Artificial Intelligence

🤓🙌🏼 A handful of the most common data-related professions explained: - Data architect (concerned with managing and storing data). - Data engineer (concerned with building and maintaining data pipelines). - Data analyst (concerned with analysis and representation of data). - Machine learning engineer (concerned with developing and optimizing machine learning algorithms). - Data scientist (concerned with what insights data can offer). Read more: https://www.kdnuggets.com/2021/06/data-careers-crowd-solutions-architect.html 🦾

You don't need to buy a GPU for machine learning work! There are other alternatives. Here are some: 1. Google Colab 2. Kaggle 3. Deepnote 4. AWS SageMaker 5. GCP Notebooks 6. Azure Notebooks 7. Cocalc 8. Binder 9. Saturncloud 10. Datablore 11. IBM Notebooks Spend your time focusing on your problem.💪💪 Let others worry about the hardware!!

link: bit.ly/ai4all-course Key Offerings by AI for All: 1. Nicely curated questions in assignments to cover all important topics of Python, ML, SQL, Statistics, Model Deployment and Sagemaker. 2. Mentors available 10am to 10pm everyday(including weekends)to resolve all your assignment related queries. 3. Content(YouTube videos and blogs) collection in a structured way to learn all the concepts. 4. Lifetime Access to Assignments and Content collections. 5. Learners tracking and reminders for continuous learnings. 6. Self paced courses. 7. No prior coding experience required. 8. Interview Questions and answers.  9. 10+ Data Science projects that you can put in Resume. 10. Course Completion Certificate

link: bit.ly/ai4all-course Key Offerings by AI for All: 1. Nicely curated questions in assignments to cover all important topics of Python, ML, SQL, Statistics, Model Deployment and Sagemaker. 2. Mentors available 10am to 10pm everyday(including weekends)to resolve all your assignment related queries. 3. Content(YouTube videos and blogs) collection in a structured way to learn all the concepts. 4. Lifetime Access to Assignments and Content collections. 5. Learners tracking and reminders for continuous learnings. 6. Self paced courses. 7. No prior coding experience required. 8. Interview Questions and answers.  9. 10+ Data Science projects that you can put in Resume. 10. Course Completion Certificate

Amazing Hackthon Solved Data Science/ML Project Collection ⭐️ 167 https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions

Harvard University's introduction to computer science and the art of programming - CS50x 2021 Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web programming. Languages include C, Python, and SQL plus HTML, CSS, and JavaScript. https://cs50.harvard.edu/x/2021/ Week 0 Scratch Week 1 C Week 2 Arrays Week 3 Algorithms Week 4 Memory Week 5 Data Structures Week 6 Python Week 7 SQL Week 8 HTML, CSS, JavaScript Week 9 Flask Week 10 Ethics ➖➖➖➖➖➖➖➖➖➖➖➖ Join @bigdataspecialist for more