Overview: foundations, scope, problems, and approaches of AI.
Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and learning agents.
Problem-solving through Search: forward and backward, state-space, blind, heuristic, A, A*, stochastic, and evolutionary search algorithms, sample applications.
Knowledge Representation and Reasoning: ontologies, foundations of knowledge representation and reasoning, representing and reasoning about objects, relations, events, actions, time, and space; situation calculus, description logics, reasoning with defaults, reasoning about knowledge, sample applications. (including all knowlegde representation techniques).
Planning: Planning as search, partial order planning, Goal Stack Planning, existing expert systems like MYCIN, Expert system shells.
Representing and Reasoning with Uncertain Knowledge: probability, connection to logic, independence, Bayes rule, Bayesian networks, probabilistic inference, sample applications. Decision-Making: basics of utility theory, decision theory, sequential decision problems, sample applications
Machine Learning and Knowledge Acquisition: Learning nearest neighbor, naive Bayes,Model Evaluation, Introduction to Machine Learning.
Languages for AI problem solving: Introduction to PROLOG syntax and data structures, representing objects and relationships, built-in predicates. Introduction to LISP- Basic and intermediate LISP programming.
Expert Systems: Architecture of an expert system, existing expert systems like MYCIN, Expert system shells.
Hi! I'm 5 years experienced Data Scientist with theoretical and practical experience in Data Science, Machine Learning & Deep Learning ready to do your work in an efficient way with strong analytical and logical reasoning skills.
My Core Skills are:
Data analysis - Data Mining - Forecasting using Python, R, SPSS, Excel, KNIME, and SAS Enterprise Miner.
Machine learning - Classification, Regression, Association Rule Mining, Clustering & Dimensionality Reduction.
Deep Learning - Fully Connected Networks, CNNs, RNNs, LSTM, GANs & Reinforcement Learning.
Databases: Teradata-SQL, MySQL, Mongo DB
Enterprise Data Visualization: PowerBI & Tableau
Hi,
Greetings for the day!
We are a team of passionate Machine Learning Engineers based in Mumbai, India, who have developed and deployed complex AI solutions using Machine Learning and Computer Vision.
We have a good experience of building training and deploying State Of The Art Machine Learning/Deep Learning models. We have built and deployed several Object Detection and Classification models in the past. We have also worked with Object Tracking, Edge and Cloud Deployment, Image Processing and Data Analytics.
We strongly believe that our experience and relevant skills make us the perfect candidate for your requirements. We would love to know more about your requirements: data needed for training the model, preferred ML and DL algorithms (if any), model architectures, etc.
Some of our projects include Face Mask Detection, Social Distancing Monitoring, Industrial Machinery Defect Detection, Industrial Safety Kit Detection, Root Cause Analysis and more.
Please checkout our AI/ML portfolio - freelancer.in/u/iPingDataLabsLLP
Our AI/ML tech-stack includes Python, Tensorflow, PyTorch, Keras, OpenCV, GCP, AWS, FastAPI, Flask, Django and more. We have relevant and significant experience in Keras, TensorFlow, and OpenCV.
We approach every client with the intent of a long term relationship!
Can we connect over chat and discuss the plan of action?
Regards,
iPing Data Labs