• Open Machine Learning Course. Office hours

    Online event

    Office hours for the Open Machine Learning Course by ODS Dubai. Link to join will be shared in #mlcourse_dubai channel of the ODS slack. Participants of the course will be able to ask any question to lecturers. If you are not a student of the course, you still can attend and ask questions about any topic around Data Science in general and in Dubai particularly. If you are not still in the slack, drop a message to [masked]

  • Open Machine Learning Course. Topic 10: Gradient boosting

    This is ONLINE event, the link will be provided in #mlcourse_dubai channel in ODS slack. Drop message to [masked] if you want to join the slack. ---------------------------------------------------------------------------------------- Open Machine Learning Course (based on https://mlcourse.ai/) is in Dubai now! The course is free and designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. Therefore, prerequisites include: Python and Math. Prerequisite 1: Pyhton Basic skills are required: writing loops, functions, classes etc. Passing some interactive tutorial like DataQuest, DataCamp or even CodeAcademy will suffice. However, deeper dive into Python is only appreciated, there will be some tasks where you have to implement an ML algo from scratch. Prerequisite 2: Math Knowledge of basic concepts from calculus, linear algebra, probability theory, and statistics is also required. If you need to catch up, a good resource will be Part I of the “Deep Learning” book or “Mathematics for Machine Learning”. For a deeper dive take a look at MIT courses. The team: - Pavel Nesterov, Principal Data Scientist @ Reaktor (http://linkedin.com/in/nesterovpavel) - Yuri Chekalin, Data Scientist & Pre-Sales Solution Architect @ FICO (https://www.linkedin.com/in/ychekalin/) - Dmitriy Dovgan, Data Science Manager @ VISA (https://www.linkedin.com/in/dmitriy-dovgan-15b22585/) - Shams Shapsough, CEO @ Exordium (https://www.linkedin.com/in/sh-shapsough/) - Dmitry Denisov, Data Scientist @ Deloitte (https://www.linkedin.com/in/dmitry-denisov-022102103/) - Pavel Golubev, Principal Data Scientist @ Reaktor, CEO & Founder @ MaritimeAI (https://www.linkedin.com/in/pavel-golubev/) The course is organised by Open Data Science community (https://ods.ai/en/). Thanks to the Hult International Business School (https://www.hult.edu/) for hosting us for the 11 weeks. Thanks for supporting the course: - Reaktor (https://www.reaktor.ae/) - FICO (https://www.fico.com/) - Exordium (https://www.exordium.ae/) - VISA (https://ae.visamiddleeast.com/) - Deloitte (https://www2.deloitte.com/ae/en.html) - Chalhoub (http://www.chalhoubgroup.com/) Want to become a sponsor and support the community? PLZ drop an email to [masked]

  • Open Machine Learning Course. Topic 9: Time Series Analysis

    This is ONLINE event, the link will be provided in #mlcourse_dubai channel in ODS slack. Drop message to [masked] if you want to join the slack. ---------------------------------------------------------------------------------------- Open Machine Learning Course (based on https://mlcourse.ai/) is in Dubai now! The course is free and designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. Therefore, prerequisites include: Python and Math. Prerequisite 1: Pyhton Basic skills are required: writing loops, functions, classes etc. Passing some interactive tutorial like DataQuest, DataCamp or even CodeAcademy will suffice. However, deeper dive into Python is only appreciated, there will be some tasks where you have to implement an ML algo from scratch. Prerequisite 2: Math Knowledge of basic concepts from calculus, linear algebra, probability theory, and statistics is also required. If you need to catch up, a good resource will be Part I of the “Deep Learning” book or “Mathematics for Machine Learning”. For a deeper dive take a look at MIT courses. The team: - Pavel Nesterov, Principal Data Scientist @ Reaktor (http://linkedin.com/in/nesterovpavel) - Yuri Chekalin, Data Scientist & Pre-Sales Solution Architect @ FICO (https://www.linkedin.com/in/ychekalin/) - Dmitriy Dovgan, Data Science Manager @ VISA (https://www.linkedin.com/in/dmitriy-dovgan-15b22585/) - Shams Shapsough, CEO @ Exordium (https://www.linkedin.com/in/sh-shapsough/) - Dmitry Denisov, Data Scientist @ Deloitte (https://www.linkedin.com/in/dmitry-denisov-022102103/) - Pavel Golubev, Principal Data Scientist @ Reaktor, CEO & Founder @ MaritimeAI (https://www.linkedin.com/in/pavel-golubev/) The course is organised by Open Data Science community (https://ods.ai/en/). Thanks to the Hult International Business School (https://www.hult.edu/) for hosting us for the 11 weeks. Thanks for supporting the course: - Reaktor (https://www.reaktor.ae/) - FICO (https://www.fico.com/) - Exordium (https://www.exordium.ae/) - VISA (https://ae.visamiddleeast.com/) - Deloitte (https://www2.deloitte.com/ae/en.html) - Chalhoub (http://www.chalhoubgroup.com/) Want to become a sponsor and support the community? PLZ drop an email to [masked]

