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Machine Learning is the process of training a computer in such a way that it can infer knowledge from the data followed by optimizing the parameters in such a way that we can get better and better at what we are trying to achieve.
Machine Learning is a Subset of Artificial Intelligence.
In this Machine Learning Course you will learn all the types of machine learning as well as their
- Algorithms of Machine Learning
- Knowledge of Mathematics for Machine Learning
- Knowledge of Statistics for Machine Learning
- Building Computer Project for solving Real Life problems using Machine Learning
Need of Machine Learning
It enables self-learning capability in computers where they can learn, grow, change, and develop by themselves.
There is no need to program them again and again for tasks. They will learn from the input data.
Machine learning is Helpful in
- Transportation – Can drive vehicles for you.
- Healthcare – Can Detect diseases and suggest cures.
- Security – Face Recognition, voice recognition, finger prints etc.
- Banking – Credit Card Frauds, Loan Applications, Virtual Personal Assistants etc.
For Example – Based on the previous data from spam emails like – some particular words, style of writing, ip address, suspicious links etc. an email service can automatically filter the suspicious emails as spam. A machine will learn that and do it automatically every time, there no need to program it again and again.
Machine Learning is a hot topic these days. The need for a course on machine learning is growing in order to help students learn about the benefits of ML and how they can take advantage of it for themselves.
What does Machine Learning Course by Slidescope offer
Machine learning course is a popular trend these days. Machine Learning promises to make our lives easier by automating certain tasks like image tagging or content generation at scale. It provides us with opportunities such as deep learning and natural language processing to improve our day-to-day life interactions with technology.
This section will provide you with an introduction on machine learning course, its benefits and what to expect from this training program
- You will learn Core and Advanced Python and R Programming from Scratch
- You will learn Institution and Practical Implementation of following algorithms on real time datasets:
- Support Vector Machine
- Naive Bayes Classifier
- Linear Regression
- Logistic Regression
- K Means Clustering
- Decision Tree Algorithm
- Random Forest Algorithm
You will also learn how to find scores of algorithms when applied on datasets.
Machine Learning is a branch of Artificial Intelligence. It is an area of computer science that gives computers the ability to learn without being explicitly programmed.
Machine Learning has been around for a while, but it really started to grow rapidly in the last decade. The reason for this growth is because it has become increasingly easy to process large amounts of data and machine learning algorithms have become more accurate.
Machine Learning is the science of getting computers to act without being explicitly programmed. It is already being used in many industries to automate tasks that are, for now, too complex or time-consuming for humans.
Machine learning involves the construction of mathematical models from sets of data. These models are then used to make future predictions or decisions.
Some examples where machine learning is currently being deployed
– Google Translate uses Machine Learning to translate text between languages by considering millions of sentences previously translated by human translators. The system identifies patterns in these translations and uses them to produce its own translations.
– Netflix uses Machine Learning for personalized movie recommendations, choosing what you might like to watch next based on your previous viewing habits and ratings on films and TV shows you watched or rated before.
If you want to join Machine Learning Course or get a free demo please contact us
