Artificial Intelligence

𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 - 𝐀 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 A project-based data science curriculum for beginners with amazing lessons, notes, and assignments. 10 weeks, 20 lessons in Python. Really great initiative by Microsoft. ❤️ https://github.com/microsoft/Data-Science-For-Beginners

YouTube Playlists to Learn Machine Learning and Deep Learning. YouTube Playlists by Krish Naik ---> Machine Learning Deep Learning YouTube Playlists by Codebasics ---> Machine Learning Deep Learning YouTube Playlists by Andrew Ng ---> Machine Learning Deep Learning YouTube Playlists by Sentdex ---> Machine Learning Deep Learning YouTube Playlists by Simplilearn ---> Machine Learning Deep Learning YouTube Playlists by edureka! ---> Machine Learning Deep Learning YouTube Playlists by FreeCodeCamp ---> ML+DL 👉 Join @Artificial_Intelligence_DS for More

ULTIMATE Job Guarantee Data Science Training Program Link: https://bit.ly/3wkMyx5

We have launched our own Python Ebook in which you will learn Python basics with some important advance topics and at last of the book i have given 5 interesting Python Projects with code.The price for the first 100 people is 29 inr and after that the price will be increased to 99 inr.With the help of this Ebook you can learn Python in just 11 days. Link: imojo.in/7tOZ1h

Top 8 Github Repos to Learn Data Science and Python 1. All algorithms implemented in Python By: The Algorithms Stars ⭐️: 135K Fork: 35.3K Repo: https://github.com/TheAlgorithms/Python 2. DataScienceResources By: jJonathan Bower Stars ⭐️: 3K Fork: 1.3K Repo: https://github.com/jonathan-bower/DataScienceResources 3. Playground and Cheatsheet for Learning Python By: Oleksii Trekhleb ( Also the Image) Stars ⭐️: 12.5K Fork: 2K Repo: https://github.com/trekhleb/learn-python 4. Learn Python 3 By: Jerry Pussinen Stars ⭐️: 4,8K Fork: 1,4K Repo: https://github.com/jerry-git/learn-python3 5. Awesome Data Science By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol. Stars ⭐️: 18.4K Fork: 5K Repo: https://github.com/academic/awesome-datascience 6. data-scientist-roadmap By: MrMimic Stars ⭐️: 5K Fork: 1.5K Repo: https://github.com/MrMimic/data-scientist-roadmap 7. Data Science Best Resources By: Tirthajyoti Sarkar Stars ⭐️: 1.8K Fork: 717 Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md 8. Ds-cheatsheets By: Favio André Vázquez Stars ⭐️: 10.4K Fork: 3.1K Repo: https://github.com/FavioVazquez/ds-cheatsheets

AI/DL Certificates: No one cares about certificates in our business. Period. If you learn something while you get the certificate, sure. Get one print out and post it on your wall then. It does make an office less boring. AI/DL Degrees: If you do interesting projects, and you gain understanding and skills out of the projects, then an AI degree is good for you. Otherwise, no one cares about your degrees. What about a PhD or a master? That depends on the quality of your publications, see below. AI/DL Projects: If you actually do the projects, but not copying from "10-lines to do object detection" you see on-line, and you actually understand the principles of the techniques you are using, then those projects would be great experience for you. Otherwise, no one cares if you had done 1000 projects in your life. AI/DL Publications: If the writing process makes you think of a novel technique in the field, absolutely! Or you gain fundamental understanding of a class of algorithms when you research the background, sure that matters a lot! That's why graduates who has past publications are usually strong candidates for many big companies ML department. (Make sure you can answer questions about your own publication though!) AI/DL Blog Posts You Write: If the quality of the blog is like a paper, sure. But if you just copy from "10-lines to do object detection" , no one cares. Great Programming Skill: If that means you have source-level understanding of a major deep learning framework, wooooh, I would love to see your resume! What if you know 7 different ways to do string manipulation in python? That certainly is an interesting programming skill, but programming skill does not equal to ML skill. So again, no one cares. In a nutshell, what matters most is whether you genuinely understand the field. Credits: Arthur Chan

