classification
Amazon SageMaker is a fully managed machine learning service. It enables developers to quickly build, train and deploy machine learning models in the cloud. It provides a built-in Jupyter authoring notebook session for easy access to the data sources for exploration and analysis so one doesn’t have to manage the servers. It also provides common […]
LDA/ Linear Discriminant Analysis is a very common technique used in supervised learning’s classification problems similar to PCA/ Principal Component Analysis which is used in Unsupervised Learning problems. LDA similar to PCA is a dimensionality reduction technique used as a pre-processing step in machine learning and pattern classification applications. Dimensionality reduction techniques can be used […]
Transfer Learning is a good and popular approach in deep learning in which pre-trained models are used as starting point on computer vision (CNN) and natural language processing (NLP) tasks. It is popular in deep learning given the enormous resources required to train deep learning models or the large and challenging datasets on which deep […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Last Saturday 23rd Nov 2019, we had a fabulous AI Industry Showcase on Automotive and Manufacturing Industry in Bengaluru. First there was a panel discussion with Industry Experts in Automotive sector. These experts included Nataraju Vusirikala (Head of AI Services and Engineering Group, Bosch), Sharad Bairathi (CEO, Embitel Technologies) and Anand Das […]
CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat AI Lab conducted its first hackathon successfully last Saturday in Bengaluru, India. The Hackathon was on Object Detection in Images with intricate data set nuances. The hackathon was ably led by Anshumaan Dash – the Vision Team Lead for CellStrat AI Lab. The hackathon problem statement consisted of an end to […]
The intense AI and ML projects and discussions continue week after week. We had almost 25+ folks attend the lab in Bangalore and 10+ in Gurgaon including two visitors from New York and Melbourne with many more on the hangout. Bangalore: Vivek started with a discussion of Principal Component Analysis. PCA is a dimensionality reduction […]