Course Details

Machine Learning Overview

Machine Learning is a study that makes computers act without being explicitly programmed. It corresponds to a core sub-area of Artificial Intelligence. When exposed to new data, computer programs grow and develop by themselves. Machine Learning experts are widely contributing in making the software applications more scalable all over the world. Machine Learning training is available very simply in the present scenario and one can avail it to assure a career with tremendous growth. Currently, there are technologies that are helping businesses in this matter. One example is Machine Learning which is basically a form of Artificial intelligence. The primary aim of this approach is to enhance the software applications in every aspect.

CourseMachine Learning Training
Mode of Training Instructor Led Live Online Training
Duration 30 hours
Timings Flexible (Our Rep will work with you on the timings that suits your needs)
Course Material Our Expert Trainer will share you all the necessary course material, ppts, videos and pdfs
Examples Trainer will cover Real time scenarios during the training
Interview Questions Click here to see the Machine Learning Interview Questions
Certification Click here to know about the Machine Learning Certification
Salary Trends Check here to see the salary trends here.


After the completion of Machine Learning training, a participant will be able to:

  • Understand the working of Predictive Models and Business Analytics & Statistics.
  • Learn about the Regression Algorithms and Improved Performance.
  • Hands-on sessions in ‘R’.
  • Explanation about Neural Networks.

Following candidates can attend Machine Learning Training. Students/Freshers who is having enthusiasm in learning Machine Learning Can attend this Training.

  • Data Analysts
  • End Users
  • Programmers
  • Any graduate interested in the specific field.

  • There are no pre-requisites involved in learning Machine Learning. This course is specifically designed for the end user whose interest lies in the field.

Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These Machine Learning Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace.

On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process.

In Tekslate, Online Training Machine Learning is delivered by certified working professionals. Whether a participant is an end-user, partner or an employee working on the tool, our training and assessments will sculpt you to be successful in using critical methodologies by employing Machine Learning. Tekslate online training offers you a comprehensive way of learning Machine Learning and equips you in building a better career.

What we promise at TekSlate:

1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability.

2) We offer Machine Learning Alison Online Courses free demo session, students can attend the demo session, asses the trainer and then join the course.

3) We offer Machine Learning Algorithms and also share project scenarios which are similar to what you work when you go to the corporate environment. 

4) We share Machine Learning Course Online of each training session so that you can review them later as well. The videos developed by experts make it more easier for the learning professionals.

Machine Learning Online Training Curriculum

Learning Objects: In this module we will learn about Overview of Data Science and its Application.

Topics include: An Overview of Analytics and Data Science, Business Statistics and Application, An Introduction to R, Predictive Models and Machine Learning.

Practicals to be Covered: In this Practical class we will gain knowledge on Business Statistics, Predictive Models and Machine Learning.

Learning Objects: In this module we will learn about, introduction to Machine Learning.

Topics include: Introduction, Regression Algorithms, Classifiers: Bayesian and kNN, Tree Based Algorithms, SVM and Improving Performance.

Practicals to be Covered: In this Practical class we will gain Hands On Algorithms, Classifiers and improving Performance.

Learning Objects: In this module we will learn about Random Forest in Machine Learning.

Topics include: Single Decision Tree, Rise of Ensemble Method.

Practicals to be Covered: In this Practical class we will gain Hands-on Session in R on Business Cases.

Learning Objects: In this Session we will learn about General Boosting & Bagging in Machine Learning.

Topics include: Decision Tree Ensembles: Bagging and Boosting, Case Study: Analysis of Credit Data, Case Study: The Titanic Accident, Case Study: Comparing Algorithms.

Practicals to be Covered: In this Practical class we will gain Hands-on  Analysis of Credit Data, The Titanic Accident, Comparing Algorithms.

Learning Objects: In this Module we will learn about, Support Vector Machines in Machine Learning.

Topics include: Introduction to idea of Observation based Learning, Distances and similarities, K Nearest Neighbours (KNN) for Classification, Brief Mathematical background on SVM, Regression with KNN & SVM, Case Study.

Practicals to be Covered: In this Practical class we will talk more about Classification of KNN neighbours and Mathematical Background on SVM.

Learning Objects: In this module we will learn about, Neural Networks in Machine Learning.

Topics include: Introduction to Artificial Neural Networks, A Detailed Look at Neural Networks, Demo Sessions.

Practicals to be Covered: In this Practical class we will gain knowledge on how Artificial Neural Networks work in Machine Learning.

Learning Objects: In this module we will learn about Gathering text data using web scraping with urllib.

Topics include: Introduction to Text Mining, TM Packages in R, Regular Expressions, Sentiment Analysis, Topic Modelling, Network Analysis, Clustering.

Practicals to be Covered: In this Practical class we will discuss more about, TM Packages in R, Regular Expressions, Sentiment Analysis.

Learning Objects: In this module we will learn about Version Control using Github App in Machine Learning.

Topics include: Need and importance of version control, setting up git and Github on local machine, Creating and uploading GitHub Repos, push and pull requests with Github App, Merging and Forking projects, introduction to bokeh charts and plotting, Examples of static and interactive data products.

Practicals to be Covered: In this Practical class we will discuss about creating and uploading GitHub Repos, Merging and Forking Projects & more Examples of data products.


Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Secondary index exit intent. Tekslate also verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Tekslate even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

You will work on real world Microsoft Machine Learning Training Courses wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, e-commerce, marketing, sales, high technology and so on.