  • Open Machine Learning Course. Office hours

    Online event

    Office hours for the Open Machine Learning Course by ODS Dubai. Link to join will be shared in #mlcourse_dubai channel of the ODS slack. Participants of the course will be able to ask any question to lecturers. If you are not a student of the course, you still can attend and ask questions about any topic around Data Science in general and in Dubai particularly. If you are not still in the slack, drop a message to [masked]

  • Open Machine Learning Course. Topic 8: Stochastic Gradient Descent

    This is ONLINE event, the link will be provided in #mlcourse_dubai channel in ODS slack. Drop message to [masked] if you want to join the slack. ---------------------------------------------------------------------------------------- Open Machine Learning Course (based on https://mlcourse.ai/) is in Dubai now! The course is free and designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. Therefore, prerequisites include: Python and Math. Prerequisite 1: Pyhton Basic skills are required: writing loops, functions, classes etc. Passing some interactive tutorial like DataQuest, DataCamp or even CodeAcademy will suffice. However, deeper dive into Python is only appreciated, there will be some tasks where you have to implement an ML algo from scratch. Prerequisite 2: Math Knowledge of basic concepts from calculus, linear algebra, probability theory, and statistics is also required. If you need to catch up, a good resource will be Part I of the “Deep Learning” book or “Mathematics for Machine Learning”. For a deeper dive take a look at MIT courses. The team: - Pavel Nesterov, Principal Data Scientist @ Reaktor (http://linkedin.com/in/nesterovpavel) - Yuri Chekalin, Data Scientist & Pre-Sales Solution Architect @ FICO (https://www.linkedin.com/in/ychekalin/) - Dmitriy Dovgan, Data Science Manager @ VISA (https://www.linkedin.com/in/dmitriy-dovgan-15b22585/) - Shams Shapsough, CEO @ Exordium (https://www.linkedin.com/in/sh-shapsough/) - Dmitry Denisov, Data Scientist @ Deloitte (https://www.linkedin.com/in/dmitry-denisov-022102103/) - Pavel Golubev, Principal Data Scientist @ Reaktor, CEO & Founder @ MaritimeAI (https://www.linkedin.com/in/pavel-golubev/) The course is organised by Open Data Science community (https://ods.ai/en/). Thanks to the Hult International Business School (https://www.hult.edu/) for hosting us for the 11 weeks. Thanks for supporting the course: - Reaktor (https://www.reaktor.ae/) - FICO (https://www.fico.com/) - Exordium (https://www.exordium.ae/) - VISA (https://ae.visamiddleeast.com/) - Deloitte (https://www2.deloitte.com/ae/en.html) - Chalhoub (http://www.chalhoubgroup.com/) Want to become a sponsor and support the community? PLZ drop an email to [masked]

