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2022-05-01T09:33:19Z

DevelopmentData ScienceMachine Learning

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

Master the 3 M's of ML: Maths, Methods and Machine
Rating: 3.8 out of 53.8 (35 ratings)
6,904 students
Created by Samuel Reischl
Last updated 9/2019
English
English [Auto]

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

Requirements

  • No prerequisites

Description

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

ML is 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!

Who this course is for:

  • Everyone who is interested in machine learning and artificial intelligence.
  • Pupils, students, employees in all kind of roles, self-employed workers
  • You!

Instructor

Samuel Reischl
Diplom Mathematiker
Samuel Reischl
  • 4.0 Instructor Rating
  • 528 Reviews
  • 9,961 Students
  • 7 Courses

Nach dem Studium der Mathematik in Mainz, Hamburg und Dijon (Frankreich) habe ich mehrere Jahre bei einer internationalen Unternehmensberatung als Prozessberater gearbeitet. Danach habe ich in unterschiedlichen Industrien im Finanzbereich gearbeitet (Telekommunikation, Logistik, Pharma), Teams und Projekte geführt und Erfahrung in Controlling, Treasury, Buchhaltung und Projekt Management gesammelt. Bin zudem zertifizierter Machine Learning Engineer.

Meine Schwerpunkte sind Finanzen, Projekt Management, Machine Learning und Mathematik. 

Mit Leidenschaft möchte ich Dir helfen, Wissen auf- und auszubauen. In der digitalen Welt von heute ist der Rohstoff Bildung das Fundament.

Let's shape the future!

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