Hey Guys Welcome to CSE Study247, Today I am providing information about the Complete Machine Learning Roadmap with Resources
Today AI And ML trending subjects that are used everywhere.
So Let’s Start
First, watch this video, which helps to understand how to change the world through AI.”
This Video released by the Tesla Company
| Company | Tesla |
| Founder | Elon Mask – 2003 |
| Headquarters | Austin, Texas, U.S. |
| Website | tesla.com |
| Company Type | Public |
Table of Contents
Machine Learning Roadmap
Machine Learning is a subset of artificial intelligence (AI) that enables systems to learn and improve from experience without being explicitly programmed.
ML focuses on the development of algorithms that can analyze data, identify patterns and make decisions with minimal human intervention
- Introduction to Machine Learning
– Definition
– Purpose
– Types of Machine Learning (Supervised, Unsupervised, Reinforcement)- Mathematics for Machine Learning
– Linear Algebra
– Calculus
– Statistics and Probability- Programming Languages for ML
– Python and Libraries (NumPy, Pandas, Matplotlib)
– R- Data Preprocessing
– Handling Missing Data
– Feature Scaling
– Data Transformation- Exploratory Data Analysis (EDA)
– Data Visualization
– Descriptive Statistics- Supervised Learning
– Regression
– Classification
– Model Evaluation- Unsupervised Learning
– Clustering (K-Means, Hierarchical)
– Dimensionality Reduction (PCA)- Model Selection and Evaluation
– Cross-Validation
– Hyperparameter Tuning
– Evaluation Metrics (Precision, Recall, F1 Score)- Ensemble Learning
– Random Forest
– Gradient Boosting- Neural Networks and Deep Learning
– Introduction to Neural Networks
– Building and Training Neural Networks
– Convolutional Neural Networks (CNN)
– Recurrent Neural Networks (RNN)- Natural Language Processing (NLP)
– Text Preprocessing
– Sentiment Analysis
– Named Entity Recognition (NER)- Reinforcement Learning
– Basics
– Markov Decision Processes
– Q-Learning- Machine Learning Frameworks
– TensorFlow
– PyTorch
– Scikit-Learn- Deployment of ML Models
– Flask for Web Deployment
– Docker and Kubernetes- Ethical and Responsible AI
– Bias and Fairness
– Ethical Considerations- Machine Learning in Production
– Model Monitoring
– Continuous Integration/Continuous Deployment (CI/CD)- Real-world Projects and Case Studies
- Machine Learning Resources
– Online Courses
– Books
– Blogs and Journals
Trending Jobs in 2024
- Data Scientist
- ML Engineer
- Software Engineer
- Cloud Engineer
- Graphic Designer
- Blockchain Specialist
- Data Analyst
- Fullstack Developer
- Mobile Developer
- Data Engineer
Machine Learning Resources Link
- http://www.maths.qmul.ac.uk/~pjc/notes/linalg.pdf (Maths)
- https://www.mathsbox.org.uk/twi/astats.pdf (Maths)
- https://www.youtube.com/playlist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE (Maths)
- https://developers.google.com/machine-learning/crash-course (ML by Google)
- https://www.datacamp.com/courses/intro-to-python-for-data-science (Python Basics)
- https://www.coursera.org/learn/machine-learning (Stanford Course by Andrew ng)
- https://madewithml.com/
- https://www.javatpoint.com/data-preprocessing-machine-learning (Data Preprocessing)
- https://scikit-learn.org/stable/ (Scikit Learn)
- https://www.tensorflow.org/ (Tensorflow)
- https://www.kaggle.com/ (Kaggle)
Try these Free courses from Microsoft in 2024 to level up your Skills
𝟭. 𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
𝟮. 𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
𝟯. 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/
𝟰. 𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
𝟱. 𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
𝟲. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
https://learn.microsoft.com/en-us/training/modules/introduction-to-machine-learning/
𝟳. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝗔𝗜 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
𝟴. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/fundamentals-generative-ai/
𝟵. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻
https://learn.microsoft.com/en-us/training/modules/analyze-images-computer-vision/
𝟭𝟬. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/responsible-generative-ai/
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