Description

Sıfırdan İleri Düzey Ads (AdWords) Eğitimi A’dan Z’ye

Genre: e Learning | MP4 | Video: h264, 1280×720 | Audio: aac, 48000 Hz Language: Turkish | Size: 12.5 GB | Duration: 24 hours
What you’ll Learn
Ads E?itim Sonras?nda Tamamen Panele Hakim Olacaks?n?z
Kendi Reklamlar?n?z? Olu?turabileceksiniz
Arama A?? Reklamlar?n? Y?netebileceksiniz
G?r?nt?l? Reklam A?? Reklamlar?n? Y?netebiliyor Olacaks?n?z
Yeniden Pazarlama Listeleri Nas?l Olu?turulur Tamamen Hakim Olacaks?n?z
Gmail Reklamlar? Nas?l Olu?turulur Tamamen ??reneceksiniz
Video Reklamlar? ??leyi?ini ??reneceksiniz
Al??veri? Reklamlar? Nas?l Olu?turulur – merchant center Hesab? Y?netimi ??reneceksiniz
Uygulama Reklamlar?na Hakim Olacaks?n?z
Requirements

cikit-learn the most practical Machine Learning library. We will mainly use it:

• to evaluate the performance of our models with the most relevant technique, k-Fold Cross Validation
• to improve our models with effective Parameter Tuning
• to preprocess our data, so that our models can learn in the best conditions

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.

If you are just starting out into Deep Learning, 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.