FREE BOOKS
+==========+
Download programming books for FREE, all books from 2019!
https://t.iss.one/progerbooks
+==========+
Download programming books for FREE, all books from 2019!
https://t.iss.one/progerbooks
๐4
We are now on WhatsApp as well
Follow for more Artificial Intelligence resources: ๐
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
Follow for more Artificial Intelligence resources: ๐
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
Unpopular opinion:
ChatGPT is only as smart as the user; if garbage goes in, garbage comes out.
ChatGPT is only as smart as the user; if garbage goes in, garbage comes out.
๐9โค4
๐ ๐๐ฎ๐ฌ๐ญ-๐๐๐ญ๐๐ก ๐๐ ๐๐๐ ๐๐๐ฅ๐ค๐ฌ
โฉ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
โฉ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
โฉ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
โฉ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
โฉ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
โฉ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
โฉ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
โฉ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
โฉ Kai-Fu Lee: How AI can save our humanity | TED Talk
https://bit.ly/44SC1ss
โฉ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
โฉ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
โฉ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
โฉ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
โฉ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
โฉ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
โฉ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
โฉ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
โฉ Kai-Fu Lee: How AI can save our humanity | TED Talk
https://bit.ly/44SC1ss
๐5โค2
A resent post from CEO of Telegram about the new policies ๐
๐ Search on Telegram is more powerful than in other messaging apps because it allows users to find public channels and bots. Unfortunately, this feature has been abused by people who violated our Terms of Service to sell illegal goods.
๐ช Over the last few weeks, a dedicated team of moderators, leveraging AI, has made Telegram Search much safer. All the problematic content we identified in Search is no longer accessible. If you still manage to find something unsafe or illegal in Telegram Search, please report it to us via @SearchReport.
๐ซ To further deter criminals from abusing Telegram Search, we have updated our Terms of Service and Privacy Policy, ensuring they are consistent across the world. Weโve made it clear that the IP addresses and phone numbers of those who violate our rules can be disclosed to relevant authorities in response to valid legal requests.
โ๏ธ These measures should discourage criminals. Telegram Search is meant for finding friends and discovering news, not for promoting illegal goods. We won't let bad actors jeopardize the integrity of our platform for almost a billion users.
๐ Search on Telegram is more powerful than in other messaging apps because it allows users to find public channels and bots. Unfortunately, this feature has been abused by people who violated our Terms of Service to sell illegal goods.
๐ช Over the last few weeks, a dedicated team of moderators, leveraging AI, has made Telegram Search much safer. All the problematic content we identified in Search is no longer accessible. If you still manage to find something unsafe or illegal in Telegram Search, please report it to us via @SearchReport.
๐ซ To further deter criminals from abusing Telegram Search, we have updated our Terms of Service and Privacy Policy, ensuring they are consistent across the world. Weโve made it clear that the IP addresses and phone numbers of those who violate our rules can be disclosed to relevant authorities in response to valid legal requests.
โ๏ธ These measures should discourage criminals. Telegram Search is meant for finding friends and discovering news, not for promoting illegal goods. We won't let bad actors jeopardize the integrity of our platform for almost a billion users.
๐4
๐ง๐ก Why is OpenAI Paying Publishers if it Already Took Their Data? ๐ป
OpenAI has been quietly striking deals with major publishers, even after scraping their content without permission to train its models. But why pay now? The answer lies in legal strategy and future-proofing its AI tools like ChatGPT. By securing these agreements, OpenAI avoids lawsuits like the one from The New York Times, which could cost them billions in damages.
These deals also give OpenAI access to more real-time information, enhancing ChatGPTโs relevance and accuracy. ๐ฐ The catch? Publishers get peanutsโ$1-10 million per yearโcompared to the huge value OpenAI extracts from their data.
In essence, these are preemptive settlements to avoid further legal headaches while maintaining a competitive edge against rivals like Google. ๐ With its new SearchGPT, OpenAI is eyeing the search engine space, hoping to outmaneuver Googleโs dominance. ๐ต๏ธโโ๏ธ
This is more than just paying for past sins; itโs about shaping the future of AI search.
