Master the Machine Learning Interview
Description
Are you preparing for a career in Machine Learning or aiming to crack job interviews in AI-related roles? This course is designed to help you master the concepts and tackle the most frequently asked interview questions in Machine Learning. With a focus on making learners job-ready, the course is structured to build a solid foundation and provide clarity on key ML topics, ensuring you walk into interviews with confidence.
Topics Covered:
Machine Learning Basics:
Introduction to supervised, unsupervised, and reinforcement learning.
Key differences between regression and classification problems.
Commonly used algorithms like Linear Regression, Decision Trees, and SVM.
Data Preprocessing and Feature Engineering:
Data cleaning, normalization, and standardization.
Feature selection techniques and dimensionality reduction (PCA, LDA).
Handling imbalanced datasets.
Model Evaluation and Optimization:
Understanding bias-variance tradeoff and overfitting.
Cross-validation techniques (k-fold, leave-one-out).
Evaluation metrics like precision, recall, F1 score, and ROC-AUC.
Ensemble Methods and Advanced Algorithms:
Bagging, boosting, and stacking techniques.
Algorithms like Random Forest, Gradient Boosting, and XGBoost.
Understanding clustering algorithms (K-Means, DBSCAN) and recommendation systems.
Neural Networks and Deep Learning Fundamentals:
Basics of artificial neural networks (ANNs).
Activation functions and optimization algorithms (SGD, Adam).
Introduction to CNNs, RNNs, and transfer learning.
Real-World Machine Learning Scenarios:
Case-based questions on handling large datasets and model deployment.
Discussing practical challenges like missing data and feature importance.
Behavioral and Situational Interview Preparation:
Insights into how to answer "real-world problem" questions.
Tips on explaining projects and demonstrating problem-solving skills.
Who this course is for:
- Job seekers preparing for interviews in machine learning, data science, or AI roles.
- Students and graduates aiming to break into the AI and machine learning industry
Instructor
- 4.4 Instructor Rating
- 237 Reviews
- 896 Students
- 10 Courses
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But here's something which is equally exciting..
Rabbitt Learning: Giving you the access to learn AI and top skills from the creators, inventors and practitioners of AI Applications in the real world.
This is an initiative led by the Lion Founder, Mr. Harneet Singh, who is chosen as World's Top 100 AI Leaders in Europe among the likes of Google DeepMind CEO, Groq CTO and HuggingFace Cofounder etc., to educate and upskill people in AI with real world case studies.
The courses will be taught by the AI Man himself, Mr. Harneet Singh, a serial entrepreneur and IIT Delhi alumnus, who has an experience of building 5 companies from scratch and managing P&L of 1 Billion+, is also a member of Forbes Business Council, CII, and served as an AI consultant with South Korean Navy
Rabbitt Learning is the education arm of Rabbitt AI, a London based revolutionary Generative AI company backed by TC Group, and industry leaders like NVIDIA, Meta and Microsoft etc.
More about Rabbitt AI
We are the inventors of ChanceRAG (a no-code enterprise grade advanced RAG solution live on HuggingFace), NAVICA and Curators AI.
At Rabbitt, we are helping organisations "Own their Data and Own their AI". In the new world, we are helping companies become the Landlords of AI world rather than just the Tenants like the past Internet world.
Our philosophy is that "in the Gen AI world, Big is no longer Beautiful, rather Small is Soothing". Smaller, custom and industry specific fine tuned models are making more moves than one big model. At Rabbitt AI, we are the advocates of these and helping companies adopt Open Source AI models like LLama, Mistral, Falcon, BLOOM, Gemma etc.