Artificial Intelligence
Открыть в Telegram
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data
Больше
Сеть:📈 Аналитический обзор Telegram-канала Artificial Intelligence
Канал Artificial Intelligence (@machinelearning_deeplearning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 55 360 подписчиков, занимая 3 050 место в категории Образование и 6 215 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 55 360 подписчиков.
Согласно последним данным от 29 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 665, а за последние 24 часа — 20, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.14%. В первые 24 часа после публикации контент обычно набирает 1.33% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 3 400 просмотров. В течение первых суток публикация набирает 736 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 26.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, classification, layer, pattern, chatbot.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“🔰 Machine Learning & Artificial Intelligence Free Resources
🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more
For Promotions: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 30 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
55 360
Подписчики
+2024 часа
+1197 дней
+66530 день
Архив постов
55 360
To automate your daily tasks using ChatGPT, you can follow these steps:
1. Identify Repetitive Tasks: Make a list of tasks that you perform regularly and that can potentially be automated.
2. Create ChatGPT Scripts: Use ChatGPT to create scripts or workflows for automating these tasks. You can use the API to interact with ChatGPT programmatically.
3. Integrate with Other Tools: Integrate ChatGPT with other tools and services that you use to streamline your workflow. For example, you can connect ChatGPT with task management tools, calendar apps, or communication platforms.
4. Set up Triggers: Set up triggers that will initiate the automated tasks based on certain conditions or events. This could be a specific time of day, a keyword in a message, or any other criteria you define.
5. Test and Iterate: Test your automated workflows to ensure they work as expected. Make adjustments as needed to improve efficiency and accuracy.
6. Monitor Performance: Keep an eye on how well your automated tasks are performing and make adjustments as necessary to optimize their efficiency.
55 360
𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗙𝗥𝗘𝗘 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗩𝗶𝗱𝗲𝗼𝘀!😍
Want to become a Data Analytics pro?🔥
These tutorials simplify complex topics into easy-to-follow lessons✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4k5x6vx
No more excuses—just pure learning!✅️
55 360
+3
🔗 Master 8 Essential Machine Learning Algorithms
To truly master these foundational algorithms
It's crucial to dive deeper into their real-world applications and understand how AI is shaping the future.That's where "The Most Effective Guide to Master AI" comes in! This comprehensive guide covers everything you need to know: - Real-world AI applications - Computer Vision - Generative Models - Essential AI tools
55 360
𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍
Want to break into Machine Learning without spending a fortune?💡
This 100% FREE course is your ultimate guide to learning ML with Python from scratch!✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4k9xb1x
💻 Start Learning Now → Enroll Here✅️
55 360
🚀 Here’s your step-by-step guide! From simple coding to hands-on projects and expert topics.
55 360
Essential Data Analysis Techniques Every Analyst Should Know
1. Descriptive Statistics: Understanding measures of central tendency (mean, median, mode) and measures of spread (variance, standard deviation) to summarize data.
2. Data Cleaning: Techniques to handle missing values, outliers, and inconsistencies in data, ensuring that the data is accurate and reliable for analysis.
3. Exploratory Data Analysis (EDA): Using visualization tools like histograms, scatter plots, and box plots to uncover patterns, trends, and relationships in the data.
4. Hypothesis Testing: The process of making inferences about a population based on sample data, including understanding p-values, confidence intervals, and statistical significance.
5. Correlation and Regression Analysis: Techniques to measure the strength of relationships between variables and predict future outcomes based on existing data.
6. Time Series Analysis: Analyzing data collected over time to identify trends, seasonality, and cyclical patterns for forecasting purposes.
7. Clustering: Grouping similar data points together based on characteristics, useful in customer segmentation and market analysis.
8. Dimensionality Reduction: Techniques like PCA (Principal Component Analysis) to reduce the number of variables in a dataset while preserving as much information as possible.
9. ANOVA (Analysis of Variance): A statistical method used to compare the means of three or more samples, determining if at least one mean is different.
10. Machine Learning Integration: Applying machine learning algorithms to enhance data analysis, enabling predictions, and automation of tasks.