OpenAI has been quietly striking deals with major publishers, even after scraping their content without permission to train its models. But why pay now? The answer lies in legal strategy and future-proofing its AI tools like ChatGPT. By securing these agreements, OpenAI avoids lawsuits like the one from The New York Times, which could cost them billions in damages.
These deals also give OpenAI access to more real-time information, enhancing ChatGPTโs relevance and accuracy. ๐ฐ The catch? Publishers get peanutsโ$1-10 million per yearโcompared to the huge value OpenAI extracts from their data.
In essence, these are preemptive settlements to avoid further legal headaches while maintaining a competitive edge against rivals like Google. ๐ With its new SearchGPT, OpenAI is eyeing the search engine space, hoping to outmaneuver Googleโs dominance. ๐ต๏ธโโ๏ธ
This is more than just paying for past sins; itโs about shaping the future of AI search.
๐Top Sites To Explore Public Files - 2024
Itโs the internet equivalent of exploring an old attic - but instead of a flashlight, youโre equipped with keywords.
๐ขFind public files in Amazon S3
๐ฅ Website: ๐https://s3digger.com
๐ขFind public files in Dropbox
๐ฅ Website: ๐https://drodigger.com
๐ขFind public files in Disk Yandex
๐ฅ Website: ๐https://yadigger.com
๐ขFind public files in Google Drive
๐ฅ Website: ๐https://drodigger.com
๐ขFind public files in Telegram Server
๐ฅ Website: ๐https://teledigger.com
๐ขFind public files in other file sharing sites
๐ฅ Website: ๐https://fidigger.com
๐ขFind public files on url shortening sites
๐ฅ Website: ๐https://shortdigger.com
Itโs the internet equivalent of exploring an old attic - but instead of a flashlight, youโre equipped with keywords.
๐ขFind public files in Amazon S3
๐ฅ Website: ๐https://s3digger.com
๐ขFind public files in Dropbox
๐ฅ Website: ๐https://drodigger.com
๐ขFind public files in Disk Yandex
๐ฅ Website: ๐https://yadigger.com
๐ขFind public files in Google Drive
๐ฅ Website: ๐https://drodigger.com
๐ขFind public files in Telegram Server
๐ฅ Website: ๐https://teledigger.com
๐ขFind public files in other file sharing sites
๐ฅ Website: ๐https://fidigger.com
๐ขFind public files on url shortening sites
๐ฅ Website: ๐https://shortdigger.com
๐8
How to search on Google from another region
I Search From helps you simulate using a Google search from another location or device, or search with custom search settings.
The site allows you to build your search query so that Google searches by the territorial data you specify.
You can choose from search region and device type to city.
#lifehack #security
I Search From helps you simulate using a Google search from another location or device, or search with custom search settings.
The site allows you to build your search query so that Google searches by the territorial data you specify.
You can choose from search region and device type to city.
