Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab,..

Go to class
Write Review

Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab,.. provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab,.. is taught by Samuel Reischl. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • Master the 3 M's of ML: Maths, Methods and Machine

    What you'll learn:

    • The three building blocks of Machine Learning: Maths, Methods and Machine.
    • Maths: Calculus, Linear Algebra, Statistics, Naive Bayes
    • Methods: Neural Networks, Deep Learning, PCA, Scikit-learn, Tensorflow, Keras
    • Machine: Python, Cloud Computing, Colab
    • Insights into real life projects and how to apply the concepts

    Do you want to master Machine Learning (ML) - the key field of the future?

    MLis the core of artificial intelligence and will transform all industries and all areas of life.

    This comprehensive course covers the three M's Maths, Methods and Machine, and is easy to understand.

    Maths

    • Calculus

    • Linear Algebra

    • Probability theory

    • Statistics

    Methods

    • Machine learning libraries

      • Scikit-learn

      • Tensorflow

      • Keras

    • Estimators & Predictors

      • Neural Network (Deep Learning)

      • Support Vector Machine

      • K-Nearest Neighbor

      • Decision Tree

      • and many more

    • Concepts & techniques

      • Principal Component Analysis (PCA)

      • Neural Machine Translation (NMT)

      • Long Short-Term Memory (LSTM)

      • Monte-Carlo Tree Search (MCTS)

      • Deep Convolutional Generative Adversarial Network (DCGAN)

      • and many more

    Machine

    • Python

    • Cloud Computing

    • Colab Cloud Notebook

    These three building blocks will give you the deep understanding of the subject.

    Machine Learning

    • Supervised learning

      • Regression

      • Classification

    • Unsupervised learning

    • Reinforcement learning

    Furthermore projects will provide insights into real life solutions.

    Projects

    1. Titanic dataset (binary classification)

    2. Boston Housing dataset (regression)

    3. Student performance (binary classification)

    4. Hand-written digits (image recognition & generation)

    5. Stock market predictions

    6. Text recognition and language translation

    7. Autonomous driving (reinforcement learning)

    8. Mastering the game of GO (deep reinforcement learning)

    9. Segmentation of customer data (PCA)

    10. Spam detection (Bayes)

    Do not hesitate and join the course. ML will transform your life!

    This course is extraordinary, as it is easy to understand, and combines education with entertainment.

    Learning should be exciting!

    Enjoy the course and all the best for your future!

    Machine Learning is the key component of artificial intelligence and will transform our lives and all industries.

    Stay ahead of the game!