AICVS hosted a session on Saturday, 7th of March, on Descending into Machine Learning. It was conducted by a very special speaker, Miss Nikita Kotak who works on technologies like Kubernetes, Docker, Google Cloud platform, Spring, Angular. She has studied Computer Engineering from P.I.C.T, Pune from the 2018 batch. She has worked on interesting projects in ML/AI domain during her academics and won few Hackathons and also published papers. Previously she has been a Google Applied CS with Android facilitator, Google Machine Learning crash course facilitator, Facebook Developer Circles Pune facilitator for Deep Learning and has also conducted a few Cloud training workshops. As of today along with her job,she likes contributing to open source projects and learning interesting new technologies. Artificial intelligence is a technology which enables a machine to simulate human behavior and machine learning is a subset of AI which allows a machine to automatically learn from past data without programming .She explained these basic concepts in an efficient way. The attendees saw the video of an AI assistant called Jarvis as well as the Amazon Go. Facebook CEO Mark Zuckerberg built an artificially intelligent, voice-controlled assistant for his home, Jarvis. Jarvis was designed by himself using Python, PHP and Objective C. He used open source artificial intelligence and machine learning projects created by Facebook and messenger platform too. Amazon Go is a chain of convenience stores in the United States operated by the online retailer Amazon. She showed the various implementations of ML and how AI and ML have largely affected the society as a whole. Christopher Olah's Blog and Andrew Ng’s Machine learning course are an excellent way to learn about these technologies as a beginner. A quiz was conducted regarding the previous concepts of models, labels and features. This quiz helped in clearing all the doubts related to Machine Learning. There was a lively discussion whether the questions in the quiz are true or false. It helped the beginners understand the reason behind answering the question and they also felt confident to discuss their views on the latest technology. Understanding the difference between a human mind and a machine was a key point in the session. The question is how much a machine can replicate a mind. Exactly simulating a human brain is simply not possible. With this given perspective, an algorithm has to be developed otherwise it will get unrealistic to train the model. Machine learning algorithms are very important for anyone who's interested in the data science field. Machine learning algorithms are quickly becoming a part of data to day business operations. Various machine learning algorithms like clustering, regression, classification and decision trees were discussed. Also, the gradient descent algorithm was talked upon. It is an optimization algorithm used in training a model. Gradient Descent finds the parameters that minimize the cost function. Minimizing errors and predicting the output closer to the actual answer are the benefits of this algorithm. Hands-on learning gives learners the opportunity to experience real world situations. There was a hands-on demo on how the gradient descent works. Active learning is a form of semi-supervised machine learning where the algorithm chooses which data to learn from and queries a teacher for guidance. Some examples of active learning were explored in the session. Pandas is an open source data analysis library for providing easy-to-use data structures and data analysis tools. Keras & TensorFlow are among the most popular frameworks when it comes to Deep Learning .The session was a hands-on workshop on Pandas and Tensorflow so basic introduction to Numpy and Panda was given in the talk. The topic of handling dataframes was explained and source codes were provided to the attendees. The session proved very beneficial to the beginners in the field of ML as it had no prerequisites.
2 Comments
8/12/2023 09:08:14 am
I really enjoyed this post. You describe this topic very well. I really enjoy reading your blog and I will definitely bookmark it! Keep up the interesting posts!
Reply
Leave a Reply. |
Archives
February 2020
Categories |