#lifehack #security
โค1
16 Websites to Find Remote International Jobs
1. LinkedIn - linkedin.com
2. Indeed - indeed.com
3. Glassdoor - glassdoor.com
4. FlexJobs - flexjobs.com
5. Remote.co - remote.co
6. Upwork - upwork.com
7. Freelancer - freelancer.com
8. Fiverr - fiverr.com
9. Guru - guru.com
10. Toptal - toptal.com
11. AngelList - angel.co
12. SimplyHired - simplyhired.com
13. Remotive - remotive.com
14. Hired - hired.com
15. CloudPeeps - cloudpeeps.com
16. TaskRabbit - taskrabbit.com
1. LinkedIn - linkedin.com
2. Indeed - indeed.com
3. Glassdoor - glassdoor.com
4. FlexJobs - flexjobs.com
5. Remote.co - remote.co
6. Upwork - upwork.com
7. Freelancer - freelancer.com
8. Fiverr - fiverr.com
9. Guru - guru.com
10. Toptal - toptal.com
11. AngelList - angel.co
12. SimplyHired - simplyhired.com
13. Remotive - remotive.com
14. Hired - hired.com
15. CloudPeeps - cloudpeeps.com
16. TaskRabbit - taskrabbit.com
๐13๐ฅฐ1
10 awesome frontend development YouTube channels:
1. Traversy Media ๐
2. The Net Ninja ๐ฅท
3. Dev Ed ๐จ
4. Academind ๐
5. Fireship ๐ฅ
6. Codevolution ๐ป
7. DesignCourse ๐จ
8. Florin Pop ๐งโ๐ป
9. Web Dev Simplified ๐
10. Kevin Powell ๐ฅ
@Javascript_courses
1. Traversy Media ๐
2. The Net Ninja ๐ฅท
3. Dev Ed ๐จ
4. Academind ๐
5. Fireship ๐ฅ
6. Codevolution ๐ป
7. DesignCourse ๐จ
8. Florin Pop ๐งโ๐ป
9. Web Dev Simplified ๐
10. Kevin Powell ๐ฅ
@Javascript_courses
โค6๐2
๐ New Telegram Channel Alert!
We've discovered a gem for AI enthusiasts: AI.News.Daily!
Why follow AI.News.Daily?
It's your go-to for:
โข Daily AI Breakthroughs: Get updates every day.
โข Expert Insights: Learn from the best with easy-to-follow advice.
โข Monetization Tips: Discover how to turn AI into profit.
Top picks from the channel:
โข Anthropicโs Free AI Courses: Access a treasure trove of free courses and guides tailored for Claude.
โข AI Catalogs: Explore the top 10 AI catalogs on GitHub.
โข Free Prompt Libraries: Stay creative with the 6 best AI prompt libraries.
โข Website Building: Discover top AI solutions for creating websites effortlessly.
โข AI Selection Tool: Compare AIs, check prices, and view detailed graphs and leaderboards.
Thereโs so much more waiting for you!
๐Donโt miss out: @ainews_daily
We've discovered a gem for AI enthusiasts: AI.News.Daily!
Why follow AI.News.Daily?
It's your go-to for:
โข Daily AI Breakthroughs: Get updates every day.
โข Expert Insights: Learn from the best with easy-to-follow advice.
โข Monetization Tips: Discover how to turn AI into profit.
Top picks from the channel:
โข Anthropicโs Free AI Courses: Access a treasure trove of free courses and guides tailored for Claude.
โข AI Catalogs: Explore the top 10 AI catalogs on GitHub.
โข Free Prompt Libraries: Stay creative with the 6 best AI prompt libraries.
โข Website Building: Discover top AI solutions for creating websites effortlessly.
โข AI Selection Tool: Compare AIs, check prices, and view detailed graphs and leaderboards.
Thereโs so much more waiting for you!
๐Donโt miss out: @ainews_daily
โค9๐5
Artificial_Intelligence,_Game_Theory_and_Mechanism_Design_in_Politics.pdf
2.8 MB
Artificial Intelligence, Game Theory and Mechanism Design in Politics
Tshilidzi Marwala, 2023
Tshilidzi Marwala, 2023
๐7
๐ Data Science Project Ideas for Freshers
Exploratory Data Analysis (EDA) on a Dataset: Choose a dataset of interest and perform thorough EDA to extract insights, visualize trends, and identify patterns.
Predictive Modeling: Build a simple predictive model, such as linear regression, to predict a target variable based on input features. Use libraries like scikit-learn to implement the model.
Classification Problem: Work on a classification task using algorithms like decision trees, random forests, or support vector machines. It could involve classifying emails as spam or not spam, or predicting customer churn.
Time Series Analysis: Analyze time-dependent data, like stock prices or temperature readings, to forecast future values using techniques like ARIMA or LSTM.
Image Classification: Use convolutional neural networks (CNNs) to build an image classification model, perhaps classifying different types of objects or animals.
Natural Language Processing (NLP): Create a sentiment analysis model that classifies text as positive, negative, or neutral, or build a text generator using recurrent neural networks (RNNs).
