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Techኢት
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Welcome to Techኢት Channel! Your tech news hub. Explore daily tech news and don't miss our weekly audio podcast.
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TikTok rolls out a new feature that lets you find songs by singing or humming them.
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Techኢት Podcast S02E07🎙

Guest: Bereket Engida(Telegram)
Host: Tolosa
Date: July 30, 2024
Time: 8:00 PM (2:00LT)

We're excited to feature Beka on Techኢት Podcast! 🎉 Beka is a top developer known for turning unique ideas into reality and solving real-life problems with code. 🚀

Projects💻
Loglib:Privacy-first, open-source web analytics.🔒📊
Better Fetch:Efficient data-fetching library.🌐⚡️
Better Call: Enhances remote procedure call functionality. 📞🔧
And more!

Current Role:
Beka currently contributes to Read21 as a remote developer, working on a multi-sensory web application designed to assist struggling readers and students with dyslexia. 📚🌍Additionally, he develops for Elemental, a local company.🏢🔧

Apart from his coding endeavors, Beka is also a talented music producer, specializing in creating music for adverts and film scores.🎶🎬

Don't miss out on this fun episode! 🤩 We'll dive into Beka's tech journey, uncover his innovative projects, and learn how he juggles roles at Read21 and Elemental. Plus, we'll geek out on tech trends and soak up his wisdom for budding developers. 🌟💡

@Techinethio
📅 Stay tuned! 🎧📢
#TechኢትPodcast
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Forwarded from LizTech
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
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Techኢት pinned a photo
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
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Well 😁
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Forwarded from Programmer Humor
[Other] havingFunLearningCrossStitching
https://redd.it/1ednnl3

by @programmer_humor
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When transparency goes both ways😁
@TechInEthio
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This explains it well
@TechInEthio
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How do you view the recent foreign exchange market liberalization by the government? As a dev(freelancer...) and citizen ?
Anonymous Poll
39%
Positively
29%
Negatively
15%
Neutral
18%
result
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Forwarded from Henok | Neural Nets
🔋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
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Forwarded from CodeCraft Essentials (just believe)
🎨 Looking for the Best Resources for Front End Design?


🌈 Color Sites:
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📸 Sites To Download Mockups:
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2. mockupworld.co
3. graphicburger.com
4. zippypixels.com

Inspiration Sites:
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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
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4. pngtree.com

📷 Photo Sites:
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2. pexels.com
3. pixabay.com
4. stocksnap.io
5. burst.shopify.com
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Live stream scheduled for
𝕏 beats Meta's Facebook and Instagram and is now the world's most visited social media network according to SimilarWeb.

@TechInEthio
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🚨 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

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

👉👉 here
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