Q&A in Machine Learning and Neural Networks for beginners
4.9 (10 ratings)
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Q&A in Machine Learning and Neural Networks for beginners

Find answers to common machine learning questions which arise when you start to learn
4.9 (10 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
270 students enrolled
Created by Daniel We
Last updated 7/2017
English
Curiosity Sale
Current price: $10 Original price: $100 Discount: 90% off
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 1 Article
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • You know the basic concepts in machine learning
  • You know who to deal with certain datatypes
  • You know how to apply what we discussed by implementing a neural network in code
View Curriculum
Requirements
  • Basic knowlege of python syntax is helpful
  • your personal interest in the topic and willingness to code along
Description

What is machine learning / ai ? How to lean machine learning in practice? Where should I start learning to code my first neural network? What are commonly asked questions and problems?

machine learning / ai (artificial intelligence) is the hottest topic in this century - for good reasons. In one word - It' s the future! 

However as a beginner there is always the question how and where to start. That's why I created courses to help you dive into this topic. In this specific course we are covering

  1. Important terms in machine learning
  2. Problems which almost always arise and how to deal with them 
  3. Understand important differences between certain machine learning ideas
  4. Apply our new knowledge and code a neural network in python

This Q&A should help you to get started and better understand the world of machine learning.

Do you want to take your chance and expose yourself to this interesting topic which will shape the future? Then join me and other students to dive deeper into machine learning right now. What are you waiting for?

See you in the first lecture

Who is the target audience?
  • beginners who want to expose themself to programming their first neural network
  • beginners in machine learning who want to understand fundamental concepts
  • beginners who search for answers of common questions in machine learning and neural networks
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Curriculum For This Course
15 Lectures
01:31:46
+
Welcome to the M...
15 Lectures 01:31:46



3 encoding data into useful information
03:39

Material datasets to download
00:02

4 apply one hot encoding in code 1
11:46

5 apply one hot encoding in code 2
05:13

6 training,validation,testing datasets
05:15

7 how to handle missing values intro
07:16

8 how to handle missing value in code
12:00

9 missing values - better solutions
10:43

10 final project - create a neural network and apply concepts we have learned 1
11:22

11 final project - create a neural network and apply concepts we have learned 2
10:24

12 let's check the neural networks performance
01:03

13 the final act - log out and last words
01:09
About the Instructor
Daniel We
4.6 Average rating
201 Reviews
5,001 Students
19 Courses
Traveller

Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.

He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.

"In order to do the impossible you need to see the invisible"