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Item number: 105753732

Exploring Machine Learning Training

Item number: 105753732

Exploring Machine Learning Training

159,00 192,39 Incl. tax

Order the E-Learning training online Exploring Machine Learning. Incl. Exam quizzes, and Tips tricks.

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Exploring Machine Learning E-Learning

Order this unique E-Learning course Exploring Machine Learning online!
✔️ 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to immediately test your knowledge.
✔️ After the course you will receive a certificate of participation.

Why choose this course?

Machine learning (ML) is one of the most exciting and impactful fields in technology today. Thanks to recent advances in computing power and algorithm efficiency, ML is now more accessible than ever. This course provides an in-depth exploration of machine learning, teaching you the fundamental techniques needed to build and deploy ML solutions.

During the course, you will not only learn the basics of ML, but also gain the tools and knowledge to solve different types of problems using ML. You will discover techniques such as supervised and unsupervised learning, regression analysis, classification, clustering, and much more.

What you will learn:

  • Fundamentals of Machine Learning: Understand the basics of machine learning, from data collection and preparation to training models.
  • Supervised Learning: Learn how to build models that are trained on labeled data to make predictions.
  • Unsupervised Learning: Discover techniques such as clustering and dimensional reduction that you can use to find patterns in unclassified data.
  • Model Evaluation and Optimization: Learn how to test and optimize the performance of machine learning models.
  • Applications of Machine Learning: Gain insight into how ML is being applied across industries, from healthcare to finance and marketing.

Who should participate?

This training is ideal for:

  • Software developers looking to expand their skills with machine learning.
  • Data scientists who want to understand and apply the fundamental techniques of ML.
  • IT professionals who want to integrate machine learning into their applications and systems.
  • Analysts and researchers who work with data and want to use machine learning to generate insights.
  • Anyone interested in understanding machine learning and its impact on different industries and technologies.

Course content

Introduction to Machine Learning and Supervised Learning

Course: 55 Minutes

  • Course Introduction
  • What is Machine Learning?
  • Supervised Learning
  • How to Build Models
  • Overfitting
  • Precision and Recall

Supervised Learning Models

Course: 41 Minutes

  • Course Introduction
  • Classification vs. Regression
  • Regression Trees
  • CART Decision Tree Learning
  • Random Forests
  • Random Forests with Python
  • Logistic Regression Model
  • Logistic Regression in Python
  • Support Vector Machines (SVM)
  • Kernel Methods for SVMs
  • Support Vector Machines in Python
  • Naïve Bayes Classifiers
  • Naïve Bayes Classifiers in Python

Unsupervised Learning

Course: 33 Minutes

  • Course Introduction
  • What is Unsupervised Learning?

Neural Networks

Course: 40 Minutes

  • Course Introduction
  • Defining Neural Networks
  • Neural Network Structures
  • Cost Functions for Neural Networks
  • Activation Functions
  • Training Neural Networks
  • Training Neural Networks With Backpropagation
  • Batch Learning

Convolutional and Recurrent Neural Networks

Course: 41 Minutes

  • Course Introduction
  • Introducing Convolutional Neural Networks (CNNs)
  • CNN Architecture
  • Convolution Layers
  • Pooling Layer
  • CNN Training Considerations
  • Regularization
  • Convolutional Neural Network Implementation
  • Regularization Methods for CNNs

Applying Machine Learning

Course: 39 Minutes

  • Course Introduction
  • Bias and Variance
  • Cross-validation
  • Cross-validation in Python
  • Metrics for Binary Classification Models
  • Metrics for Non-binary Classification Models
  • Classification Metrics in Python
  • Metrics for Regression Models
  • Regression Metrics in Python

Get started with Exploring Machine Learning!

✔️ Learn at your own pace with rich interactive videos and speech.
✔️ Test your knowledge per chapter with targeted tests and progress monitoring.
✔️ Develop practical skills in machine learning and apply them to real-world problems.
✔️ Receive a certificate of participation upon successful completion of the course.

Order your course now and start discovering the world of machine learning!

Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 4:09 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
Total
10/10 (2 Reviews)

    "Uitstekende cursus. Ik had deze machine learning-cursus gevolgd omdat ik heel weinig wist over dat vakgebied en er meer over wilde leren. Tijdens deze cursus kwamen de meest gebruikte technieken in machine learning aan bod, nu heb ik een volledig begrip van het concept en kan het leren op kleine schaal automatisch toepassen."

    Roy Janssen on 02 Feb 2021

    ""Supercursus! Na het volgen van deze cursus begrijp ik niet alleen de concepten, maar kan ik ze ook zelf toepassen. De concepten worden duidelijk uitgelegd. Het is een toegankelijke en praktische cursus. Leren in mijn eigen tempo en tijd. Absoluut een aanrader. Ja je wilt meer Python-opties ontdekken."

    Jose on 02 Feb 2021

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OEM Office Elearning Menu Genomineerd voor 'Beste Opleider van Nederland'

OEM Office Elearning Menu is trots genomineerd te zijn voor de titel 'Beste Opleider van Nederland' door Springest, een onderdeel van Archipel. Deze erkenning bevestigt onze kwaliteit en toewijding. Hartelijk dank aan al onze cursisten.

Reviews

Total
10/10 (2 Reviews)

    "Uitstekende cursus. Ik had deze machine learning-cursus gevolgd omdat ik heel weinig wist over dat vakgebied en er meer over wilde leren. Tijdens deze cursus kwamen de meest gebruikte technieken in machine learning aan bod, nu heb ik een volledig begrip van het concept en kan het leren op kleine schaal automatisch toepassen."

    Roy Janssen on 02 Feb 2021

    ""Supercursus! Na het volgen van deze cursus begrijp ik niet alleen de concepten, maar kan ik ze ook zelf toepassen. De concepten worden duidelijk uitgelegd. Het is een toegankelijke en praktische cursus. Leren in mijn eigen tempo en tijd. Absoluut een aanrader. Ja je wilt meer Python-opties ontdekken."

    Jose on 02 Feb 2021

Combideals

25.000+

Springest: 9.1 - Edubookers 9.0

3500+

20+