COURSE GIVEAWAY ALERT ⚠️ Codingminutes is turning 1. Yes you heard that right! And as a reward, we are giving 1000 courses absolutely for free. Coding Minutes is one of the most popular platforms for coders to learn programming at affordable prices. Our courses are rated as high as 4.7 ⭐/5 and we are home to almost 65,000 students Click on link to Enter in Giveaway 👇 https://forms.gle/pNMtLz5ut3v9nQPM6 ✅ And get a chance to win our much-loved courses!" So what you're waiting for check this out now! ✅🔥

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

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

Create intelligent bots in minutes with the powerful no-code chatbot builder inqoob 🤖 Advanced Features: ✔️ Constructor in a dialog format without complicated schemes; ✔️ Unlimited mobile version; ✔️ Visual editor and emulator; ✔️ And much more. What else? Shop with ready-to-use chatbot solutions for various niches 💥  Those solutions are a way to reduce the time it takes to build bots and buy a bot that can be adapted to your own needs in a few minutes. We plan to launch the inqoob store in June, don't miss the release 👍🏻🔥  The beta version of the chatbot builder is ready. We are actively testing it now and actively selecting categories and themes for bots in our store. Want to join our community and become a tester? Subscribe to the channel and put "+" under any post to join the private chat of testers 👇 https://t.me/+v3xv_5oq5G83MGI6

🎓 Introduction to Deep Learning (by MIT) 🎓 This is one of the top high-quality courses to learn the foundational knowledge of deep learning. All lectures have been uploaded. 100% Free! https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI Course website http://introtodeeplearning.com/

🎓 Introduction to Deep Learning (by MIT) 🎓 This is one of the top high-quality courses to learn the foundational knowledge of deep learning. All lectures have been uploaded. 100% Free! https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI Course website http://introtodeeplearning.com/

Opportunity to be a part of the *Dell Futurist Programme* 💻 We are looking for students across the country who are interested in :⤵️ • Gaming • Video Editomg • Designing • Coding • Data Science • Music Creatiom • Photography And are active in various social clubs. Apply here if you want to get a chance to grow your passion and own a *Dell Laptop*: https://docs.google.com/forms/d/e/1FAIpQLScKYAZZpfrOLYQp_lxfXGGE5sY37P_NSfwYfEJc7fpe-aeGmw/viewform?usp=sf_link

Top free Data Science resources 1. CS109 Data Science http://cs109.github.io/2015/pages/videos.html 2. Data Science Essentials https://www.edx.org/course/data-science-essentials 3. Learning From Data from California Institute of Technology http://work.caltech.edu/telecourse 4. Mathematics for Machine Learning by University of California, Berkeley https://gwthomas.github.io/docs/math4ml.pdf?fbclid=IwAR2UsBgZW9MRgS3nEo8Zh_ukUFnwtFeQS8Ek3OjGxZtDa7UxTYgIs_9pzSI 5. Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan https://www.cs.cornell.edu/jeh/book.pdf?fbclid=IwAR19tDrnNh8OxAU1S-tPklL1mqj-51J1EJUHmcHIu2y6yEv5ugrWmySI2WY 6. Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/?fbclid=IwAR34IRk2_zZ0ht7-8w5rz13N6RP54PqjarQw1PTpbMqKnewcwRy0oJ-Q4aM 7. CS 221 ― Artificial Intelligence https://stanford.edu/~shervine/teaching/cs-221/ 8. Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science https://ocw.mit.edu/courses/mathematics/18-s096-topics-in-mathematics-of-data-science-fall-2015/lecture-notes/MIT18_S096F15_TenLec.pdf 9. Python for Data Analysis by Boston University https://www.bu.edu/tech/files/2017/09/Python-for-Data-Analysis.pptx 10. Data Mining bu University of Buffalo https://cedar.buffalo.edu/~srihari/CSE626/index.html?fbclid=IwAR3XZ50uSZAb3u5BP1Qz68x13_xNEH8EdEBQC9tmGEp1BoxLNpZuBCtfMSE

We have launched a Python Ebook in which you will learn Python basics with some important advance topics and at last of the book i have given 5 interesting Python Projects with code.The price for the first 100 people is 29 inr and after that the price will be increased to 99 inr.With the help of this Ebook you can learn Python in just 11 days. Link: imojo.in/7tOZ1h