Acclaim Technical Services的动态

: ?? Recent Intern at completed [Regex Software] ?? Proud to have completed an enriching internship focused on [Machine learning and deep machine learning]. ?? Gained hands-on experience i ?? Excited to apply these skills and continue learning in the Machine learning skills

Explore the Ultimate Comparison between Scaler School of Technology and Traditional College Computer Science Curriculum! In this insightful presentation, I've broken down the comparison into an easy-to-understand bar graph, demonstrating step-by-step how you can conduct a similar analysis on any data using AI. Whether you're a student, educator, or industry professional, this analysis offers valuable insights into modern educational pathways and data analysis techniques. Check out the full presentation for a detailed breakdown! #DataAnalysis #EducationComparison #AIInsights #scalerschooloftechnology #computerscience – by Smruti, guided by Young Innovator internship, SST

"I'm thrilled to share that I've completed the AWS Academy AIML Virtual Internship program! ?? Over the past [X] weeks, I had the opportunity to work on real-world projects and gain hands-on experience in Artificial Intelligence and Machine Learning using AWS technologies. Key skills I developed during this internship include: - Machine Learning model development and deployment - Deep Learning techniques for computer vision and natural language processing - Cloud computing and infrastructure management on AWS - Collaboration and communication with cross-functional teams I'm grateful for the mentorship and guid I'm excited to apply my new skills and knowledge to drive innovation and growth in my future endeavors! #AWSAcademy #AIML #VirtualInternship #CloudComputing #MachineLearning #ArtificialIntelligence"

Colby Keskinyan, a sophomore studying at Half Hollow Hills High School East has chosen our AI/ML Internship-Bootcamp Program. His interest lies in Computer Science. He is keen to learn cutting-edge technologies and is targeting admission to IVY leagues. Our team is committed to helping him in various aspects of his journey. We wish him a bright future ahead. If you wish to learn more about the program drop your "Email" in the comments

Successfully completed a comprehensive internship in Machine Learning Foundation Course. Developed practical skills in key ML concepts and applications. Excited to apply this knowledge to real-world challenges. #MachineLearning #InternshipCompletion"

?? Excited to announce that I have successfully completed a 10-week AI-ML Virtual Internship supported by AWS Academy! ?? From January to March 2024, I had the incredible opportunity to delve into Artificial Intelligence and Machine Learning, and this journey has been nothing short of transformative. Gained in-depth understanding of core Artificial Intelligence and Machine Learning concepts Deepened my understanding of AI-ML concepts, including data preprocessing, model building, and deployment.

[Georgia Tech and More - 2023&2022 review] December 2023 marked my graduation from Georgia Tech's Master's program in Computational Data Science. Here are a few big things that I'm glad I have experienced: 1. Left my job and went to the US for grad school. In retrospect, it was the right choice: my years of experience in DS/ML served well as a foundation for applying advanced methods that I learned at Gatech. 2. Explored and deepened my knowledge on various topics: Graph Mining, Information Retrieval, Parallel Computing, Deep Learning, Foundation Models, Optimization, etc. 3. Got into ML research, learned a bunch of new skills, and built cool prototypes to solve problems where no one has. 4. Interned at Zillow Group as an applied scientist: The 3-month summer internship was incredibly rewarding, packed with amazing people and awesome projects. 5. Explored the US: Atlanta (GA), New York City (NY), Bay Area (CA), Seattle (WA), Boston (MA), planning to travel more in 2024. 6. Prepared for a life-long learning journey by kickstarting and practicing various learning methods: Discussion with Georgia Tech's world-class educators and researchers; Reading and recreating the most cutting-edge research papers; Doing classes, homework, and projects. Looking forward to 2024: be curious, be brave, work hard, and make friends along the way.

Ever wondered if standard image augmentations work in the feature space? ?? During my internship at Google DeepMind last summer, we explored this question alongside Mostafa Dehghani, Neil Houlsby, and Manoj Kumar. Focusing on data-constrained, few-shot settings, we introduce frozen feature augmentation (FroFA). This method applies augmentations directly on cached features from a pretrained vision transformer, unveiling intriguing results across various architectures, pretraining setups, and few-shot datasets ??. I am excited to present our findings at #CVPR2024, one of the top 4 most-cited conferences/journals according to Google Scholar metrics: https://lnkd.in/e-EFf8X6. Thanks to travel fundings from Google, I will attend in-person and hope to see you there! For those eager to dive in sooner, check out our paper on arXiv: https://lnkd.in/ewk9W6Vk. #VisionTransformer #ImageClassification #FewShotLearning

August 20, 2024 marked exactly one year since I arrived in the United States! It’s been an amazing experience so far, despite the challenges I faced before the summer. I applied to over 260 internships, received only two interviews from Meta and Kite Pharma, and ended up with no offers. This made me worry that my summer might be ruined. However, I didn’t let that get the best of me. I engaged in many learning and growth activities over the summer : 1. I wrote a manuscript for publication on using Convolutional Neural Networks to predict Fractional Partial Differential Equations. 2. I won the Best Performance-Advanced Category Award at the inaugural ACCESS Support - SCIPE/CIP AI Mini-Hackathon held during the PEARC Conference Series PEARC24. This involved conducting sentiment analysis on movie data, which allowed me to learn more about Multilayer Perceptrons and how to make them more efficient. The award included a $3,000 travel grant to attend any conference or workshop of my choice. I would like to thank Alana Romanella and the organizers for this opportunity. 3. I finally published my undergraduate thesis titled “Classification and Prediction of Heart Disease Using Machine Learning “. Here is the link: https://lnkd.in/g-Tmni3h 4. I am currently serving as the Senator for the Graduate College in the Student Government Association at UTRGV. 5. I was appointed as the Alternate The The University of Texas System Student Advisory Council Representative for UTRGV. 6. I won a one-year free LinkedIn subscription from Rewriting the Code. Thank you, Rewriting the Code! 7. I have been selected to join Code2040 as a 2025 Fellow. 8. I have also been selected to participate in Canada’s biggest hackathon, Hack the North, at the University of Waterloo. I’m really excited to brainstorm and come up with new ideas with my teammates and mentors. We’re set on winning, and I’m looking forward to an exciting weekend! All this would not have happened if I had let the feeling of internship rejection get to me. My advise based on this is to always stay motivated, seek out new opportunities, and keep pushing forward, even when things seem tough.

Hello, YoungDev Intern i've finished expert level task 2 of machine learning internship, where i utilized mnist dataset, on which i applied DCGAN(Deep convolutional generative adversial networks) to create zeros by learning from mnist dataset.