Artificial Intelligence
前往频道在 Telegram
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data
显示更多📈 Telegram 频道 Artificial Intelligence 的分析概览
频道 Artificial Intelligence (@machinelearning_deeplearning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 55 321 名订阅者,在 教育 类别中位列第 3 054,并在 印度 地区排名第 6 245 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 55 321 名订阅者。
根据 28 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 667,过去 24 小时变化为 25,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 6.41%。内容发布后 24 小时内通常能获得 1.33% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 3 547 次浏览,首日通常累积 736 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 29。
- 主题关注点: 内容集中在 learning, classification, layer, pattern, chatbot 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“🔰 Machine Learning & Artificial Intelligence Free Resources
🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more
For Promotions: @love_data”
凭借高频更新(最新数据采集于 29 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
55 321
订阅者
+2524 小时
+1247 天
+66730 天
帖子存档
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Python For Everything!🐍
Python, the versatile language, can be combined with various libraries to build amazing things:🚀
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
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𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Learn AI for FREE with these incredible courses by Google!
Whether you’re a beginner or looking to sharpen your skills, these resources will help you stay ahead in the tech game.
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+1
Stanford’s Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras ✅
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Repost from Data Science & Machine Learning
Hey folks! Just curious — where are you in your Data & AI journey?
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Artificial Intelligence:
Here are 10 ChatGPT-4o Prompts you need to know to Dominate and Excel at any job interview:
1. Developing STAR Method Responses:
Help me craft a STAR (Situation, Task, Action, Result) response to the interview question: [INSERT QUESTION] for the [JOB TITLE] role. Ensure the response is clear, concise, and demonstrates my impact in previous roles.
2. Mock Interview Practice:
Create a mock interview scenario for the [JOB TITLE] role at [SPECIFIC COMPANY]. Include 5 common and challenging questions I might face, and provide guidance on how to answer each effectively.
3. Overcoming Weaknesses:
How should I address the common interview question: 'What is your greatest weakness?' in the context of a [JOB TITLE] role in [SPECIFIC INDUSTRY]? Provide a response that turns the weakness into a positive aspect.
4. Negotiating Salary:
How should I approach salary negotiations for a [JOB TITLE] role at [SPECIFIC COMPANY]? Please provide a script or key points to emphasize based on industry standards and my qualifications.
ChatGPT PROMPTS Series
5. Post-Interview Follow-Up:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Based on our discussion about [specific project, skill, or topic discussed during the interview], draft a professional and personalized thank-you email that not only reiterates my enthusiasm for the role but also highlights how my experience in [specific relevant experience or achievement] can directly contribute to the success of [SPECIFIC COMPANY]
6. Showcasing Soft Skills:
How can I effectively highlight my soft skills, such as communication and teamwork, during an interview for the [JOB TITLE] role in [SPECIFIC INDUSTRY]? Please provide examples and scenarios that demonstrate these skills in action.
7. Dealing with Gaps in Employment:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Considering our discussion on [specific topics discussed during the interview], craft a professional and thoughtful thank-you email that reiterates my interest, highlights key points from our conversation, and emphasizes how my background in [specific skills or experiences] aligns with the company’s needs.
8. Handling Behavioral Questions:
How can I best respond to behavioral interview questions for a [JOB TITLE] role? Given my experience in [specific past role or project], provide strategies and examples to answer questions about teamwork, conflict resolution, and leadership.
9. Dealing with Gaps in Employment:
How should I address gaps in my employment history during an interview for the [JOB TITLE] position in [SPECIFIC INDUSTRY]? Considering that during this period I [explain what you did: pursued education, volunteered, freelanced, etc.], provide a response that explains the gaps positively and focuses on what I’ve learned during that time.
10. Explaining Career Transitions:
How can I effectively explain a career transition to [JOB TITLE] in [SPECIFIC INDUSTRY] during an interview? Given my background in [previous industry or role] and my recent [relevant education, certification, experience], provide a narrative that connects my previous experiences to the new role, highlighting transferable skills and relevant achievements.
ChatGPT PROMPTS Series
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𝗛𝗼𝘄 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to break into Financial Data Analytics but don’t know where to start?
