Introduction to Machine Learning for Data Science Udemy Free Download
A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.
What you’ll learn
- Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
- To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
- The Impacts Machine Learning and Data Science is having on society.
- To really understand computer technology has changed the world, with an appreciation of scale.
- To know what problems Machine Learning can solve, and how the Machine Learning Process works.
- How to avoid problems with Machine Learning, to successfully implement it without losing your mind!
Requirements
- A passion to learn, and basic computer skills!
Description
Course Most Recently Updated Nov/2018!
Thank you all for the huge response to this emerging course! We are delighted to have over 20,000 students in over 160 different countries. I’m genuinely touched by the overwhelmingly positive and thoughtful reviews. It’s such a privilege to share and introduce this important topic with everyday people in a clear and understandable way.
I’m also excited to announce that I have created real closed captions for all course material, so weather you need them due to a hearing impairment, or find it easier to follow long (great for ESL students!)… I’ve got you covered.
Most importantly:
To make this course “real”, we’ve expanded. In November of 2018, the course went from 41 lectures and 8 sections, to 62 lectures and 15 sections! We hope you enjoy the new content!
Unlock the secrets of understanding Machine Learning for Data Science!
In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come.
Our exotic journey will include the core concepts of:
- The train wreck definition of computer science and one that will actually instead make sense.
- An explanation of data that will have you seeing data everywhere that you look!
- One of the “greatest lies” ever sold about the future computer science.
- A genuine explanation of Big Data, and how to avoid falling into the marketing hype.
- What is Artificial intelligence? Can a computer actually think? How do computers do things like navigate like a GPS or play games anyway?
- What is Machine Learning? And if a computer can think – can it learn?
- What is Data Science, and how it relates to magical unicorns!
- How a perfect storm of data, computer and Machine Learning algorithms have combined together to make this important right now. Do you have a super computer in your home? You might be surprised to learn the truth.
- We’ll discuss the kinds of problems Machine Learning solves, and visually explain regression, clustering and classification in a way that will intuitively make sense.
- Most importantly we’ll show how this is changing our lives.
To make sense of the Machine part of Machine Learning, we’ll explore the Machine Learning process:
- How do you solve problems with Machine Learning and what are five things you must do to be successful?
- How to ask the right question, to be solved by Machine Learning.
- Identifying, obtaining and preparing the right data … and dealing with dirty data!
- How to identify and apply Machine Learning algorithms, with exotic names like “Decision Trees”, “Neural Networks” “K’s Nearest Neighbors” and “Naive Bayesian Classifiers”
- And the biggest pitfalls to avoid and how to tune your Machine Learning models to help ensure a successful result for Data Science.
Our final section of the course will prepare you to begin your future journey into Machine Learning for Data Science after the course is complete. We’ll explore:
- How to start applying Machine Learning without losing your mind.
- What equipment Data Scientists use, (the answer might surprise you!)
- The top five tools Used for data science, including some surprising ones.
- And for each of the top five tools – we’ll explain what they are, and how to get started using them.
Bonus Course! To make this “really real”, I’ve included a bonus course!
Most importantly in the bonus course I’ll include information at the end of every section titled “Further Magic to Explore” which will help you to continue your learning experience.
In this bonus course we’ll explore:
Who this course is for:
- Anyone interested in understanding how Machine Learning is used for Data Science.
- Including business leaders, managers, app developers, consumers – you!
- Adventurous folks, whom are ready to strap themselves into the exotic world of Data Science and Machine Learning.