We got you recording of our last podcast with Amanuael kebede
https://youtu.be/07H9Sj9ATtE?si=1wGJ9myuEEfABWVD
@Techinethio
@Blogrammer
https://youtu.be/07H9Sj9ATtE?si=1wGJ9myuEEfABWVD
@Techinethio
@Blogrammer
YouTube
TechኢትPodcast S02 Ep06 [Guest: Amanuael Kebede]
Amanuael is a seasoned frontend developer specializing in React and Next.js. As a dedicated freelancer on Upwork and for local clients, he shares his expertise on his YouTube channel, Silicon Addis. Recently, he won A2SV's Internal Hackathon with his project.
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It's been an incredibly exciting week in the world of AI:
- OpenAI launched a new search tool called SearchGPT
- Meta updated its Llama language model to version 3.1
- Mistral AI released a new and improved Mistral Large 2 model
- DeepMind's AI achieved a silver medal at the International Math Olympiad
- Elon Musk announced plans to develop Grok 2 and 3
- OpenAI launched a new search tool called SearchGPT
- Meta updated its Llama language model to version 3.1
- Mistral AI released a new and improved Mistral Large 2 model
- DeepMind's AI achieved a silver medal at the International Math Olympiad
- Elon Musk announced plans to develop Grok 2 and 3
⚡5
TikTok rolls out a new feature that lets you find songs by singing or humming them.
Read More
@techinethio
Read More
@techinethio
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https://youtu.be/YMwCPfABwHg?si=NMxVvQ3uyiQs4Yk3
Evan You creator of Vue js and vite really great video
Evan You creator of Vue js and vite really great video
YouTube
Evan You - THINKING ACROSS THE FRAMEWORK BARRIER - RenderATL 2023
Keynote Speaker
You will have a better understanding of the similarities and different design decision trade-offs between popular frameworks, and be encouraged to think about problems from a framework-agnostic perspective where appropriate.
You will have a better understanding of the similarities and different design decision trade-offs between popular frameworks, and be encouraged to think about problems from a framework-agnostic perspective where appropriate.
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What's your go-to code editor?
Anonymous Poll
88%
Visual Studio Code
3%
Sublime Text
1%
Atom
4%
Vim
4%
Other
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
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
🔥14👍2❤1⚡1
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
🔍 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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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
>LeetCode owners check your rank to see how many users are on the platform😂
@techinethio
🤣9🗿3👍1
Techኢት
Mark Zuckerberg and Jensen Huang will be onstage together later this month
YouTube
What’s Next in AI: NVIDIA’s Jensen Huang Talks With WIRED’s Lauren Goode and Meta’s Mark Zuckerberg
In back-to-back talks at SIGGRAPH 2024, NVIDIA CEO Jensen Huang chats with WIRED Senior Writer Lauren Good and Meta Founder and CEO Mark Zuckerberg to explore accelerated computing, generative AI, and the breakthrough research that’s fueling the next wave…
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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
😭3
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
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:
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
🌈 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
👍6❤3🙏2
Techኢት
Tomorrow at 11:30 PM 🫷🫸 https://www.youtube.com/live/H0WxJ7caZQU?si=oRbwh05_IYFeXuk0
YouTube
AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg
NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg discuss how fundamental research is enabling AI breakthroughs, and how generative AI and open-source software will empower developers and creators. They also discuss the role of…
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𝕏 beats Meta's Facebook and Instagram and is now the world's most visited social media network according to SimilarWeb.
@TechInEthio
@TechInEthio
🔥7
🚨 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
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
⚡4🔥4