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The Ultimate ChatGPT Prompting Hack 🤯
This Ultimate Cheat Sheet Will Transform the Way You Use ChatGPT Forever.
Learn How to Act as Any Expert, Create Any Content, and Format It Perfectly.
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𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
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𝗛𝗼𝘄 𝘁𝗼 𝗽𝗿𝗼𝗺𝗽𝘁 𝗶𝗻 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗮𝗻𝗱 𝗚𝗲𝗺𝗶𝗻𝗶 𝗶𝗻 𝟳 𝘀𝘁𝗲𝗽𝘀
1. Assign personas
2. Define your task
3. Set the tone
4. Break it down
5. Format and limits
6. Provide examples
7. Refine the prompt
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Keep yourself updated with Artificial Intelligence & latest technology
👇👇
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
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AI model capabilities table 👆
- Gemini 2.5 is now the best at coding
- ChatGPT is by far the best at image gen
This stuff changes fast.
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𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
- Introduction to SQL (Simplilearn)
- Intro to SQL (Kaggle)
- Introduction to Database & SQL Querying
- SQL for Beginners – Microsoft SQL Server
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Artificial Intelligence – Essential Concepts 🚀
1️⃣ Types of AI
Narrow AI (Weak AI) – Specialized in one task (Chatbots, Recommendation Systems).
General AI (Strong AI) – Human-like intelligence (Still theoretical).
Super AI – Beyond human intelligence (Future concept).
2️⃣ AI vs. Machine Learning vs. Deep Learning
AI – Broad field of simulating human intelligence.
Machine Learning – Subset of AI that learns from data.
Deep Learning – Subset of ML using neural networks.
3️⃣ Key AI Techniques
Machine Learning – Regression, Classification, Clustering.
Deep Learning – Neural Networks (ANN, CNN, RNN).
Natural Language Processing (NLP) – Text analysis, ChatGPT, Sentiment Analysis.
Computer Vision – Object detection, Image recognition.
Reinforcement Learning – AI learns from rewards (AlphaGo, Robotics).
4️⃣ AI Tools & Frameworks
TensorFlow, PyTorch – Deep learning.
Scikit-learn – Machine learning.
OpenCV – Computer vision.
NLTK, SpaCy – NLP.
5️⃣ AI in Real Life
Chatbots – ChatGPT, Google Bard.
Self-Driving Cars – Tesla, Waymo.
Healthcare AI – Disease detection, AI-assisted diagnosis.
Finance AI – Fraud detection, Stock predictions.
6️⃣ AI Ethics & Challenges
Bias in AI – Fairness in model predictions.
Data Privacy – GDPR, Responsible AI.
AI Explainability – Making AI decisions transparent.
Job Automation – AI replacing repetitive jobs.
7️⃣ Future of AI
AI & Quantum Computing – Next-gen AI speed.
Autonomous AI Agents – Self-learning AI systems.
AGI (Artificial General Intelligence) – Machines thinking like humans.
Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
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Essential Skills to Master for Using Generative AI
1️⃣ Prompt Engineering
✍️ Learn how to craft clear, detailed prompts to get accurate AI-generated results.
2️⃣ Data Literacy
📊 Understand data sources, biases, and how AI models process information.
3️⃣ AI Ethics & Responsible Usage
⚖️ Know the ethical implications of AI, including bias, misinformation, and copyright issues.
4️⃣ Creativity & Critical Thinking
💡 AI enhances creativity, but human intuition is key for quality content.
5️⃣ AI Tool Familiarity
🔍 Get hands-on experience with tools like ChatGPT, DALL·E, Midjourney, and Runway ML.
6️⃣ Coding Basics (Optional)
💻 Knowing Python, SQL, or APIs helps customize AI workflows and automation.
7️⃣ Business & Marketing Awareness
📢 Leverage AI for automation, branding, and customer engagement.
8️⃣ Cybersecurity & Privacy Knowledge
🔐 Learn how AI-generated data can be misused and ways to protect sensitive information.
9️⃣ Adaptability & Continuous Learning
🚀 AI evolves fast—stay updated with new trends, tools, and regulations.
Master these skills to make the most of AI in your personal and professional life! 🔥
