Types of Machine Learning Algorithms

🔍 Supervised Learning
Supervised learning algorithms are trained using labeled data, where input data is tagged with the correct output. They learn a mapping from inputs to outputs, enabling predictions for new data. Common supervised learning algorithms include:
1. Linear Regression: Models the relationship between a dependent variable and independent variables by fitting a linear equation to observed data.
2. Logistic Regression: Estimates probabilities for binary classification tasks using a logistic function.
3. Decision Trees: Predicts the value of a target variable by learning simple decision rules from data features.
4. Random Forests: Ensemble of decision trees used for classification and regression, improving model accuracy and controlling overfitting.
5. Support Vector Machines (SVM): Effective in high-dimensional spaces, primarily used for classification but also regression.
6. Neural Networks: Powerful models that capture complex non-linear relationships, widely used in deep learning applications.

🔍 Unsupervised Learning
Unsupervised learning algorithms work with data sets without labeled responses, aiming to infer the natural structure within the data. Common unsupervised learning techniques include:
1. Clustering: Algorithms like K-means, hierarchical clustering, and DBSCAN group objects based on similarities.
2. Association: Finds rules describing relationships within the data, such as market basket analysis.
3. Principal Component Analysis (PCA): Uses statistical techniques to transform correlated variables into uncorrelated ones.
4. Autoencoders: Special neural networks used to learn efficient codings of unlabeled data.

🔍 Reinforcement Learning
Reinforcement learning algorithms learn to make a sequence of decisions to achieve a goal in an uncertain environment. The agent follows a policy based on actions and learns from the consequences through rewards or penalties. Examples of reinforcement learning algorithms include:
1. Q-learning: A model-free algorithm that learns the value of actions in specific states.
2. Deep Q-Networks (DQN): Combines Q-learning with deep neural networks, learning policies directly from high-dimensional sensory inputs.
3. Policy Gradient Methods: Optimize policy parameters directly instead of estimating action values.
4. Monte Carlo Tree Search (MCTS): Used in decision processes to find optimal decisions by simulating scenarios, notably in games like Go.

These categories provide an overview of common machine learning algorithms, each with its strengths and ideal use cases. Depending on the task at hand, certain algorithms may be better suited than others.
#MachineLearning

Here’s a motivational nudge for your friend to start solving DSA problems on leetCode:

>LeetCode owners check your rank to see how many users are on the platform😂

@techinethio

Well 😁

Tomorrow at 11:30 PM 🫷🫸

https://www.youtube.com/live/H0WxJ7caZQU?si=oRbwh05_IYFeXuk0

[Other] havingFunLearningCrossStitching
https://redd.it/1ednnl3

by @programmer_humor

When transparency goes both ways😁
@TechInEthio

This explains it well
@TechInEthio

🔋Ranking Programming Languages by Energy Efficiency


Compiled languages “tend to be” the most energy-efficient and fastest-running.

...the five slowest languages were all interpreted: Lua, Python, Perl, Ruby and Typenoscript. And the five languages which consumed the most energy were also interpreted ones.


Paper

🎨 Looking for the Best Resources for Front End Design?


🌈 Color Sites:
1. colorhunt.co
2. klart.io
3. color.adobe.com
4. webkul.github.io
5. pigment.shapefactory.co

💻 Sites To Download Fonts:
1. dafont.com
2. 1001fonts.com
3. fontsquirrel.com
4. fontfreak.com/fonts-new.htm

🖼 Sites To Download Vector Logos:
1. seeklogo.com
2. logovector.net
3. logotypes101.com
4. logos-vector.com

🔵 Sites To Download Icons:
1. flaticon.com
2. freeicons.io
3. iconstore.co
4. iconfinder.com
5. digitalnomadicons.com
6. iconstore.co

🖌 Brushes Download Sites:
1. brushking.eu
2. brusheezy.com/brushes
3. myphotoshopbrushes.com
4. fbrushes.com
5. gfxfever.com

📁 Sites To Download Files:
1. freepik.com
2. all-free-download.com
3. vecteezy.com
4. freeimages.com

📸 Sites To Download Mockups:
1. mockupsforfree.com
2. mockupworld.co
3. graphicburger.com
4. zippypixels.com

✨ Inspiration Sites:
1. inspirationde.com
2. designspiration.net
3. pinterest.com
4. dribbble.com

🎥 Video Sites:
1. mixkit.co
2. coverr.co
3. motionplaces.com
4. videezy.com

🖼 Photo Sites Without Background:
1. cleanpng.com
2. pngimg.com
3. footyrenders.com
4. pngtree.com

📷 Photo Sites:
1. unsplash.com
2. pexels.com
3. pixabay.com
4. stocksnap.io
5. burst.shopify.com

𝕏 beats Meta's Facebook and Instagram and is now the world's most visited social media network according to SimilarWeb.

@TechInEthio

🚨 Exciting News! 🚨

Join us in just ONE HOUR for an incredible episode of the Techኢት Podcast S02E07 🎙
🎉 We're featuring BEKA, a top developer turning unique ideas into reality! 🚀

Spread the word and share this with anyone you think will love it! 🌐✨

👉👉👉Join

@Techinethio

If you have any questions for Beka, you can leave them

👉👉 here

If you have any comments on Techኢት podcast, you can share them anonymously through this link. Your feedback helps us create beautiful and insightful episodes, and we greatly appreciate it😊

NVIDIA now offers free access to NIM (NVIDIA Inference Microservices) for members of their Developer Program. This enables developers to easily integrate and deploy AI models using simple APIs. Members receive resources, training, and tools to help build AI applications.

Over 5 million members can download and self-host NIM microservices for development, testing, and research. If you are a member, check your email for details.

Read More here

@techinethio