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Course Name Machine Learning Training in Chennai
Deal You get access to all videos for the lifetime
Hours 307+ Video Hours
Core Coverage Machine learning using Python, Deep Learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Business Intelligence, Artificial Intelligence, Projects on Machine learning.
Course Validity Lifetime Access
Eligibility Anyone serious about learning Machine Learning and wants to make a career in this Field
Pre-Requisites Familiarity with at least one programming language is recommended
What do you get? Certificate of Completion for each of the 57 courses, Projects
Certification Type Course Completion Certificates
Verifiable Certificates? Yes, you get verifiable certificates for each57 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training Video Course – Self Paced Learning
Software Required None
System Requirement 1 GB RAM or higher
Other Requirement Speaker / HeadphoneMachine Learning Training in Chennai Curriculum
To me a Machine learning engineer, you need to understand the machine learning techniques in various concepts such as decision tree, graphical model, neural network, algorithm, evaluate the programs. R is used for machine learning and data analysis. It will help to analyze the data, plot the data points, and built a statistical data model. Python can learn machine language by computing the program and also the algorithm representation.
We will discuss more on the below topics in this Machine Learning Training in Chennai
What is ML?
Opportunities in ML
What are the ML models?
Why R is popular?
Hands-on in Deep Learning
Projects on ML
Shipping and Time Estimation
Supply Chain Demand Trends Analysis
Predicting Prices using Regression
Fraud Detection in Credit Payments
Banking and Credit FraudsMachine Learning Training – Certificate of Completion What is Machine Learning?
ML is a technique that allows us to learn the example and experience and it can be converted into programmatically. You no need to write code at each time, when you feed data to the algorithm and the algorithm can build the code based on the data. Here we understand how the system works? – It will learn automatically based on experience and gives better performance. Where do we see the real-time example? – We can see in our computer applications such as email filtering, network intruders, and vision are developed such an algorithm to act and it will be used for making predictions. For example, you post a photo on Facebook, and it will ask you whom to tag in the photo and will also give the suggested names. So this is one of the best examples of machine learning. Nowadays in industries, ML is one of the greatest in-demand technology.
It is the analytical tool specifically designed for data science and it will help us to solve any complex problems
Python is the coding language and it plays a major role in Data scientists. It can be format the data and easily import SQL tables into our code
The query language is used for operations like add, delete and update data from database and also help the analytical functions
Programming Languages like Python/C++/R/Java
You will need to know some of these technologies to enter into Machine Learning. Here C+= is for speed-up the coding, Hadoop is working based on Java, R is for statistics and plots the data points.
Probability and Statistics concepts
Understanding the probability to make the prediction and statistics can help the model evaluation metric
Data modeling and evaluation
You can able to find patterns, predictions, unseen instance, and determine the error measures from the log message.
Software engineering and system design
Engineers must be the ability to work with library calls, REST APIs, and SQL queries to build the interfaces. And involves in system analysis, system design, version control, testing and documentation
Professionals who work as an analyst, data driving, sales department, banking projects can also get benefit from this Machine Learning Training in Chennai.
Students who completed their degree also opt for this course.
A business consultant who is in customer relationships can learn this Machine Learning Training in Chennai to get familiar with the existing product analysis.Machine Learning Training in Chennai – FAQ’s What is the qualification that needs to learn Machine Language?
It is one of the frequently asked questions for all new joiners and enquiring about our Machine Language.
Good Knowledge in Statics and Mathematics concept
Basic knowledge and understanding in the programming languageIf I’m joining this Machine Learning Training in Chennai, do we need a Machine Learning experience?
You don’t need to have prior experience in ML. Our expertise will available for you to teach the basics of machine learning techniques and will provide you the guidance to learn quicklyHow Artificial Intelligence, Machine Learning, and data science are related?
AI is the intelligent machines that work, react, and think like humans. ML is the sub-field of AI. Data science is about data gathering, processing, analysis, and virtualization. All these three for decision making.Where can I learn more about ML?
You can browse the ML topic on the internet, and you can get into the blog to get the reading materials and articles available for you. Prefer to watch the youtube videos.
After completed this Machine Learning Training in Chennai, you’ll enable with all these below
You’ll gain the knowledge in mathematical and statics of machine learning
Can be expert in writing algorithms and how to implement in applications
Understand of supervised and unsupervised learning concepts
If you’re a student, it will help to crack your interview to get placed in developed industries.
It will get a good opportunity to switch your current job with a 35% to 55% hike in a reputed company.
It will enable you to get the highest paying in the roleReviews Great!
LinkedAmmar Khan Awesome Course!
LinkedRakesh Mohan Mohapatra Introduction to Machine Learning
LinkedMeenal Kohat Machine Learning with R
LinkedKeerthi Vasan Introduction to Machine Learning
Great course, concepts are very well explained and so very easy to grasp and understand the general concepts or ideas revolving around machine learning algorithms. I think you can easily apply some of these skills directly to various problems, even in your research, and can be a great addition to your skills.Ajay Ashok
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