Welcome! I'm Ikram Ali, specializing in establishing and leading machine learning engineering and data science teams. My current passions lie in Natural Language Processing (NLP) and MLOps, where I strive to push the boundaries of these technologies.
sphinx-autobuild docs docs/_build/htmlMy career is dedicated to mastering the diverse skills necessary to spearhead data science projects. This includes expertise in Research, Data Engineering, Machine Learning Engineering, and comprehensive Project Management methodologies like Agile and Product Management. This multifaceted skill set enables me to lead cross-functional teams effectively and navigate the journey of a model from initial concept to full-scale production deployment.
- What is Probability
- Bayes Theorem
- Random Variables
- Discrete Distributions
- Continuous Distributions
- Joint Distributions
- Covariance and Correlation
- Estimators and Sampling Distributions
- Moment Generating Functions
- Maximum Likelihood Estimation
- Confidence Interval
- Hypothesis Testing
- Introduction
- Derivatives and Partial Derivatives
- Algebra Introduction
- What is Machine Learning?
- Logistic Regression
- Non-Parametric Models
- Decision Trees
- Principal Component Analysis (PCA)
- Clustering
- Matrix Factorization
- What is Deep Learning
- Vectors, Matrices, and Tensors
- Loss Functions
- Evaluation Metrics
- Linear Algebra
- Statistics
- Sorting Algorithms
- Graph Data Structures
- Tree Data Structures
- Shortest Path Algorithms
- Greedy Algorithms
- What is Graph Theory
- Graph Neural Networks
- Graph Equations
- PyTorch Fundamentals
- PyTorch Workflow
- PyTorch Neural Network Classification
- Basic Neural Network
- Recommendation Systems
- Matrix Factorization
- Probability Solutions
- R Solutions