Applied ML: The Big Picture

A practical overview of Data Science, Machine Learning and how to use it efficiently in your problem solving

Created by : Rated :4 573 views

Last Updated: 2022-11-18 06:11:59 English Course Type: Self Learning

Discovering and increasing your data's potential || Supervised learning and it's real world applications || Unsupervised learning and it's real world applications || Reinforcement learning and it's real world applications || How to plan and execute your ML or DL project || How you can take control of data and ML lifecycle

This course will provide the technical knowledge you need to get started with applying Machine Learning (ML) to solve your problem efficiently and at scale. We start from the data stage, move onto ML concepts, tying them back to example use cases and their evaluation, and also cover planning and scaling strategies that help you get your solution out into the world. Beyond that, the course also covers steps that help you continuously maintain and improve your solution pipeline, throughout its lifecycle.

There could be parts of this course that the learner may be aware of already, but as someone who does this day in and out, I have tried to include scenarios, challenges, steps and the outlook to face even well known topics with more confidence than before, and put them together in a well-ordered flow. This might come in handy to someone preparing for an interview in this field. As someone who has learnt courses on the go during commute or other times, and having realised the time saving value, I have made the course's audio content substantially context rich for those who prefer consuming it through audio. It does have the video component as well, for visual learners.

This course can act as a well organised end-to-end guidebook to integrate Data Science and Machine Learning knowledge across the board into the everyday work of a Business Leader, Product Manager, Software Developer, Researcher, Analyst or Data Scientist, by being realistic and holistic. The learner can use this as a framework and mindset, that will enable them to think objectively and comprehensively at all stages of their data backed project's lifecycle, thereby increasing its success rate.

You just need to know what is software and how it works, to start understanding about how ML and DL software works and what their potential is

Business Leaders wanting to solve their problems through data, Product Managers, Software developers curious about solving problems using data, Beginner Data Scientists and Business Analysts

Section 1 : Introduction 2 Lectures 00:06:48
Lecture 1 :
Introduction to Instructor Preview
Lecture 2 :
Introduction to Course
Section 2 : Discovering your data's potential 4 Lectures 00:38:30
Lecture 1 :
Types of Data
Lecture 2 :
Data Preprocessing: Basic Steps
Lecture 3 :
Data Preprocessing: Advanced Steps
Lecture 4 :
Sampling the data
Section 3 : Supervised Learning 4 Lectures 00:26:27
Lecture 1 :
When to use supervised learning with examples
Lecture 2 :
Classification
Lecture 3 :
Regression
Lecture 4 :
Time Series
Section 4 : Unsupervised Learning 4 Lectures 00:22:19
Lecture 1 :
When to use unsupervised learning with examples
Lecture 2 :
Clustering
Lecture 3 :
Anomaly Detection
Lecture 4 :
Recommender systems and dimensionality reduction
Section 5 : Reinforcement Learning 2 Lectures 00:09:24
Lecture 1 :
Introduction to Reinforcement Learning
Lecture 2 :
Models and their implementation strategies
Section 6 : Planning, implementation and maintenance 2 Lectures 00:05:08
Lecture 1 :
How to plan a data-backed project
Lecture 2 :
Implementing and maintaining your data pipelines and ML services at scale
Section 7 : Bonus: Interview Preparation 1 Lectures 00:00:00
Lecture 1 :
Interview Tips
Section 8 : Test your Understanding 1 Lectures
Lecture 1 :
Quiz 1
10 Questions

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Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
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Sanjana Sahayaraj,

573 Course Views

1 Courses

Hey everyone, I started my career as an NLP Research Engineer with an MNC and later pivoted to more product-based roles as a Senior Data Scientist, and got into the startup world as well, where I got to own and apply data and ML at various stages. This gave me a holistic view on how the research and theory in ML space can translate to real business results when applied the right way. This is the practical knowledge I share on Udemy. In addition, I also run a podcast by the name "Data Epoch" on Spotify, Apple Podcasts and Youtube for the Data and ML community to come together and learn from each other.