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Artificial Intelligence

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Admin: @PranavReal Free Resources for: 📌 Artificial Intelligence 📌 Machine Learning 📌 Deep Learning 📌 Data Science 📌 Python Programming

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New Data Scientists - When you learn, it's easy to get distracted by Machine Learning & Deep Learning terms like "XGBoost", "Neural Networks", "RNN", "LSTM" or Advanced Technologies like "Spark", "Julia", "Scala", "Go", etc. Don't get bogged down trying to learn every new term & technology you come across. Instead, focus on foundations. - data wrangling - visualizing - exploring - modeling - understanding the results. The best tools are often basic, Build yourself up. You'll advance much faster. Keep learning!

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List of Top Blogs on Artificial Intelligence To keep up to date on the latest industry news, artificial intelligence blogs are a valuable, yet sometimes overlooked, resource. They educate. They more narrowly focus on niche areas that textbooks and news publications may gloss over. And they provide fascinating insight into how some of the top minds in a particular industry work. In the world of artificial intelligence, there is an abundance of blogs that offer illuminating perspectives on recent trends, new products, and industry news. For any budding machine learning engineer, spending time in the AI blogosphere will not only help your prospects for career advancement but also keep you connected to the broader AI community. However, there are tons of machine learning, artificial intelligence, and deep learning options out there. So, to save you some time, i compiled a list of the best blogs that you should keep on your radar. Here are Top blogs you should add to your reading lists 1. Open AI https://openai.com/ 2. Adrian Rosebrockhttps://www.pyimagesearch.com/ 3. AI Trends https://www.aitrends.com/ 4. Algorithmia https://blog.algorithmia.com/ 5. AITopics (An official publication of the AAAI.) https://aitopics.org/search 6. Machine Learning Mastery by Jason Brownlee https://machinelearningmastery.com/about/ 7. MIT AI Blog http://news.mit.edu/topic/artificial-intelligence2 8. Andreessen Horowitz http://aiplaybook.a16z.com/docs/intro/getting-started 9. C T Vision https://ctovision.com/ 10. Chatbots Magazine (The #1 place to learn about chatbots.) https://chatbotsmagazine.com/ 11. Machine Intelligence Research Institute (MIRI)  https://intelligence.org/blog/ 12. Chatbots Life (Best Place to Learn About Bots) https://chatbotslife.com/ 13. 33 rd square https://www.33rdsquare.com/ 14. Machine Learnings https://machinelearnings.co/ 15. Artificial Intelligence Blogs https://www.artificial-intelligence.blog/news/

List of Top Blogs on Artificial Intelligence To keep up to date on the latest industry news, artificial intelligence blogs are a valuable, yet sometimes overlooked, resource. They educate. They more narrowly focus on niche areas that textbooks and news publications may gloss over. And they provide fascinating insight into how some of the top minds in a particular industry work. In the world of artificial intelligence, there is an abundance of blogs that offer illuminating perspectives on recent trends, new products, and industry news. For any budding machine learning engineer, spending time in the AI blogosphere will not only help your prospects for career advancement but also keep you connected to the broader AI community. However, there are tons of machine learning, artificial intelligence, and deep learning options out there. So, to save you some time, i compiled a list of the best blogs that you should keep on your radar. Here are Top blogs you should add to your reading lists 1. Machine Learning Mastery by Jason Brownlee https://machinelearningmastery.com/about/ 2.Adrian Rosebrock https://www.pyimagesearch.com/ 3. AI Trends https://www.aitrends.com/ 4. Algorithmia https://blog.algorithmia.com/ 5. AITopics (An official publication of the AAAI.) https://aitopics.org/search 6. Open AI https://openai.com/ 7. MIT AI Blog http://news.mit.edu/topic/artificial-intelligence2 8. Andreessen Horowitz http://aiplaybook.a16z.com/docs/intro/getting-started 9. C T Vision https://ctovision.com/ 10. Chatbots Magazine (The #1 place to learn about chatbots.) https://chatbotsmagazine.com/ 11. Machine Intelligence Research Institute (MIRI)  https://intelligence.org/blog/ 12. Chatbots Life (Best Place to Learn About Bots) https://chatbotslife.com/ 13. 33 rd square https://www.33rdsquare.com/ 14. Artificial Intelligence Blogs https://www.artificial-intelligence.blog/news/ 15. Machine Learnings https://machinelearnings.co/

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New Data Scientists - When you learn, it's easy to get distracted by Machine Learning & Deep Learning terms like "XGBoost", "Neural Networks", "RNN", "LSTM" or Advanced Technologies like "Spark", "Julia", "Scala", "Go", etc. Don't get bogged down trying to learn every new term & technology you come across. Instead, focus on foundations. - data wrangling - visualizing - exploring - modeling - understanding the results. The best tools are often basic, Build yourself up. You'll advance much faster. Keep learning!

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Master the art of Machine Learning and python by Learning from Real World Advanced Projects designed & developed by real developers. 󰞪Are you one who knows the basics of Python/Machine Learning/Deep Learning/ Data Science/ Computer Vision or NLP but has not practiced on Real World Advanced Projects? 󰞪Are you in the final year of your college but have not made any real-world projects till now? Or are you a professional who wants to switch to a Data-Oriented job but does not have any real-world projects to showcase in your resume? Don’t worry dude... We have something for you. This Dragon bundle is divided into two modules, 📌Module 1: 350+ Machine Learning Projects. 📌Module 2: 200+ Advanced Python Projects. ➡️ Get complete list of projects from our website (Link is in bio). ⚫But Why? ➡️ Learn by working like a professional developer. ➡️ Build a GitHub portfolio that impress the recruiters. ➡️ Stand out with real-proof of work. ➡️ Its more than 550+ real-world projects, almost in every areas you are going to work in the field of Machine Learning. All Projects come with source code in Python3 and dataset. Also, each project comes with proper documentation, requirements, and the HowtoRun instructions file so that even beginners can understand the logic and workflow behind the projects. For more details, visit our website. Link: https://tensorprojects.com/dragonbundle