Mastering Machine Learning From Scratch
Learn bits and bytes of Machine Learning from the absolute beginning with in-depth theoretical and practical explanation
Development ,Data Science,Machine Learning
Lectures -49
Duration -9.5 hours
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Course Description
Are you ready to start on your path to becoming a machine learning expert? But worried the learning curve is too steep?
Well, that’s understandable. Machine learning is typically explained using complex mathematical principles. This course, however, cuts through the math and makes it easy for you to learn how machine-learning algorithms work.
This course will teach you the strengths and weaknesses of today’s most preferred machine learning algorithms. You’ll also learn the best algorithm to apply in real-world situations.
But do you wonder whether it’s worthwhile to master machine learning in these uncertain times and if machine learning engineers have a bright future?
Listen to what the most relevant experts have to say:
- “Machine learning will automate jobs that most people thought could only be done by people.” ~ Dave Waters
- “Just as electricity transformed almost everything 100 years ago, today I have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years.” ~ Andrew Ng
- “A breakthrough in machine learning would be worth ten Microsofts.” ~ Bill Gates
When it comes to machine learning, you have an assortment of courses and lectures to choose from. How is this course different from the others?
Getting started is the most difficult part when you start learning something new. But the well-planned step-by-step design of this course makes not only getting started easy but also makes moving forward easier.
This is how the course is designed and your learning progresses. In every new tutorial, you build on what you have already learned and move one extra step forward. You are then assigned a small task that you solve at the beginning of the next video.
You don’t need to worry if you don’t know Python. We have a course for absolute beginners in Python, as well.
This exhaustive course will enable you to use the power of machine learning to solve real-world problems in the workplace. You’ll build strong foundational knowledge first before moving on to advanced stuff. You’ll start from scratch, and finally, you’ll learn how to implement a face recognition application.
You’ll also implement several mini projects in live coding sessions in which you’ll gain a complete understanding of how to implement any machine learning project. Some errors have been built into your assigned tasks deliberately so that you learn how to find these mistakes in the code and fix them just like a beginner.
This course is designed for both beginners with some machine learning knowledge and even for those who know nothing about machine learning.
Who this course is for?
- This course is for you if you want to learn how to train your machine just like a kid.
- This course is for you if you don’t know anything about machine learning but want to know it well enough so that you can implement projects based on Artificial Intelligence.
- This course is for you if you are tired of machine learning courses that are too complicated and expensive.
- This course is for you if you want to learn machine learning practically.
- This course is for you if you want to learn machine learning from zero and become proficient in it fast.
- This course is for you if you are curious to learn about the theory of machine learning and then implement it in real-world projects.
Goals
- The importance of machine learning in this era.
- How to train your machine to learn.
- How can your machines learn from data?
- Different machine learning methods.
- Regression algorithms.
- Classification algorithms.
- Clustering algorithms.
- Data preparation.
- How to deal with image/audio video and text data.
- Model optimization.
- How to build machine learning models from scratch.
- How to build linear regression from scratch.
- How to build a classifier from the very beginning.
- How to implement K-mean clustering from the absolute beginning.
- Overfitting and how to fix it.
- Regularization and generalization.
- Data snooping and cross-validation.
- Performance matrices.
- Dimensionality reduction.
- Cross-validation and learning curves.
- An overview of Deep Learning.
- Introduction to DNN, CNN, and RNN.
- Basic mathematics for machine learning (optional).
- Implement projects from scratch.
- Implement any project using machine learning tools.
- Build a face recognition application.
Prerequisites
- Absolutely no prior knowledge or experience is needed. Only a genuine passion to be successful!
- We expect our students to have zero knowledge of machine learning.
- Admin permission to download files.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to the Course
2 Lectures
-
Introduction to the Course 11:21 11:21
-
Focus of the Course 09:26 09:26
Why Machine Learning
3 Lectures

Process of Learning from Data
2 Lectures

Machine Learning Methods
8 Lectures

Data Preparation and Preprocessing
5 Lectures

Machine Learning Models and Optimization
5 Lectures

Building Machine Learning Model from Scratch
6 Lectures

Overfitting, Underfitting and Generalization
6 Lectures

Machine Learning Model Performance Metrics
2 Lectures

Dimensionality Reduction
2 Lectures

Deep Learning Overview
3 Lectures

Hands-on Machine Learning Project Using Scikit-Learn
4 Lectures

OPTIONAL Section- Mathematics Wrap-up
1 Lectures

Instructor Details

AI Sciences
Welcome to the epicenter of innovation, where a collective of visionaries, PhDs, and leading practitioners in Artificial Intelligence, Computer Science, Machine Learning, and Statistics unite. Our team hails from the tech titans - Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.
In our commitment to demystify the complex world of tech, we've crafted an extensive series of courses. Tailored primarily for beginners and newcomers, these courses are your gateway into the realms of Machine Learning, Statistics, Artificial Intelligence, and Data Science. We embarked on this journey with a simple goal: to make these advanced concepts accessible, minimizing theory and lengthy texts, allowing eager minds to dive straight into practice.
As our mission evolved, so did our offerings. We now present comprehensive courses that cater to a broader audience, ensuring everyone can navigate and master these fields with ease.
The impact of our courses has been nothing short of remarkable. We've empowered over 100,000 students, transforming them into masters of AI and Data Science. Join us, and be part of this journey of learning and empowerment, where your mastery of the future begins today.
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