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Quality Score

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Overall Score : 98 / 100

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Course 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

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Instructor Details

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Dan is a 30 year old entrepreneur ,data scientist and data analytics / visual analytics consultant. He holds a master degree and is certified in Power BI as well as a Qualified Associate in Tableau software. He is currently working in Business Intelligence field and helps major companies to get key insights from their data to deliver long term growth and outpace their competitors.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 or explore a new career path."Helping others is the greatest joy""In order to do the impossible you need to see the invisible""If you don't like where you are then change. Life is too short!" You can do it!

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Reviews

4.9

8 total reviews

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By Marissa M

very nice. That helps a lot.

By Joe Flatten

This solves a lot of questions I had.

By Thomas Jump

very helpful in answering questions I have as a beginner.

By Bb_blue vayner

The course helps to clarify a few questions and ends with creating a neural network in python. I learned a lot about the topic and want to see other courses to get even more into this topic

By SelinaBlack

I had some basic preknowledge but this course helped me to understand certain concepts in machine learning better. It's definitely worth watching

By Ente Django

When starting machine learning a lot of questions came up at least for me. I decided to take the course to find some answers and learn how to program a neural network. I also took the two crash courses from Daniel which helped me a lot

By JChase

Very Good. Answers a lot of questions and combines this with programming the solution

By Yulius R Lozano

Have a good walkthrough, but lacks on theory background overview and lack of how to prepare the environment to start the hands on.

At the end of the course, yes there is a little bit understanding of the accuracy, but there is no usage of the created model to the some new data to check the result.