Machine Learning
Machine Learning
What is Machine Learning?
Tensor Flow
Google Crash Course
Git, github / gitlab
Previous Knowledges Mathematics
Basic Programming concepts
How to work with data
How to get data set
Where can ML be applied?
Comet software
Keras \ Pytorch \ Jupyter Notebook
Smitha Kolan You tube
Kaggle website
Components
MATHEMATHICS
Engaged in
CODING ALGORITHMS
Advanced
DATA ANALYSIS
Advanced
DATA PREPARATION
Higher
IMPLEMENTING ALGORITHMS
Upper
MACHINE LEARNING Road Map 2023
STAGE 1: MATH
96%
- INTRO TO STATISTICS
- Visualizing relationships in data
- Seeing relationships in data
- Making predictions based on data
- Simpson's paradox
- Probability
- Introduction to Probability
- Bayes Rule
- Correlation vs. Causation
- Estimation
- Maximum Likehood Estimation
- Mean, Median, Mode
- Standard Deviation and Variance
- Outliers and Normal Distribution
- Outliers, Quartiles
- Binomial Distribution
- Manipulating Normal Distribution
- Inference
- Confidence Intervals
- Hypothesis Testing
- Regression
- Linear Regression
- Correlation
- The elements of statistical learning [Book]
- Introduction
- Overview of Supervised Learning
- Linear Methods for Regression
- Linear Methods for Classification
- Basis Expansions and Regularization
- Kernel Smoothing Methods
- Model Assesment and Selection
- Model Inference and Averaging
- Additive Models, Trees, and Related Methods
- Boosting and Additive Trees
- Neural Networks
- Support Vector Machines and Flexible Discriminants
- Prototype Methods and Nearest-Neighbors
- Unsupervised Learning
- Random Forest
- Ensemble Learning
- Undirected Graphical Models
- High-Dimensional Problems
- Math for Machine Learning
- Implementing Mathematical concepts using real-world data
- Derive PCA from a projections perspective
- Understand how orthgonal projections work
- Master PCA
STAGE 2: PYTHON
50%
- Python fundamentals
- Course of python
- Numpy
- Pandas
import Numpy an np
print("Hello world")
list = [32, 15, 64, 31, 22]
STAGE 3: BASIC MACHINE LEARNING
95%
- Intro duction to Machine Learning
- Google Machine Learning Crash Course
- Machine Learning Free Code Camp
STAGE 4: ADVANCED MACHINE LEARNING
95%
- HSE: Advanced Machine Learning
- Interpreable Machine Learning
- --
STAGE 5: DEEP LEARNING
95%
- Deep Learning with Python
- Dive into deep Learning
STAGE 6: MACHINE LEARNING PROJECTS
95%
- Project 1
- Project 2
- Project 3
- Project 4
- Project 5
7+
Science
Science
11+
Machine Learning
Machine Learning
5+
Frontend Developer
Frontend Developer
7+
Soft Skills
Soft Skills