CLOUD ACADEMY INTRODUCTION TO MACHINE LEARNING PART ONE-STM

                             .:PROUDLY PRESENTS:. 
            Cloud Academy Introduction to Machine Learning - Part One           
                          Release Date.: 09-07-2020 
                          Type.: Bookware 
                          Disks.: 21x50mb     
                          Link.: https://cloudacademy.com     
                       Release Notes         
       Welcome ?to an introduction to using Artificial
       Intelligence and Machine Learning with a focus on Amazon
       Web services and the Google Cloud platform. This course? is
       designed to be a gentle introduction, starting at the
       ground up and focusing on giving students the tools and
       materials they need to navigate the topic. It will also
       include the necessary skills around data engineering, cloud
       management and even some systems engineering. There are
       several labs directly tied to this learning path, which
       will provide hands-on experience to supplement the academic
       knowledge provided in the lectures.
       This course begins with a introduction to AI and ML, before
       moving onto explain the different levels of users in the
       field. Then we take a look at out-of-the-box solutions for
       AI and ML, before looking at a case study to give you the
       topics covered during this course in a real-world example.
       For any feedback relating to this course, please contact us
       at support@cloudacademy.com.
       Learning Objectives
       By the end of this course, you'll hopefully understand how
       to take more advanced courses and even a springboard into
       handling complex tasks in your day to day job, whether it
       be a professional, student, or hobbyist environment.
       Intended Audience
       This course? is a multi-part series ideal for those who are
       interested in understanding machine learning from a 101
       perspective, and for those wanting to become data
       engineers. If you already understand concepts such as how
       to train and inference a model, you may wish to skip ahead
       to part two or a more advanced learning path.
       Prerequisites
       It helps if you have a light data engineering or developer
       background as several parts of this class, particularly the
       labs, involve hands-on work and manipulating basic data
       structures and scripts. The labs all have highly detailed
       notes to help novice users understand them but you will be
       able to more easily expand at your own pace with a good
       baseline understanding. As we explain? the core concepts,
       there are some prerequisites for this course.
       It is recommended that you have a basic familiarity with
       one of the cloud providers, especially AWS or GCP. Azure,
       Oracle and other providers also have machine learning
       suites but these two are the focus for this class.
       If you have an interested completing the labs for hands on
       work, Python is a helpful language to understand. Now, if
       you're looking into a career in machine learning, you can
       definitely do it with languages such as Java, C#, even
       lower level languages such a C++ or functional languages
       such as R or Matlab. However, in my experience, Python is
       the most widely adopted language specifically, if you're
       looking to go heavy duty into training, learning, and
       developing models,
                       Greetings fly out to:            
                     Kodemusen, KoseBamsen           
                         STM is back.                
                For all the ppl we worked with        
                in the past. We salute you.          
                     NFO by NiMiTech              
                  Updated: 09/09/2002          

965M	Cloud Academy Introduction to Machine Learning - Part One
965M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning
48M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.01.Introduction.mp4
8.0K	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.01.Introduction.vtt
286M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.02.Hierarchy.mp4
12K	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.02.Hierarchy.vtt
224M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.03.Levels of AI Users.mp4
12K	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.03.Levels of AI Users.vtt
278M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.04.Level 1 Leveraging Out of the Box.mp4
16K	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.04.Level 1 Leveraging Out of the Box.vtt
130M	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.05.Case Study.mp4
12K	Cloud Academy Introduction to Machine Learning - Part One/01.Introduction to Machine Learning/01.05.Case Study.vtt
965M	total