Call for papers on AI to AI Journey* conference journal has started!
Prize for the best scientific paper - 1 million roubles!
Selected papers will be published in the scientific journal Doklady Mathematics.
📖 The journal:
• Indexed in the largest bibliographic databases of scientific citations
• Accessible to an international audience and published in the world’s digital libraries
Submit your article by August 20 and get the opportunity not only to publish your research the scientific journal, but also to present it at the AI Journey conference.
Prize for the best article - 1 million roubles!
More detailed information can be found in the Selection Rules -> AI Journey
*AI Journey - a major online conference in the field of AI technologies
Prize for the best scientific paper - 1 million roubles!
Selected papers will be published in the scientific journal Doklady Mathematics.
📖 The journal:
• Indexed in the largest bibliographic databases of scientific citations
• Accessible to an international audience and published in the world’s digital libraries
Submit your article by August 20 and get the opportunity not only to publish your research the scientific journal, but also to present it at the AI Journey conference.
Prize for the best article - 1 million roubles!
More detailed information can be found in the Selection Rules -> AI Journey
*AI Journey - a major online conference in the field of AI technologies
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𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝘄𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵𝘀😍
Want to level up your Data Analytics & Machine Learning game—for FREE?🔥
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Want to level up your Data Analytics & Machine Learning game—for FREE?🔥
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𝐋𝐢𝐧𝐤👇:-
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Because your future job in data isn’t going to wait. Why should you? 🔥
Data Structures that make databases fast and scalable ✅
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👍2
𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄? 𝗦𝘁𝗮𝗿𝘁 𝗛𝗲𝗿𝗲!😍
Preparing for a Power BI interview? This reel is your ultimate secret weapon!💼⚡
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Save it. Share it. Study it. And walk in prepared✅️
Preparing for a Power BI interview? This reel is your ultimate secret weapon!💼⚡
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10 AI Side Hustles You Can Start Today
✅ Prompt Engineering Services – Craft prompts for businesses using ChatGPT or Claude
✅ AI-Powered Resume Writer – Help people optimize resumes using GPT + design tools
✅ YouTube Script Generator – Offer noscriptwriting using LLMs for creators & influencers
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✅ Data Labeling & AI Testing – Offer manual or semi-automated labeling to startups training models
React if you’re thinking of monetizing your AI skills!
#aiskills
✅ Prompt Engineering Services – Craft prompts for businesses using ChatGPT or Claude
✅ AI-Powered Resume Writer – Help people optimize resumes using GPT + design tools
✅ YouTube Script Generator – Offer noscriptwriting using LLMs for creators & influencers
✅ AI Course Creation – Build and sell niche courses powered by AI tools (ChatGPT + Canva)
✅ Copywriting & SEO Services – Use AI to generate blog posts, ad copy, and product denoscriptions
✅ Newsletter Curation – Launch an AI-generated niche newsletter using curated content
✅ Chatbot Development – Build custom AI chatbots for small businesses
✅ Voiceover Generator – Convert noscripts into realistic voiceovers for YouTube shorts or reels
✅ AI Art & Merch Store – Design AI-generated art and sell it on print-on-demand platforms
✅ Data Labeling & AI Testing – Offer manual or semi-automated labeling to startups training models
React if you’re thinking of monetizing your AI skills!
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How to get job as python fresher?
1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.
2. Learn Python Frameworks
As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.
3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies.
@crackingthecodinginterview
4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.
5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.
2. Learn Python Frameworks
As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.
3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies.
@crackingthecodinginterview
4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.
5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
🔉 𝐌𝐮𝐬𝐭-𝐖𝐚𝐭𝐜𝐡 𝐀𝐈 𝐓𝐞𝐝 𝐓𝐚𝐥𝐤𝐬
⏩ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
⏩ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
⏩ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
⏩ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
⏩ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
⏩ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
⏩ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
⏩ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
⏩ Kai-Fu Lee: How AI can save our humanity | TED Talk
https://bit.ly/44SC1ss
⏩ The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t
⏩ How AI could save (not destroy) education by Sal Khan
https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ
⏩ How to keep AI under control by Max Tegmark
https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5
⏩ How to think computationally about AI, the universe, and everything by Stephen Wolfram
https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb
⏩ The dark side of competition in AI by Liv Boeree
https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr
⏩ How AI art could enhance humanity's collective memory by Refik Anadol
https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2
⏩ Why AI is incredibly smart and shockingly stupid by Yejin Choil
https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM
⏩ Will superintelligent AI end the world by Eliezer Yudkowsky
https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1
⏩ Kai-Fu Lee: How AI can save our humanity | TED Talk
https://bit.ly/44SC1ss
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𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗧𝗲𝗰𝗵 𝗝𝗼𝗯😍
Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.
