Lena Toncev’s Post

I am very proud to have completed MIT’s Applied Data Science Program: Leveraging AI for Effective Decision-Making! This experience deepened my understanding of AI and data science. Throughout this course I completed several projects including building a deep learning model to determine if red blood cells are infected with malaria. I am excited to apply these skills to real-world challenges and continue growing in this dynamic field! #DataScience #AI #LifelongLearning #MIT

Completed the MIT professional education certificate program on No Code AI & ML. Supper course. Highly recommend joining the ecosystem.

🎓 Just completed the "No Code AI and Machine Learning: Building Data Science Solutions" course by MIT Professional Education! 🚀 I gained valuable insights into AI techniques and the latest trends in the field, all without needing to code. This course has broadened my understanding of building data science solutions and how no-code platforms can simplify complex AI processes. Excited to apply these learnings in Power System Studies! #AI #MachineLearning #NoCode #DataScience #LifelongLearning #MITProfessionalEducation

Today is the last day for submission of papers for the 𝐊𝐃𝐃 2024 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐀𝐈 𝐟𝐨𝐫 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 (𝐀𝐈4𝐄𝐃𝐔): 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐋𝐋𝐌 𝐚𝐧𝐝 𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠. Submissions of innovative solutions for a broad range of AI for Education problems are encouraged at the link below: Topics of interest include but are not limited to the following: - Mining multimodal data for comprehensive learning analytics in LLM-aided education. - Challenges and opportunities in integrating LLMs with existing adaptive learning systems. - Adaptive learning and mining systems and their applications in educational settings. - Predictive modeling in education using LLMs for student success and retention. - The potential of LLMs in education from both the theoretical and practical angles. - Ethical considerations in the use of LLMs as interfaces in educational settings, especially with AI standards committee. - Frameworks for standardization and benchmarking of LLMs in educational technology. - Data-driven approaches to curriculum development using LLM insights. - Data-driven approaches to curriculum development using LLM insights. - LLMs role in automated assessment and real-time feedback for students. - The future of LLMs in education: trends, potentials, and unforeseen consequences. 𝐊𝐃𝐃'24-𝐀𝐈4𝐄𝐃𝐔 workshop is organised with: Joleen Liang, Co-Founder, Squirrel Ai Learning Carles Sierra, Professor & Director IIIA of the Spanish National Research Council Rose Luckin, Professor, University College London, Founder/CEO EDUCATE Ventures Research Richard Tong, Chief Architect, Squirrel Ai Learning Jerry Zitao Liu, Professor, Jinan University Peng Cui Jiliang Tang, University Foundation Professor, Michigan State University #ai #machinelearning #edtech #technology #apps #research #reports #data #generativeai #llms #standards #regulation #policy https://lnkd.in/eBQwrWig

I just finished the module on Advanced Machine Learning Techniques from my post graduate program at UTA! The module culminated with a challenging project requiring more than 20 different Machine Learning models using oversampling, undersampling and other techniques to fine-tune the models and find the best one in the end to make the best business recommendations. Excited to start my next module: Intro to Neural Networks! Frederick van Lingen has successfully completed a project on Credit Card Users Churn Prediction as a part of PGP-AIML at Great Learning Analyze the data and come up with a predictive model to determine if a customer will leave the credit card services or not and the reason behind it. #HandsOnProject #EDA #RANDOMFOREST #Bagging #Boosting #SMOTE #CrossValidation #DataPreprocessing #HyperparameterTuning #MyGreatLearning

I am currently enrolled in an incredible 12-week No-Code ML/AI program offered by MIT and Great Learning, and the journey is nearing its end. What sets this course apart is its extensive case studies that cover a wide range of business domains, as well as its democratized AI approach and No Code tools for integrating AI into everyday operations. Throughout the program, I have gained mastery in new areas such as Generative AI, Prompt Engineering, and Recommendation Systems, while also refining my existing knowledge and competencies in other fields of Machine Learning and AI.

Exited to share my journey into Data Science and AI I have recently completed three diverse and exciting projects, which are now showcased in my e-protfolio.These project allowed me to deepen my knowledge in AI, machine learning and data science, while solving real world problems. Each project taught me new ways to harness data for impactful decision-making and innovation solutions. check out my portfolio for details, and feel free to connect if you would like to discuss data science,AI or collaboration on future opportunities! #DataScience #AI #MachineLearning #portfolio #innovation

I can finally post that I have completed this 6+ months long post-graduate program in AI and Machine Learning via UT Austin. It has been a long time since I have committed to something so intense and time consuming, but it was very rewarding and I see the knowledge I gained all around me in real life implementation and all future discussions around resources and processes (incorporating AI).

Completing these projects and finishing my post-graduation at UT Austin has not only honed my technical skills but also deepened my appreciation for the transformative potential of AI in addressing real-world challenges

I gained some knowledge on AI from MIT