Clustering Analysis: Apply clustering algorithms like k-means to group similar data points together, such as segmenting customers based on purchasing behaviour.
Recommendation System: Develop a recommendation engine using collaborative filtering techniques to suggest products or content to users.
Anomaly Detection: Build a model to detect anomalies in data, which could be useful for fraud detection or identifying defects in manufacturing processes.
A/B Testing: Design and analyze an A/B test to compare the effectiveness of two different versions of a web page or app feature.
Remember to document your process, explain your methodology, and showcase your projects on platforms like GitHub or a personal portfolio website.
Free datasets to build the projects
๐๐
https://t.iss.one/datasciencefun/1126
ENJOY LEARNING ๐๐
Exploratory Data Analysis (EDA) on a Dataset: Choose a dataset of interest and perform thorough EDA to extract insights, visualize trends, and identify patterns.
Predictive Modeling: Build a simple predictive model, such as linear regression, to predict a target variable based on input features. Use libraries like scikit-learn to implement the model.
Classification Problem: Work on a classification task using algorithms like decision trees, random forests, or support vector machines. It could involve classifying emails as spam or not spam, or predicting customer churn.
Time Series Analysis: Analyze time-dependent data, like stock prices or temperature readings, to forecast future values using techniques like ARIMA or LSTM.
Image Classification: Use convolutional neural networks (CNNs) to build an image classification model, perhaps classifying different types of objects or animals.
Natural Language Processing (NLP): Create a sentiment analysis model that classifies text as positive, negative, or neutral, or build a text generator using recurrent neural networks (RNNs).
Clustering Analysis: Apply clustering algorithms like k-means to group similar data points together, such as segmenting customers based on purchasing behaviour.
Recommendation System: Develop a recommendation engine using collaborative filtering techniques to suggest products or content to users.
Anomaly Detection: Build a model to detect anomalies in data, which could be useful for fraud detection or identifying defects in manufacturing processes.
A/B Testing: Design and analyze an A/B test to compare the effectiveness of two different versions of a web page or app feature.
Remember to document your process, explain your methodology, and showcase your projects on platforms like GitHub or a personal portfolio website.
Free datasets to build the projects
๐๐
https://t.iss.one/datasciencefun/1126
ENJOY LEARNING ๐๐
โค2๐1
Confused about which field to dive intoโFront-End Development (FE), Back-End Development (BE), Machine Learning (ML), or Blockchain?
Here's a concise breakdown of each, designed to clarify your options:
### Front-End Development (FE)
Key Skills:
- HTML/CSS: Fundamental for creating the structure and style of web pages.
- JavaScript: Essential for adding interactivity and functionality to websites.
- Frameworks/Libraries: React, Angular, or Vue.js for efficient and scalable front-end development.
- Responsive Design: Ensuring websites look good on all devices.
- Version Control: Git for managing code changes and collaboration.
Career Prospects:
- Web Developer
- UI/UX Designer
- Front-End Engineer
### Back-End Development (BE)
Key Skills:
- Programming Languages: Python, Java, Ruby, Node.js, or PHP for server-side logic.
- Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) for data management.
- APIs: RESTful and GraphQL for communication between front-end and back-end.
- Server Management: Understanding of server, network, and hosting environments.
- Security: Knowledge of authentication, authorization, and data protection.
Career Prospects:
- Back-End Developer
- Full-Stack Developer
- Database Administrator
### Machine Learning (ML)
Key Skills:
- Programming Languages: Python and R are widely used in ML.
- Mathematics: Statistics, linear algebra, and calculus for understanding ML algorithms.
- Libraries/Frameworks: TensorFlow, PyTorch, Scikit-Learn for building ML models.
- Data Handling: Pandas, NumPy for data manipulation and preprocessing.
- Model Evaluation: Techniques for assessing model performance.
Career Prospects:
- Data Scientist
- Machine Learning Engineer
- AI Researcher
### Blockchain
Key Skills:
- Cryptography: Understanding of encryption and security principles.
