Demystifying AI, Machine Learning, and Deep Learning Course

Demystifying AI, Machine Learning, and Deep Learning


Demystifying AI & ML Algorithms

Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R


Instructors: Start Tech Academy, Minerva Singh, Eduonix Learning Solutions, Abhilash Nelson

Demystifying AI, Machine Learning, and Deep Learning. Learn about AI, machine learning, supervised learning, unsupervised learning, classification, decision trees, clustering, deep learning, and algorithms.


Deep learning, machine learning, artificial intelligence — all buzzwords that represent the future of analytics. In this post, we will explain what machine learning and deep learning are at a high level with some real-world examples. In future posts, we will explore vertical use cases. The goal of this is not to turn you into a data scientist but to give you a better understanding of what you can do with machine learning. Machine learning is becoming more accessible to developers, and data scientists work with domain experts, architects, developers, and data engineers, so it is important for everyone to have a good understanding of the possibilities. Every piece of information that your business generates has the potential to add value. This post and future posts are meant to provoke a review of your own data to identify new opportunities.

Why This Deal

Take all the 10 courses to learn different aspects of Machine Learning such as Building a Regression Model in R, Classification Models in R, Decision Tree in Python, Classification Models in Python, Regression Model in Python, Clustering and Classification with ML in Python, Machine Learning for Beginner, Machine Learning by Building Projects, ML with Tensorflow Practical Guide and Python ML & Data Science.

List Of Demystifying AI, Machine Learning, and Deep Learning Course


1. Machine Learning Basics: Building a Regression model in R


Machine Learning Basics: Building a Regression model in R. Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R. This course covers all the steps that one should take while solving a business problem through linear regression.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.


2. Machine Learning Basics: Classification models in R


Machine Learning Basics: Classification models in R. Use classification to solve business problems and master the basics of Machine Learning classification in R. This course covers all the steps that one should take while solving a business problem using classification techniques.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

3. Machine Learning Advanced: Decision Trees in Python



Machine Learning Advanced: Decision Trees in Python. Use Decision Trees to solve business problems and build high accuracy prediction models in Python. The course is created on the basis of three pillars of learning, With each lecture, we have provide a practice sheet to complement the learning in the lecture video. These sheets are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.

4. Machine Learning Basics: Classification models in Python


Machine Learning Basics: Classification models in Python. Use classification to solve business problems and master the basics of Machine Learning classification in Python. The course "Machine Learning Basics: Classification models in Python" teaches you all the steps of creating a Classification model to solve business problems.

Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.


5. Machine Learning Basics: Building Regression Model in Python


Machine Learning Basics: Building Regression Model in Python. Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in Python. The course "Machine Learning Basics: Building Regression Model in Python" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.

Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours.

6. Clustering & Classification With Machine Learning in Python


Clustering & Classification With Machine Learning in Python. Harness the Power of Machine Learning for Unsupervised & Supervised Learning in Python. As the title name suggests- this course your complete guide to both supervised & unsupervised learning using Python. This means, this course covers MAIN ASPECTS of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in Python, you can give your company a competitive edge - and boost your career to the next level.

7. Machine Learning For Absolute Beginners


Machine Learning For Absolute Beginners. A complete guide to master machine learning concepts and create real world ML solutions. Machine learning is changing the way we design and use our technology. It has slowly spread it’s reach through our devices, from self-driving cars to even automated chatbots. To define machine learning in the simplest terms, it is basically the ability to equip computers to think for themselves based on the scenarios that occur. This is the basis of artificial intelligence.

With machine learning as the future of technology, getting your hands on this type of development is crucial. However, it isn’t easy. Machine learning is a complex concept that uses algorithms to design coding that will help the computers decipher a lot of data. This is why we have designed this course. If you are interested in mastering machine learning using a simple and easy approach, then this course is for you!

8. Learn Machine Learning By Building Projects


Learn Machine Learning By Building Projects. Learn to build real world machine learning solutions across different verticals. Master professional machine learning. With Machine Learning becoming the next latest trend, we though it was time that learning machine learning should also shift from big companies to the hands of anyone who wanted to expand their careers in Machine Learning and AI.

For this reason, we have designed a complete and comprehensive Projects in Machine Learning course that offers a hands-on experience with ML and how to build actual projects using the Machine Learning algorithms. This course is a follow up to our Introduction to Machine Learning course and delves further deeper into the practical applications of Machine Learning.

9. Machine Learning With TensorFlow The Practical Guide


Machine Learning With TensorFlow The Practical Guide. A comprehensive source to help you learn Machine learning with TensorFlow. This course gives an insight into the basics of Tensorflow covering topics like tensors, operators and variables. It is a good option to master machine learning, its types and various main algorithms including linear regression. Furthermore, this course also covers advanced machine learning like a neural network, convolution neural network and others. Here, you’ll also gain the practice by implementing it in a project on Deep Neural Network.

10. Complete Python Machine Learning & Data Science for Dummies


Complete Python Machine Learning & Data Science for Dummies. Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas. New course, Machine Learning with Python for Dummies. We will discuss about the overview of the course and the contents included in this course.

Artificial Intelligence, Machine Learning and Deep Learning Neural Networks are the most used terms now a days in the technology world. Artificial Intelligence is a broad spectrum of science which tries to make machines intelligent like humans. Machine Learning and Neural Networks are two subsets that comes under this vast machine learning platform

GET ALL COURSES Just For $44  => Demystifying AI, Machine Learning, and Deep Learning Course


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