CLOUD ACADEMY INTRODUCTION TO MACHINE LEARNING PART TWO-STM

                             .:PROUDLY PRESENTS:. 
            Cloud Academy Introduction to Machine Learning - Part Two           
                          Release Date.: 08-07-2020 
                          Type.: Bookware 
                          Disks.: 28x50mb     
                          Link.: https://cloudacademy.com     
                       Release Notes         
       Welcome ?to Part Two of an introduction to using Artificial
       Intelligence and Machine Learning. As we mentioned in part
       one, this course starts at the ground up and focuses on
       giving students the tools and materials they need to
       navigate the topic. 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.
       In part one we looked at how you can use out-of-the-box
       machine slearning models to meet your needs. In this
       course, we are going to build on that and look at how you
       can add your own functionality to these pre-canned models.
       We look at ML training concepts, release processes, and how
       ML services are used in a commercial setting. Finally, we
       take a look at a case study so that you get a feel for how
       these concepts play out in the real world.
       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; starting from a very basic level and ramping
       up over time. 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          

1.3G	Cloud Academy Introduction to Machine Learning - Part Two
1.3G	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two
340M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.01.Introduction.mp4
16K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.01.Introduction.vtt
350M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.02.Level 2 Training Concepts.mp4
16K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.02.Level 2 Training Concepts.vtt
152M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.03.Level 2 Release Process.mp4
8.0K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.03.Level 2 Release Process.vtt
207M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.04.Level 2 Commercial Services.mp4
12K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.04.Level 2 Commercial Services.vtt
164M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.05.Case Study - Labeling Houses.mp4
8.0K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.05.Case Study - Labeling Houses.vtt
94M	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.06.Summary.mp4
4.0K	Cloud Academy Introduction to Machine Learning - Part Two/01.Part Two/01.06.Summary.vtt
1.3G	total