Like this post if you need more 👍❤️
Hope it helps :)
55 360
𝗙𝗥𝗘𝗘 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
1)Business Analysis – Foundation
2)Business Analysis Fundamentals
3)The Essentials of Business & Risk Analysis
4)Master Microsoft Power BI
𝗟𝗶𝗻𝗸 👇:-
https://pdlink.in/4hHxBdW
Enroll For FREE & Get Certified🎓
55 360
"I am an AI Tools & ChatGPT Expert, and my salary package is 42 LPA."
Sounds familiar? If you’ve been on YouTube recently, I’m sure you’ve seen this ad at least 100 times. Now, I have just one simple question – Can someone please tell me which companies are hiring for this role and paying 42 LPA? Because I’m also considering a career switch! 😂
See guys, learning how to use a few AI tools won't magically get you a 42 LPA job. Selling courses isn’t wrong, but selling them by giving false hopes is. Just because someone tells you that learning how to use a few AI tools will instantly land you a high-paying job doesn’t make it true.
So, a humble request – don’t fall for these unrealistic promises. Invest in courses only to upskill yourself, not with the expectation of overnight success.
If anyone actually finds this 42 LPA AI Tools & ChatGPT Expert job, please let me know. I’ll also update my resume! 🤣
55 360
Master AI in 2025 – A Quick Roadmap 🚀
AI can be overwhelming, but following a structured path makes it easier. Here’s the roadmap:
1. Build Strong Foundations Learn Python, data structures, linear algebra, statistics & version control before diving into AI.
2. Work with Data Clean, preprocess & visualize datasets using Pandas, Seaborn, and Matplotlib for hands-on experience.
3. Master Machine Learning Understand supervised & unsupervised learning, regression, decision trees & implement models with Scikit-Learn.
4. Explore Deep Learning Learn neural networks, CNNs, RNNs, and Transformers using TensorFlow & PyTorch for AI applications.
5. Choose an AI Specialization Focus on NLP, computer vision, reinforcement learning, or AI in business and healthcare.
6. Learn Large Language Models (LLMs) Work with GPT, LLaMA, fine-tuning, Retrieval-Augmented Generation (RAG), and AI APIs.
7. Master AI Deployment & MLOps Deploy models using Flask, FastAPI, Docker, Kubernetes, and automate pipelines.
55 360
𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗿𝗼𝗺 𝗚𝗹𝗼𝗯𝗮𝗹 𝗚𝗶𝗮𝗻𝘁𝘀!😍
Want real-world experience in 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜?
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4hZlkAW
🔗 Save & share this post with someone who needs it!
55 360
Get all AI courses, tracks, certifications and projects for FREE this week 🚀
🔗 Registeration link👇 https://datacamp.pxf.io/6ygRrQ
Like for more ❤️
55 360
𝗚𝗲𝘁 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗜𝗧 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 – 𝗡𝗼 𝗖𝗼𝘀𝘁!😍
Why spend thousands on courses when the world’s top universities offer them for FREE? 🤯
This website gives you unlimited access to high-quality courses from:
✅ 𝗛𝗮𝗿𝘃𝗮𝗿𝗱
✅ 𝗠𝗜𝗧
✅ 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱
✅ 𝗬𝗮𝗹𝗲 & 𝗠𝗼𝗿𝗲!
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4aY7jBi
📌 Save this & tag a friend who needs to see this! 🚀
55 360
Repost from Old Glory Vortex
Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup 🇺🇸🔥
🚨 Major moves from President Trump:
💰Tariffs on China: Trump announced that he has imposed import duties totaling 600 billion rubles—more than any other U.S. president before him.
⚡️Energy Dominance: Trump signed an executive order creating the National Council for Energy Dominance, chaired by Secretary of State Bergum, aiming to unleash America’s full energy potential.
🚫COVID-19 Vaccine Ban in Schools: Schools receiving federal funding can no longer require the COVID-1COVID-19 vaccine—a decisive move that shuts down speculation about Trump's stance on vaccines.
📉Reports suggest the IRS is prepaIRS is preparing mass layoffs next week followingmajor audit of the agency.
🔥Bold moves, big changes—what’s next?
#Trump #Tariffs #EnergyDominance #COVID19 #VaccineBan #IRS #China #AmericaFirst #BreakingNews
Don't miss it, subscribe to
📱 Old Glory Vortex 🇺🇸
55 360
𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
Want to master Python and level up your data analytics skills?✨️
These high-quality tutorials to help you go from beginner to pro!✅️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4hXQOHQ
📢 No cost, no catch – just pure learning! 🚀