  • Open Machine Learning Course. Topic 7: Unsupervised learning

    This is ONLINE event, the link will be provided in #mlcourse_dubai channel in ODS slack. Drop message to [masked] if you want to join the slack. ---------------------------------------------------------------------------------------- Open Machine Learning Course (based on https://mlcourse.ai/) is in Dubai now! The course is free and designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. Therefore, prerequisites include: Python and Math. Prerequisite 1: Pyhton Basic skills are required: writing loops, functions, classes etc. Passing some interactive tutorial like DataQuest, DataCamp or even CodeAcademy will suffice. However, deeper dive into Python is only appreciated, there will be some tasks where you have to implement an ML algo from scratch. Prerequisite 2: Math Knowledge of basic concepts from calculus, linear algebra, probability theory, and statistics is also required. If you need to catch up, a good resource will be Part I of the “Deep Learning” book or “Mathematics for Machine Learning”. For a deeper dive take a look at MIT courses. The team: - Pavel Nesterov, Principal Data Scientist @ Reaktor (http://linkedin.com/in/nesterovpavel) - Yuri Chekalin, Data Scientist & Pre-Sales Solution Architect @ FICO (https://www.linkedin.com/in/ychekalin/) - Dmitriy Dovgan, Data Science Manager @ VISA (https://www.linkedin.com/in/dmitriy-dovgan-15b22585/) - Shams Shapsough, CEO @ Exordium (https://www.linkedin.com/in/sh-shapsough/) - Dmitry Denisov, Data Scientist @ Deloitte (https://www.linkedin.com/in/dmitry-denisov-022102103/) - Pavel Golubev, Principal Data Scientist @ Reaktor, CEO & Founder @ MaritimeAI (https://www.linkedin.com/in/pavel-golubev/) The course is organised by Open Data Science community (https://ods.ai/en/). Thanks to the Hult International Business School (https://www.hult.edu/) for hosting us for the 11 weeks. Thanks for supporting the course: - Reaktor (https://www.reaktor.ae/) - FICO (https://www.fico.com/) - Exordium (https://www.exordium.ae/) - VISA (https://ae.visamiddleeast.com/) - Deloitte (https://www2.deloitte.com/ae/en.html) - Chalhoub (http://www.chalhoubgroup.com/) Want to become a sponsor and support the community? PLZ drop an email to [masked]

  • Open Machine Learning Course. Office hours

    Online event

    Office hours for the Open Machine Learning Course by ODS Dubai. Link to join will be shared in #mlcourse_dubai channel of the ODS slack. Participants of the course will be able to ask any question to lecturers. If you are not a student of the course, you still can attend and ask questions about any topic around Data Science in general and in Dubai particularly. If you are not still in the slack, drop a message to [masked]

  • Open Machine Learning Course. Topic 6: Logistic regression

    This is ONLINE event, the link will be provided in #mlcourse_dubai channel in ODS slack. Drop message to [masked] if you want to join the slack. ---------------------------------------------------------------------------------------- Open Machine Learning Course (based on https://mlcourse.ai/) is in Dubai now! The course is free and designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. Therefore, prerequisites include: Python and Math. Prerequisite 1: Pyhton Basic skills are required: writing loops, functions, classes etc. Passing some interactive tutorial like DataQuest, DataCamp or even CodeAcademy will suffice. However, deeper dive into Python is only appreciated, there will be some tasks where you have to implement an ML algo from scratch. Prerequisite 2: Math Knowledge of basic concepts from calculus, linear algebra, probability theory, and statistics is also required. If you need to catch up, a good resource will be Part I of the “Deep Learning” book or “Mathematics for Machine Learning”. For a deeper dive take a look at MIT courses. The team: - Pavel Nesterov, Principal Data Scientist @ Reaktor (http://linkedin.com/in/nesterovpavel) - Yuri Chekalin, Data Scientist & Pre-Sales Solution Architect @ FICO (https://www.linkedin.com/in/ychekalin/) - Dmitriy Dovgan, Data Science Manager @ VISA (https://www.linkedin.com/in/dmitriy-dovgan-15b22585/) - Shams Shapsough, CEO @ Exordium (https://www.linkedin.com/in/sh-shapsough/) - Dmitry Denisov, Data Scientist @ Deloitte (https://www.linkedin.com/in/dmitry-denisov-022102103/) - Pavel Golubev, Principal Data Scientist @ Reaktor, CEO & Founder @ MaritimeAI (https://www.linkedin.com/in/pavel-golubev/) The course is organised by Open Data Science community (https://ods.ai/en/). Thanks to the Hult International Business School (https://www.hult.edu/) for hosting us for the 11 weeks. Thanks for supporting the course: - Reaktor (https://www.reaktor.ae/) - FICO (https://www.fico.com/) - Exordium (https://www.exordium.ae/) - VISA (https://ae.visamiddleeast.com/) - Deloitte (https://www2.deloitte.com/ae/en.html) - Chalhoub (http://www.chalhoubgroup.com/) Want to become a sponsor and support the community? PLZ drop an email to [masked]