Description

Mastering Your Bandsaw with Mark Duginske

Mastering Your Bandsaw with Mark Duginske
DVDRip | English | AVI | 708 x 480 | XviD 2537 kbps | 29.970 fpsMP3 | 128 kbps | 44.1 KHz | 2 channels | 57 min | 1.07 GB
Genre: eLearning / Woodworking
Through his books and magazine articles and in seminars across the country,

Mark Duginske has helped thousands of bandsaw owners tweak their wayward machines into precision tune. He will show you how to do that and more, including some really extraordinary handsaw tricks and techniques.

And of course, we have to mention the usual suspects.

This whole course is based on Python and in every single section you will be getting hours and hours of invaluable hands-on practical coding experience.

Plus, throughout the course we will be using Numpy to do high computations and manipulate

high dimensional arrays, Matplotlib to plot insightful charts and Pandas to import and manipulate datasets the most efficiently.

As you can see, there are lots of different tools in the space of Deep Learning and in this course

we make sure to show you the most important and most progressive ones so that when

you’re done with Deep Learning A-Z™ your skills are on the cutting edge of today’s technology.

 then you will find this course extremely useful. Deep Learning A-Z™ is structured around special

coding blueprint approaches meaning that you won’t get bogged down in unnecessary programming or mathematical complexities and instead you will be applying

Deep Learning techniques from very early on in the course. You will build your knowledge from the ground up and you will see how with every tutorial you are getting more and more confident.

will find this course refreshing, inspiring and very practical. Inside Deep Learning A-Z™

you will master some of the most cutting-edge Deep Learning algorithms and techniques (some of which didn’t even exist a year ago) and through this course you

will gain an immense amount of valuable hands-on experience with real-world business challenges.

Plus, inside you will find inspiration to explore new Deep Learning skills and applications.