R77 AI

AI DEVELOPMENT FOR ENTERPRISE FROM MFTIANALYSIS OF DATA ON PYTHONusing the Pandas, NumPy, and SciPy libraries to process and analyze data01DATA VISUALIZATIONCreating graphs and interactive dashboards using Matplotlib, Seaborn, Plotly, and Tableau02Machine learningDeveloping and validating predictive models using libraries such as scikit-learn and PyTorch03BIG DATA PROCESSINGExperience with Hadoop, Spark and other big data platforms04STATISTICAL ANALYSIS AND HYPOTHESIS VERIFICATION Applying statistical methods to interpret data and validate scientific conclusions05TIME-VARIETY DESIGN AND ANALYSIS Using special methods and models to analyze time-varying data, The creation of algorithms that suggest products or services to users based on their preferences and behavior07Natural Language Processing (NLP)The creation of systems that can understand and generate natural language processing (NLP), capable of understanding and generating natural language using technologies such as RNN, BERT and GPT08Deep LearningDeveloping neural network-based models for image processing tasks, speech recognition and natural language processing09COMPUTER SIGHTDesign and implementation of algorithms for image and video analysis and processing10OPTIMIZATION AND AUTOMATIZATION OF PROCESSESUse algorithms to improve and automate operational processes11WORKING WITH UNLOCATED DATAApply machine learning techniques to extract structure from raw data, clustering12GENERATIVE AIdeveloping systems that can generate new content such as text, images, and music using deep learning algorithms such as LLM, Stable Diffusion, and others.