Q&A in Machine Learning and Neural Networks for beginners
3.9 (15 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
371 students enrolled

Q&A in Machine Learning and Neural Networks for beginners

Find answers to common machine learning questions which arise when you start to learn
3.9 (15 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
371 students enrolled
Created by Dan We
Last updated 11/2019
English
English [Auto]
Current price: $69.99 Original price: $99.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 2 hours on-demand video
  • 4 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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
Course content
Expand 20 lectures 02:00:39
+ Welcome to the M...
20 lectures 02:00:38
One important thing before you start
00:24

This video ist part of another machine learning and neural networks course. However I tells you all about software you should install for machine learning & neural networks. Hope that serves you well.

relevant Software to install for machine learning
15:53
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
Your input is needed - share your thoughts and ideas
00:09
Other related AI courses on udemy
00:12
Bonus - How to use Transfer learning to predict ice cream
12:13
Requirements
  • Basic knowlege of python syntax is helpful
  • your personal interest in the topic and willingness to code along
  • You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction
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! 


"From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"


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


Addon Updates:

If you want to dive deeper into Neural Nets and learn to understand and program more than check out my additional courses which cover additional content which will give you additional knowledge. 

  1. A beginners guide for building neural networks in tensorflow 

  2. neural networks transfer learning and sentiment prediction 

  3. How neural networks work - a glimpse into math for beginners

  4. A crash course in neural networks for beginners

  5. A crash course in neural networks for beginners - deep dive 

  6. machine learning and neural networks mini case studies

  7. neural networks for beginners from scatch 

  8. machine learning with text for beginners

You can easily find them by checking out my instructor profile.


Who this course is for:
  • 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
  • You want to take advantage of the data driven opportunity ahead