Machine Learning 0 to 1
Hey Guys,
As i promised to write some good articles on machine learning & AI, today i am going to start with one of my fav. subject Machine Learning
Since last couple of months, I came across many friends & students in my network who always talk about ML, wants to learn ML, but they don’t know where to start and what the best source of learning. So i have decided to write for them, who are new to ML, wanted to learn how ML actually working.
So today i am announcing my first series on Machine Learning 0 to 1.
Who can join this series ?
If you are software engineer/ student / business manager who wants to learn machine learning.
Let me give you brief idea about what i will cover in this series,
- Introduction to Machine Learning
- Types of machine learning algorithms
- Supervised algorithm
- Linear Regression
- Logistic Regression
- Decision Tree
- Support Vector Machines.
- Naive Bayes.
- k-nearest neighbor algorithm.
- Introduction to unsupervised algorithm
- Introduction to Neural Network
- Project
You guys might be thinking, there are plenty of resources available on this topics, why i am writing same thing right ? But my pattern of writing will be something different.
I believe, to understand any topic, you should have answer of three questions
WHY?
WHAT?
HOW?
If you know these answers, means you understood it very well. Same pattern i will follow in this series. For each algorithm, you guys will get answer of,
- What is it ?
- Why it is useful?
- Where it is useful? (Real life examples)
- How to use it? (Pro-grammatically)
- Sample code example
- Useful links
For each algorithm you will learn theory as well as practical too.
Guys believe me, next couple of weeks will be fantastic for us, If you are interested in AI & ML, looking for right path to start, this series is for you only.
Join Me
Follow me here OR
You can follow #machine-learning OR
If you have any doubts / questions, i will happy to help you.
Next Article Agenda
In first article of this series, we will learn what is machine learning, history of machine learning, different types of machine learning algorithms, we will see some real life examples too. see you soon guys !
-Hemang Mehta