Machine Learning for Interviews & Research and DL basics

Machine Learning, Linear Regression, PCA, Neural Networks, Hyperparameters, Deep Learning, Keras, Clustering, Case Study
4.37 (113 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning for Interviews & Research and DL basics
1โ€ฏ074
students
4.5 hours
content
Dec 2023
last update
$19.99
regular price

Why take this course?

๐Ÿš€ Master Machine Learning & Deep Learning for Interviews & Research ๐ŸŽ“

Are you gearing up for a job interview in the realm of data science or research, and want to solidify your understanding of machine learning and deep learning? Or perhaps you're a student eager to expand your data science toolkit? Whatever your goal, this comprehensive online course is designed to help you master the essentials of machine learning and deep learning, making you well-prepared for your next interview or research project. ๐ŸŒŸ

Course Overview ๐Ÿ“š

What You'll Learn:

  • Fundamentals of Machine Learning & Deep Learning: We'll kick off with the basics to ensure everyone is on the same page, regardless of your current level of expertise.

  • Advanced Statistics and Machine Learning:

    • Covariance ๐Ÿ“Š
    • Eigen Value Decomposition ๐Ÿ”ข
    • Principal Component Analysis (PCA) โœจ
    • Central Limit Theorem ๐Ÿ—๏ธ
    • Gaussian Distribution ๐ŸŒฑ
    • Types of Machine Learning ๐Ÿ”ฌ
    • Parametric vs Non-parametric Models โš–๏ธ
  • Training Machine Learning Models:

    • Supervised Machine Learning ๐Ÿ“ˆ
    • Regression & Classification ๐Ÿค
    • Linear Regression & Gradient Descent ๐Ÿงฎ
    • Regularization Techniques ๐Ÿ–Œ๏ธ
    • Logistic Regression, Decision Trees & More! ๐Ÿ
    • Overfitting and How to Counter It ๐Ÿ› ๏ธ
    • Support Vector Machines (SVM) โš”๏ธ
  • Artificial Neural Networks:

    • Forward & Backward Propagation ๐Ÿ—๏ธ
    • Activation Functions ๐ŸŽญ
    • Hyperparameters Tuning ๐Ÿ”จ
    • Dropout for Overfitting Prevention ๐Ÿšซ
  • Training Deep Neural Networks:

    • Deep Neural Networks (DNN) ๐Ÿง 
    • Convolutional Neural Networks (CNN) ๐Ÿ“ธ
    • Recurrent Neural Networks (RNN) - GRU & LSTM โฐ
  • Unsupervised Learning:

    • Clustering, Especially k-Means ๐Ÿ“Œ
  • Implementation & Case Studies:

    • Getting started with Python and Machine Learning ๐Ÿ
    • Real-World Case Studies: Keras Digit Classifier & Load Forecasting ๐ŸŒ

Why Take This Course? ๐Ÿค”

  • Interactive & Practical: Engage with interactive content that you can apply in real-world scenarios.
  • Case Studies Included: Learn through practical examples using Keras and scikit-learn to solidify your understanding.
  • Career Advancement: Equip yourself with the skills demanded by top tech companies and research organizations.
  • Expert Guidance: Learn from an experienced instructor who has navigated the field and wants to help you succeed.

Course Features ๐ŸŽฏ

  • Step-by-step guidance on machine learning algorithms.
  • Practical examples to apply what you've learned.
  • A focus on both theoretical understanding and practical application.
  • Real-world case studies for a deeper grasp of the concepts.
  • Preparation for technical interviews with a strong foundation in machine learning and deep learning.

Ready to Embark on Your Learning Journey? ๐Ÿš€

Whether you're aiming to ace your next interview, contribute meaningful insights in your research, or simply enhance your understanding of machine learning and deep learning, this course is the perfect stepping stone. Join us now and let's embark on this exciting learning adventure together!

Don't wait any longerโ€”unlock your potential with Machine Learning for Interviews & Research and DL basics today! ๐Ÿ’ซ

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4536082
udemy ID
06/02/2022
course created date
22/04/2022
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