- Blockchain Platforms: Ethereum, Hyperledger, Binance Smart Chain for building decentralized applications.
- Smart Contracts: Solidity for developing smart contracts.
- Distributed Systems: Knowledge of peer-to-peer networks and consensus algorithms.
- Blockchain Tools: Truffle, Ganache, Metamask for development and testing.
Career Prospects:
- Blockchain Developer
- Smart Contract Developer
- Crypto Analyst
### Decision Criteria
1. Interest: Choose an area you are genuinely interested in.
2. Market Demand: Research the current job market to see which skills are in demand.
3. Career Goals: Consider your long-term career aspirations.
4. Learning Curve: Assess how much time and effort you can dedicate to learning new skills.
Each field offers unique opportunities and challenges, so weigh your options carefully based on your personal preferences and career objectives.
Here are some telegram channels to help you build your career ๐
Web Development
https://t.iss.one/webdevcoursefree
Jobs & Internships
https://t.iss.one/getjobss
Blockchain
https://t.iss.one/Bitcoin_Crypto_Web
Machine Learning
https://t.iss.one/datasciencefun
Artificial Intelligence
https://t.iss.one/machinelearning_deeplearning
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
Here's a concise breakdown of each, designed to clarify your options:
### Front-End Development (FE)
Key Skills:
- HTML/CSS: Fundamental for creating the structure and style of web pages.
- JavaScript: Essential for adding interactivity and functionality to websites.
- Frameworks/Libraries: React, Angular, or Vue.js for efficient and scalable front-end development.
- Responsive Design: Ensuring websites look good on all devices.
- Version Control: Git for managing code changes and collaboration.
Career Prospects:
- Web Developer
- UI/UX Designer
- Front-End Engineer
### Back-End Development (BE)
Key Skills:
- Programming Languages: Python, Java, Ruby, Node.js, or PHP for server-side logic.
- Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) for data management.
- APIs: RESTful and GraphQL for communication between front-end and back-end.
- Server Management: Understanding of server, network, and hosting environments.
- Security: Knowledge of authentication, authorization, and data protection.
Career Prospects:
- Back-End Developer
- Full-Stack Developer
- Database Administrator
### Machine Learning (ML)
Key Skills:
- Programming Languages: Python and R are widely used in ML.
- Mathematics: Statistics, linear algebra, and calculus for understanding ML algorithms.
- Libraries/Frameworks: TensorFlow, PyTorch, Scikit-Learn for building ML models.
- Data Handling: Pandas, NumPy for data manipulation and preprocessing.
- Model Evaluation: Techniques for assessing model performance.
Career Prospects:
- Data Scientist
- Machine Learning Engineer
- AI Researcher
### Blockchain
Key Skills:
- Cryptography: Understanding of encryption and security principles.
- Blockchain Platforms: Ethereum, Hyperledger, Binance Smart Chain for building decentralized applications.
- Smart Contracts: Solidity for developing smart contracts.
- Distributed Systems: Knowledge of peer-to-peer networks and consensus algorithms.
- Blockchain Tools: Truffle, Ganache, Metamask for development and testing.
Career Prospects:
- Blockchain Developer
- Smart Contract Developer
- Crypto Analyst
### Decision Criteria
1. Interest: Choose an area you are genuinely interested in.
2. Market Demand: Research the current job market to see which skills are in demand.
3. Career Goals: Consider your long-term career aspirations.
4. Learning Curve: Assess how much time and effort you can dedicate to learning new skills.
Each field offers unique opportunities and challenges, so weigh your options carefully based on your personal preferences and career objectives.
Here are some telegram channels to help you build your career ๐
Web Development
https://t.iss.one/webdevcoursefree
Jobs & Internships
https://t.iss.one/getjobss
Blockchain
https://t.iss.one/Bitcoin_Crypto_Web
Machine Learning
https://t.iss.one/datasciencefun
Artificial Intelligence
https://t.iss.one/machinelearning_deeplearning
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
๐13