Samridhi Garg
Understanding algorithms, models, and tools used to enable machines to learn and make predictions from data.
Mastery of neural networks and frameworks like TensorFlow and PyTorch for processing complex data and creating sophisticated AI models.
Skills in NLP allow you to develop applications that can understand, interpret, and generate human language.
Ability to analyze large datasets and present insights through visualization tools like Tableau, Power BI, or Matplotlib.
Proficiency in programming languages such as Python, R, and Java, which are essential for implementing AI solutions.
Expertise in image processing and recognition to build applications that can interpret visual data from the world.
Understanding ethical implications and methods to ensure fairness and mitigate biases in AI models and applications.