Hi.. Hello and welcome to my 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. Its also the most mis–understood and confused terms too.
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
Lets check what’s machine learning now. Just like we human babies, we were actually in our learning phase then. We learned how to crawl, stand, walk, then speak words, then make simple sentences.. We learned from our experiences. We had many trials and errors before we learned how to walk and talk. The best trials for walking and talking which gave positive results were kept in our memory and made use later. This process is highly compared to a Machine Learning Mechanism
Then we grew young and started thinking logically about many things, had emotional feelings, etc. We kept on thinking and found solutions to problems in our daily life. That’s what the Deep Learning Neural Network Scientists are trying to achieve. A thinking machine.
Instructor Details
Courses : 6
Specification: Complete Python Machine Learning & Data Science for Dummies
|
8 reviews for Complete Python Machine Learning & Data Science for Dummies
Add a review Cancel reply
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Price | $14.99 |
---|---|
Provider | |
Duration | 10.5 hours |
Year | 2021 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | No |
$84.99 $14.99
Edwin Tan Pei Ming –
Concepts are explained clearly. Learned a lot! Thank you Sir! Please create more lectures on different topics like Deep Learning, Artificial Intelligence, Data Science 🙂
Alexandre VASSILTCHENKO –
Very good course, i’ve learned some things that i didn’t in others (especially for data preparation, and imbalanced class), i’m very happy with it. I also appreciate the fact that you explain skewness and mathematics, giving us an oiverview without going to deep, so it makes it understable. I hope you’ll do one course on deep learning, still with lots of explanations. Thanks for sharing your knowledge.
Luis Antonio Dorantes Perez –
lento pero conciso
Judd Misael R. Baguio –
Good for students who don’t have experience of Python and want to delve in Machine Learning.
Bhupendra Bhat –
cool
Veena –
I enjoyed the course, thank you!
Nonso Derrick Vincent –
The course helped Me a lot in understanding the best way to improve accuracy in my ML models and how to choose the perfect model for a given task
Debbie Lee Shan Ying –
it was good, especially helpful with the examples. But concepts could be better explained as to what they do/why it is chosen to be used. Lacking depth in explanations