Our Trainers will provide the Environment/Server Access to the student Centered Learning and we ensure practical real-time experience and  Online Training by providing all the utilities required for Artificial neural network Application  the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Machine Learning Online Course Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available on the  Certification Cost if the participants are more than 2.

As we are one of the leading providers of Online training, We have customers from:

Online Machine Learning Training in USA:

  • New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Jose, Austin, Jacksonville, San Francisco, Columbus, Indianapolis, Fort Worth, Charlotte, Seattle, Denver, El Paso, Washington, Boston, Detroit, Nashville, Memphis, Portland, Oklahoma City, Las Vegas, Louisville, Baltimore, Milwaukee, Albuquerque, Tucson, Fresno, Sacramento, Mesa, Kansas City, Atlanta, Long Beach, Colorado Springs, Raleigh, Miami, Virginia Beach, Omaha, Oakland, Minneapolis, Tulsa, Arlington, New Orleans, Wichita, Cleveland, Tampa, Bakersfield, Aurora, Honolulu, Anaheim, Santa Ana, Corpus Christi, Riverside, Lexington, St. Louis, Stockton, Pittsburgh, Saint Paul, Cincinnati, Anchorage, Henderson, Greensboro, Plano, Newark, Lincoln, Toledo, Orlando, Chula Vista, Irvine, Fort Wayne, Jersey City, Durham, St. Petersburg, Laredo, Buffalo, Madison, Lubbock, Chandler, Scottsdale, Glendale, Reno, Norfolk, Winston–Salem, North Las Vegas, Irving, Chesapeake, Gilbert, Hialeah, Garland, Fremont, Baton Rouge, Richmond, Boise, San Bernardino.

Popular cities of Canada, like:

  • Toronto, Montreal, Vancouver, Edmonton, Hamilton, Ottawa, Calgary, Ontario, Qubec etc

Online Machine Learning Training in India:

  •  Online Machine Learning Training in Hyderabad, Online Machine Learning Training in Bangalore, pune, Delhi, Mumbai.

Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world

What is Machine Learning?

Machine Learning is a type of Artificial Intelligence that allows software Applications to become more accurate in predicting outcomes without being explicitly programmed. The basic Premise of Machine Learning is to build algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable change. Machine Learning Algorithms are classified into two groups Supervised or Unsupervised. Supervised Algorithms require humans to provide both input and desired output. Once training is complete, the algorithm will apply what was learned to new data. Unsupervised Algorithms do not need to be trained with desire outcome data. Instead, they use an iterative approach called deep learning.

The Process involved in Machine Learning are similar to that of data mining and predictive modelling. Both require searching through data to look for patterns and adjusting program actions accordingly.  Many people are familiar with machine learning from shopping on the internet and being served ads related to their purchase.

Difference between Artificial Intelligence and Machine Learning:

Artificial Intelligence and Machine Learning are two Buzz words right now and often to be used interchangeably. Artificial Intelligence on one hand is defined as the intelligence exhibited by machines by which it mimics cognitive functions that humans use while interacting with other machines. On the other hand, machine learning means to provide data to machines and let them learn for themselves.

Machine learning in one line can be defined as the ‘Algorithms through which machines can learn by using data, observations and experiences’. Powerful machine learning algorithms can help create various archetypes that can accurately predict future events and can warn people in advance. It can also help machines to make intelligent decisions based on their past experiences. Years of research in this field has helped to come up with algorithms that help machines to identify the problems and to come up with novel approaches to solve them. But still a great deal of code is written by researchers; hence years of research is still required to reach a level where machines can learn by themselves and come up with solutions without human help.

Artificial intelligence, in one line is ‘Human intelligence exhibited by a machine’. It is the ability of machines to inculcate the ability to think, to build perceptions, plan in advance and to respond like humans. The final aim of AI is to develop problem solving skills so that it can assist humans with their daily chores efficiently. Machine learning is a subset of AI because the ultimate goal is to make machines self dependent so as to take decisions based on logic, reasoning, rational thinking and past experiences.

The above points clearly depict the difference between machine learning and artificial intelligence where on one hand the former is about learning through data and past experiences and taking decisions on its basis; whereas the latter is about the ability of the machines to interact with humans and to help them in our day to day lives.

 Machine Learning Trend

  • Machine Learning can predict simulated earthquakes by listening to faulty lines. 
  • Amazon AI uses Machine Learning to work on fashion trends for the future.

Benefits to our Global Learners

  • Tekslate services are Student-centered learning.
  • Qualitative & cost effective learning at your pace.
  • Geographical access to learn from any part of the world.

Machine Learning Certification

Microsoft Machine Learning Certification helps build professional career in Machine Learning and demonstrate expertise in Analytics. It proves that the candidate has a good overall understanding within the area and can implement this knowledge practically in projects.

Learn Machine Learning at TekSlate and get qualified for the professional certification. The course has been designed to give your career a strong boost with the course. Having a certification distinguishes you as an expert.

If you want to be a certified professional in Machine Learning, there are two options available for you:

• Beginner’s Level Diploma in Machine Learning
• Advanced Level Diploma in Machine Learning

Machine Learning is an excellent Artificial Intelligence approach that has gained publicity because of its error free results. A very large number of organizations all over the world have invested in this approach to get the most favorable results. As organizations can simply make sure that computers are acting without explicitly programmed, they are looking for the experts who can help them in accomplishing this task. Therefore building a career as a Machine Language expert is one of the best choices.

Course Reviews


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