list or tuples with the * operator #python #tricks

Python Trick you didn’t know - unpack list or tuples with the * operator #python #tricks

Temperature and it’s effect in Language Models #LLM #chatgpt #gpt4 #machinelearning #googlecolab

Temperature and it’s effect in Language Models #LLM #chatgpt #gpt4 #machinelearning #googlecolab

LLMS Explained - Temperature, The parameter to control randomness in Language Models

LLMS Explained - Temperature, The parameter to control randomness in Language Models

Why #rsquared is calculated as 1 - RSS/TSS #linearregression #concept #machinelearning

Why #rsquared is calculated as 1 - RSS/TSS #linearregression #concept #machinelearning

Build #machinelearning demos using Gradio by @HuggingFace #python #programming

Build #machinelearning demos using Gradio by @HuggingFace #python #programming

LLMs Explained - Gorilla - A LLM to write API calls

LLMs Explained - Gorilla - A LLM to write API calls

Build a Machine Learning Demo Using Python and Gradio

Build a Machine Learning Demo Using Python and Gradio

Create a ChatBot in Python Using Llama2 and LangChain - Ask Questions About Your Own Data

Create a ChatBot in Python Using Llama2 and LangChain - Ask Questions About Your Own Data

Fine Tuning Llama2 (LLM) with custom data on Google Collab using LoRA

Fine Tuning Llama2 (LLM) with custom data on Google Collab using LoRA

Mini #bookreview Inspired by Marty Cagan #productmanagement #tech #shorts

Mini #bookreview Inspired by Marty Cagan #productmanagement #tech #shorts

Custom Evaluation Metric Catboost #machinelearning #python #catboost #boosting #shorts

Custom Evaluation Metric Catboost #machinelearning #python #catboost #boosting #shorts

Create Your Own Loss Metric - Custom Evaluation Metrics in Catboost

Create Your Own Loss Metric - Custom Evaluation Metrics in Catboost

I thought ML was hard back then #machinelearning #python #breakingbad #memes #shorts

I thought ML was hard back then #machinelearning #python #breakingbad #memes #shorts

Also when your code compiles and runs on the first go #deeplearning #memes #shorts #python

Also when your code compiles and runs on the first go #deeplearning #memes #shorts #python

How does #numpy argpartition works ? #python #programming #shorts

How does #numpy argpartition works ? #python #programming #shorts

How to find the Top K Elements in your data - Numpy Argpartition, an alternative to argmax #numpy

How to find the Top K Elements in your data - Numpy Argpartition, an alternative to argmax #numpy

Deep Learning architectures bumping into each other #machinelearning #memes #shorts

Deep Learning architectures bumping into each other #machinelearning #memes #shorts

#book #review The Making of a Manager - lessons for upcoming leaders #leadership #growth #shorts

#book #review The Making of a Manager - lessons for upcoming leaders #leadership #growth #shorts

#didyouknow Why do we check for p-value less than 0.5 in #linearregression #machinelearning #shorts

#didyouknow Why do we check for p-value less than 0.5 in #linearregression #machinelearning #shorts

Some of us switched to #pytorch #memes #machinelearning #tensorflow #deeplearning

Some of us switched to #pytorch #memes #machinelearning #tensorflow #deeplearning

#numpy Masked Arrays #explained #python #shorts #didyouknow

#numpy Masked Arrays #explained #python #shorts #didyouknow

#machinelearning tip - When to use which F-score #optimization #tips

#machinelearning tip - When to use which F-score #optimization #tips

#Book #review Atomic Habit by James Clear - guide to building good habits #jamesclear #atomichabits

#Book #review Atomic Habit by James Clear - guide to building good habits #jamesclear #atomichabits

#book #review Tiny Habits by BJ Fogg - How to build better #habits #growth #learning

#book #review Tiny Habits by BJ Fogg - How to build better #habits #growth #learning

Distance Metrics in #machinelearning #euclidian #manhattan #python #statistics

Distance Metrics in #machinelearning #euclidian #manhattan #python #statistics

#book #review Naked Statistics by Charles Wheelan #datascience #statistics

#book #review Naked Statistics by Charles Wheelan #datascience #statistics

Mini #book #review The Unicorn Project by Gene Kim #programming #growth #learning

Mini #book #review The Unicorn Project by Gene Kim #programming #growth #learning

Why you should always perform #crossvalidation - #datascience interview question #machinelearning

Why you should always perform #crossvalidation - #datascience interview question #machinelearning

#book #review Story Telling with Data - A must read for every one in #datascience and #analytics

#book #review Story Telling with Data - A must read for every one in #datascience and #analytics

#book #review Invisible Women by Caroline Perez #inclusion #datascience

#book #review Invisible Women by Caroline Perez #inclusion #datascience

#datascience interview question - Multiple #linearregression #machinelearning #shorts

#datascience interview question - Multiple #linearregression #machinelearning #shorts

Key difference between #precision and #recall #machinelearning #shorts #concept

Key difference between #precision and #recall #machinelearning #shorts #concept

Data Science Interview Question on correlation #datascience #interviewtips #machinelearning #shorts

Data Science Interview Question on correlation #datascience #interviewtips #machinelearning #shorts

