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Machine Learning Course Online

Machine Learning Training will assist you in mastering the skills necessary to become an expert in this domain. Through theoretical and practical classes, we offer a unique deep learning vs machine learning certification blend. We also teach Python, AWS, Azure Machine Language, R, and Natural Language Processing (NLP). Machine Learning is a subset of AI. The main goal of AI is to create intelligent computer systems that can solve human-complex problems.

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Machine Learning Certification Training

Machine Learning Online Training

Machine Learning Course Online is well-suited for consultants who are at the intermediate level. This course mainly requires an understanding of basic Statistics and Mathematics. In each session, every module is delivered based on real-time experiences. We ensure to enable the consultants to get well-equipped with all the possible solutions.

Machine Learning  is based on AI (Artificial Intelligence) and you understand Business Analytics and R. You will also learn Data Information, Business Analytics and Business Intelligence. In the end, you will get the Machine Learning Certification with Tutorials and sufficient materials along with Interview questions.

Machine Learning Certification Key Features

  • Learn about machine language algorithm
  • Learn ai vs machine language 
  • Flexible Schedule you can optimize training sessions according to your convenience
  • 24/7 support will be given if you have any queries regarding the training
  • Get Real-time Machine Learning Projects
  • Get Machine Learning Interview Questions
  • You Can Learn  From Leading Experts
  • You should follow deep learning with python
  • After Completion Course Get Machine Learning Tutorial And Python Machine Learning Tutorial
  • We provide course completion certification and machine learning jobs Assistance

Who Should Learn Machine Learning Course Online?

In the Machine Learning Online Course, you should know about Web development you will learn machine learning easy. This course covers an overview of R, Business Analytics and Business Intelligence and you learn techniques that can play important role in solving complex problems. This concept of using data without using explicitly programming this course is related to Python why because Python language is commonly used for Machine Language.

  • It covers a detailed overview of various Algorithms and Techniques such as regression, classification, time series modelling,
  • Supervised learning and natural language processing etc.
  • You can also use Python programming, python ai, AWS, Azure, and NLP languages to write code for implementing various algorithms in this certification training.
  • You can gain a stronger understanding of the major Machine Learning projects with helpful examples.
  • If you have knowledge about any Software Technology you are eligible for this Course.
Course curriculum
    • Objectives
      • Introduction of some of the important keywords in R like Data Information, Business Analytics, and Business Intelligence.
      • You can also learn how R can play an important role in solving complex analytical problems.
      • This module tells you what is R and how it is used by giants like Facebook, Google, etc.
      • Learn use of ‘R’ in the industry.
      • Compare R with other software in analytics.
    • Topics
      • Business Analytics, Data, Information
      • Understanding Business Analytics and R
      • Compare R with other software in analytics
      • Install R and its packages
      • How to Perform basic operations in R using command line
    • Welcome to Machine Learning! In this module, you will learn about the core idea of teaching a computer to learn concepts using data, without being explicitly programmed.
    • Linear regression predicts a real valued output based on an input value.
    • Application of linear regression for housing price prediction, and cost function
    • Introduction of gradient descent method for learning.
    • Linear algebra concepts. Basic understanding of linear algebra is necessary, especially as we begin to cover models with multiple variables.
    • What if your input has more than one value? In this module, we will learn about how linear regression can be extended to accommodate multiple input features. Also learn about best practices for implementing linear regression.
    • Programming assignments designed to help you understand how to implement learning algorithms. In order to complete the programming assignments, you should learn to use MATLAB or Octave. This module introduces Matlab/Octave and learn how to submit an assignment.
    • Logistic regression is a method for classifying data for discrete outcomes. For example, logistic regression is used to o classify an email is spam or not. In this module, you will learn about classification, the application of logistic regression, and the cost function for logistic regression to multi-class classification.
    • Machine learning models need to generalize. In this module, you will learn about regularization which helps to prevent models from over fitting the training data.
    • Neural networks model is inspired by how the brain works. It is widely used in many applications. Neural networks help you to understand speech when you hear a voice through the phone. Machines that read the digits automatically also use neural networks. Like cashing a cheque.
    • In this module, we introduce the back propagation algorithm that is used to help learn parameters for a neural network. Learn about implementing your own neural network for digit recognition.
    • We share best practices for applying machine learning, and discuss the best ways to evaluate performance of the learned models.
    • Identify the areas for improvement to optimize a machine learning algorithm. Understanding the performance of a machine learning system with multiple parts, and also how to deal with skewed data.
    • Support vector machines (SVM) is a machine learning algorithm for classification. Learn and practice SVMs.
    • We use unsupervised learning method to build models to understand our data better. Learn about k-Means algorithm for clustering that enable us to learn groupings of unlabeled data points.
    • Introduction of  Principal Components Analysis, and show how it can be used for data compression to speed up learning algorithms and visualization of complex datasets
    • How to figure significant data from large number of data points. For example, in manufacturing, If we want to detect anomalies or defects. Learn how a dataset can be modeled for using Gaussian distribution, and how that model can be used for anomaly detection.
    • When you buy a product online, many websites would automatically recommend other products that you may like. Recommender systems produce recommendations to look at patterns of activities between different products and different users. In this module, we introduce recommender algorithms such as the low-rank matrix factorization and collaborative filtering algorithm.
    • Machine learning works best when there is an abundance of data. Application of machine learning algorithms with large datasets.
    • Identifying and recognizing digits, words, and objects in an image is a challenging task. How to build an environment to solve this tasks.
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Machine Learning Online Training FAQ’s:
1.What is Machine Learning

In the current scenario, Machine Learning is a high-demanding course. Before the certification training, The course will start with the basics of Machine Learning and then advanced topics will be taught.

2.What is the best language for Machine Learning?

Machine Learning Engineers can take various factors to decide which programming language suits for their project. Some of the languages are Java, Python, C++, and JavaScript.

3.What are the job roles in Machine Learning?

In this field there are many job roles like Data Scientists, Machine Learning Engineers, NLP Scientists, Computer Vision Engineers and data architects. FolksIT Machine Learning course will help you gain all the necessary skills to become eligible for such roles.

4.What is covered under 24/7 support?

We provide 24/7 support through chat, e-mail and telephone. We have a dedicated team which provides assistance through our forum.

5.How will this certification course help me to build a career in Machine Learning?

Machine Learning certification course is designed by experts who know what skills are most valued by employers. All the topics will be covered and deep learning of all the concepts will be thoroughly covered which will allow you to start a great career in this field.

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Live Instructor-led classes

We would like to create the best learning and interactive environment for our learners as part of their online learning experience.

Expert & Certified Trainers

We have one of the best faculty, with our trainers having substantial real-time industry experience. And are proactive in providing you the best information.

Flexible Schedule

Schedule your timings according to your convenience. No need to delay your daily work schedule.

Real-time Scenarios

Our learners are provided with real-time industry scenarios and also Industry-specific scenarios for practice and mock tests.

e-Learning Sessions

We provide our learners with online training videos and also have live training and practical sessions.

24/7 Support

We provide round-the-clock assistance and we are yearning to solve your queries with help of our expert trainers.

Why FolksIT

Extreme high-quality interactive training

Cutting-edge curriculum with job-ready training methodologies aligned with industry requirements.

Situational help and work assistance

Top-notch experts bring in the best practices and assignments, with live availability.

Learn & Practice on real-world problems.

Practice on real-world scenarios and data sets with hands-on experience.

A classroom like learning experience

Ultimate learning experience. Engaging, interactive, and communicative.