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Eligibility: BTech / BCA / BSc / MCA / MSc
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-
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Hurry, limited seats available!🏃♀️
Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.
60+ Hiring Drives Every Month
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-
🌟 500+ Hiring Partners
🤝Trusted by 7500+ Students
💼 Avg. Rs. 7.2 LPA
🚀 41 LPA Highest Package
Eligibility: BTech / BCA / BSc / MCA / MSc
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-
https://pdlink.in/4hO7rWY
Hurry, limited seats available!🏃♀️
🔟 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
👇👇
https://news.1rj.ru/str/datasciencefun/1126
ENJOY LEARNING 👍👍
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
👇👇
https://news.1rj.ru/str/datasciencefun/1126
ENJOY LEARNING 👍👍
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𝐂𝐲𝐛𝐞𝐫𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐢𝐩𝐬
1. Think Before Clicking: Be careful with links, especially in emails and messages, as they could be traps set by hackers.
2. Strong and Unique Passwords: Use different passwords for each account and make them strong by mixing uppercase, lowercase, numbers, and symbols.
3. Password Manager: Use a password manager to keep track of all your passwords securely.
4. Two-factor Authentication (2FA): Add extra layers of security, like codes or fingerprints, to your login process.
5. Stay Updated with CERT-In: Keep an eye on CERT-In updates to stay informed about cybersecurity threats.
6. Keep Software Updated: Regularly update your software, browsers, and operating systems to patch vulnerabilities.
7. Use Firewalls and Anti-viruses: Protect your systems from various cyber threats like malware and viruses by using updated anti-virus software and firewalls.
8. Avoid Online Debit Card Use: When making online transactions, avoid using cards directly linked to your bank account for added security. Opt for safer payment methods like PayPal or credit cards.
9. Learn About Phishing Attacks: Be wary of phishing emails or messages that trick you into giving away personal information. Avoid clicking on suspicious links or opening attachments from unknown senders.
10. Avoid Unfamiliar Websites: Be cautious when visiting new websites, especially those shared by unknown sources, as they could contain harmful malware.
11. Avoid Useless Downloads: Limit downloads to essential software and browser extensions. Always opt for custom installations and decline any additional add-ons during the process.
12. Stay Cautious on Social Media: Limit the amount of personal information shared on social media platforms to prevent hackers from accessing sensitive data.
13. Regularly Backup Your Data: Create backups of your files and network data to mitigate loss from cyber attacks or data breaches.
14. Use VPN on Public WiFi: When using public WiFi, use a Virtual Private Network (VPN) to encrypt your device's traffic and enhance security against hackers.
15. Secure Your Data: Stay vigilant and educated about cybersecurity threats to safeguard your personal data and systems. Consider enrolling in a cybersecurity program to deepen your understanding of this field.
➡️ Give Reactions 🤟
1. Think Before Clicking: Be careful with links, especially in emails and messages, as they could be traps set by hackers.
2. Strong and Unique Passwords: Use different passwords for each account and make them strong by mixing uppercase, lowercase, numbers, and symbols.
3. Password Manager: Use a password manager to keep track of all your passwords securely.
4. Two-factor Authentication (2FA): Add extra layers of security, like codes or fingerprints, to your login process.
5. Stay Updated with CERT-In: Keep an eye on CERT-In updates to stay informed about cybersecurity threats.
6. Keep Software Updated: Regularly update your software, browsers, and operating systems to patch vulnerabilities.
7. Use Firewalls and Anti-viruses: Protect your systems from various cyber threats like malware and viruses by using updated anti-virus software and firewalls.
8. Avoid Online Debit Card Use: When making online transactions, avoid using cards directly linked to your bank account for added security. Opt for safer payment methods like PayPal or credit cards.
9. Learn About Phishing Attacks: Be wary of phishing emails or messages that trick you into giving away personal information. Avoid clicking on suspicious links or opening attachments from unknown senders.
10. Avoid Unfamiliar Websites: Be cautious when visiting new websites, especially those shared by unknown sources, as they could contain harmful malware.
11. Avoid Useless Downloads: Limit downloads to essential software and browser extensions. Always opt for custom installations and decline any additional add-ons during the process.
12. Stay Cautious on Social Media: Limit the amount of personal information shared on social media platforms to prevent hackers from accessing sensitive data.
13. Regularly Backup Your Data: Create backups of your files and network data to mitigate loss from cyber attacks or data breaches.
14. Use VPN on Public WiFi: When using public WiFi, use a Virtual Private Network (VPN) to encrypt your device's traffic and enhance security against hackers.
15. Secure Your Data: Stay vigilant and educated about cybersecurity threats to safeguard your personal data and systems. Consider enrolling in a cybersecurity program to deepen your understanding of this field.
➡️ Give Reactions 🤟
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