Correlation is not Causation #machinelearning #eda #correlation #shorts

Correlation is not Causation #machinelearning #eda #correlation #shorts

Why MCC Score is critical to evaluate #python #machinelearning #mcc #mlmetrics #shorts

Why MCC Score is critical to evaluate #python #machinelearning #mcc #mlmetrics #shorts

Matthews Correlation Coefficient (MCC Score) | A balanced ML metric to focus on both tp and tn

Matthews Correlation Coefficient (MCC Score) | A balanced ML metric to focus on both tp and tn

Feature Selection with #Catboost #python #machinelearning #shorts

Feature Selection with #Catboost #python #machinelearning #shorts

Python Tip for Sorting #python #tips #didyouknow

Python Tip for Sorting #python #tips #didyouknow

I bet you didn’t knew about this #python tip #programming #didyouknow #shorts

I bet you didn’t knew about this #python tip #programming #didyouknow #shorts

Precision Explained with example #machinelearning #concept #shorts #precision

Precision Explained with example #machinelearning #concept #shorts #precision

#bias and #variance in #machinelearning explained with example #python #shorts

#bias and #variance in #machinelearning explained with example #python #shorts

Polars - 10x faster than pandas, a #python library in #rust #pandas #shorts #didyouknow

Polars - 10x faster than pandas, a #python library in #rust #pandas #shorts #didyouknow

imblearn-the Python Package for imbalanced classification problems #python #machinelearning #shorts

imblearn-the Python Package for imbalanced classification problems #python #machinelearning #shorts

Pandas Melt function explained with example #python #pandas #datascience

Pandas Melt function explained with example #python #pandas #datascience

ML Metrics | Top N Accuracy Explained with example #shorts #python #accuracy

ML Metrics | Top N Accuracy Explained with example #shorts #python #accuracy

ML Metrics Every Data Scientist needs to know | Top N Accuracy

ML Metrics Every Data Scientist needs to know | Top N Accuracy

Transfer Learning explained kind of #transferlearning #deeplearning #shorts #memes

Transfer Learning explained kind of #transferlearning #deeplearning #shorts #memes

Plot Confusion Matrix using scikit-learn #shorts #python #machinelearning

Plot Confusion Matrix using scikit-learn #shorts #python #machinelearning

Micro and Macro Precision #shorts #machinelearning #python

Micro and Macro Precision #shorts #machinelearning #python

Colsample by tree explained #shorts #machinelearning #python

Colsample by tree explained #shorts #machinelearning #python

Subsample explained in Gradient Boosting #machinelearning #boosting #shorts #xgboost

Subsample explained in Gradient Boosting #machinelearning #boosting #shorts #xgboost

XgBoost Parameters that every Data Scientist must know #machinelearning

XgBoost Parameters that every Data Scientist must know #machinelearning

Pandas Transform #python #pandas #shorts

Pandas Transform #python #pandas #shorts

When should you choose beta less than 1 in F-beta score #shorts #python #machinelearning

When should you choose beta less than 1 in F-beta score #shorts #python #machinelearning

They always ask about Linear Regression when you least expect it #shorts #machinelearning #memes

They always ask about Linear Regression when you least expect it #shorts #machinelearning #memes

Leave One Out Encoding Explained #machinelearning #shorts #python

Leave One Out Encoding Explained #machinelearning #shorts #python

Leave One Out Encoding - How to Encode Categorical Variable for Boosting Models like XgBoost

Leave One Out Encoding - How to Encode Categorical Variable for Boosting Models like XgBoost

Pandas Essentials | Apply

Pandas Essentials | Apply

Why a Naive Bayes Classifier is called Naive #machinelearning #bayestheorem #shorts

Why a Naive Bayes Classifier is called Naive #machinelearning #bayestheorem #shorts

Correlation among categorical variables

Correlation among categorical variables

Weight of Evidence

Weight of Evidence

Pandas Qcut

Pandas Qcut

Pandas Essentials - Transform and Qcut (Quantile cut)

Pandas Essentials - Transform and Qcut (Quantile cut)

Calculate Correlation Among Categorical Variables in Python

Calculate Correlation Among Categorical Variables in Python

Time Series Forecasting with Python Part -2 | Moving Averages

Time Series Forecasting with Python Part -2 | Moving Averages

Pandas Essentials – Pivot, Pivot Table, Cast and Melt

Pandas Essentials – Pivot, Pivot Table, Cast and Melt

Time Series Forecasting with Python - Part1

Time Series Forecasting with Python - Part1

Categorical Encoding, Weight of Evidence encoding to win Kaggle competitions

Categorical Encoding, Weight of Evidence encoding to win Kaggle competitions

F-beta score explained | F1-score, F0.5 score and F2 and where and when you should use it.

F-beta score explained | F1-score, F0.5 score and F2 and where and when you should use it.

All about decision trees, calculating Gini, Information Gain, building a Decision Tree from scratch

All about decision trees, calculating Gini, Information Gain, building a Decision Tree from scratch

Macro vs micro averages Explained for multi-class Classification | Machine Learning

Macro vs micro averages Explained for multi-class Classification | Machine Learning

F2 and F0.5 score and when to use them.

F2 and F0.5 score and when to use them.

What are support vectors in SVM ?

What are support vectors in SVM ?