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Machine Learning Training Classes in Salem, Oregon

Learn Machine Learning in Salem, Oregon and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Machine Learning related training offerings in Salem, Oregon: Machine Learning Training

We offer private customized training for groups of 3 or more attendees.
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Machine Learning Training Catalog

subcategories

Blaze Advisor Class
cost: $ 2090length: 2.5 day(s)
Introduction to Machine Learning Class
cost: $ 2090length: 3 day(s)
MCSA: Machine Learning Boot-Camp Class
cost: $ 3170length: 6 day(s)
Working with Elastic Search Class
cost: $ 1800length: 2 day(s)

Azure Classes

Business Analysis Classes

Data Analytics Class
cost: $ 1200length: 3 day(s)

Python Programming Classes

Data Analytics with R Class
cost: $ 1190length: 3 day(s)
Machine Learning using Python Class
cost: $ 1790length: 3 day(s)

Course Directory [training on all levels]

Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Blog Entries publications that: entertain, make you think, offer insight

Organizations That Use Python
[Feb, 19, 2018]    |
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Here is a list of the organizations that use Python. This list is periodically updated by HSG’s software fans as well as the community at large.
 

Web Development

1.       Yahoo Maps
Yahoo acquired Four11, whose address and mapping lookup services were implemented in Python. Yahoo Maps still uses Python today, as can be seen by examining its URLs.
 

2.       Yahoo Groups
A comprehensive public archive of Internet mailing lists that was originally implemented in pure Python. At one point Scott Hassan, one of the founders of Findmail/eGroups (the company that was later acquired by Yahoo), reported that they had 180,000 lines of Python underlying everything from their 100% dynamic website to all email delivery, pumping out 200 messages/second on a single 400 MHz Pentium.

 

Is Original Content Dying in Literary Work
[Aug, 08, 2012]    |
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One of the most significant developments of mankind has been the art of writing. The earliest type of writing was in the form of graffiti and paintings on rocks and walls of caves. The first people who engaged in writing are reported to have been Sumerians and the Egyptians around 3500-3200 BC.[i] Early writing of this type was in the form of cuneiform and hieroglyphics. After that, writing emerged in different styles and form per the different societies and differences in expression.

Words are magical. They have preserved records of civilizations. They express desires and dreams and thoughts. But why write at all? What was or is the motive for writing? People write for different reasons. Some write because they have something to say; something to share with others, to inform. Others write to share their feelings.

George Orwell claimed there are four main reasons why people write as depicted below:

·         Sheer Egoism: According to this concept, people write because they want to be talked about; they want to reveal their cleverness. People who are motivated by sheer egoism desire to be counted among the top crust of humanity such as scientists, artists, politicians, lawyers and successful businessmen who are always putting their thoughts in print.

C++ Pointers Tutorials
[Sep, 15, 2012]    |
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As part of our C++ Tutorials series, here is a free overview of C++ pointers you may enjoy and find beneficial.

C++ Pointers Tutorials

Python Programming for Cisco Networking Engineers
[Jun, 25, 2018]    |
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Wondering why Cisco is teaching network engineers Python in addition to their core expertise?
 
Yes, arguably there are many other tools available to use to automate the network without writing any code. It is also true that when code is absolutely necessary, in most companies software developers will write the code for the network engineers. However, networks are getting progressively more sophisticated and the ability for network engineers to keep up with the rate of change, scale of networks, and processing of requirements is becoming more of a challenge with traditional methodologies. 
 
Does that mean that all network engineers have to become programmers in the future? Not completely, but having certain tools in your tool belt may be the deciding factor in new or greater career opportunities. The fact is that current changes in the industry will require Cisco engineers to become proficient in programming, and the most common programming language for this new environment is the Python programming language. Already there are more opportunities for those who can understand programming and can also apply it to traditional networking practices. 
 
Cisco’s current job boards include a search for a Sr. Network Test Engineer and for several Network Consulting Engineers, each with  "competitive knowledge" desired Python and Perl skills. Without a doubt, the most efficient network engineers in the future will be the ones who will be able to script their automated network-related tasks, create their own services directly in the network, and continuously modify their scripts. 
 
Whether you are forced to attend or are genuinely interested in workshops or courses that cover the importance of learning topics related to programmable networks such as Python, the learning curve at the very least will provide you with an understanding of Python scripts and the ability to be able to use them instead of the CLI commands and the copy and paste options commonly used.  Those that plan to cling to their CLI will soon find themselves obsolete.
 
As with anything new, learning a programming language and using new APIs for automation will require engineers to learn and master the skills before deploying widely across their network. The burning question is where to start and which steps to take next? 
 
In How Do I Get Started Learning Network Programmability?  Hank Preston – on the Cisco blog page suggest a three phase approach to diving into network programmability.
 
“Phase 1: Programming Basics
In this first phase you need to build a basic foundation in the programmability skills, topics, and technologies that will be instrumental in being successful in this journey.  This includes learning basic programming skills like variables, operations, conditionals, loops, etc.  And there really is no better language for network engineers to leverage today than Python.  Along with Python, you should explore APIs (particularly REST APIs), data formats like JSON, XML, and YAML. And if you don’t have one already, sign up for a GitHub account and learn how to clone, pull, and push to repos.
 
Phase 2: Platform Topics
Once you have the programming fundamentals squared away (or at least working on squaring them away) the time comes to explore the new platforms of Linux, Docker, and “the Cloud.”  As applications are moving from x86 virtualization to micro services, and now serverless, the networks you build will be extending into these new areas and outside of traditional physical network boxes.  And before you can intelligently design or engineer the networks for those environments, you need to understand how they basically work.  The goal isn’t to become a big bushy beard wearing Unix admin, but rather to become comfortable working in these areas.
 
Phase 3: Networking for Today and Tomorrow
Now you are ready to explore the details of networking in these new environments.  In phase three you will dive deep into Linux, container/Docker, cloud, and micro service networking.  You have built the foundation of knowledge needed to take a hard look at how networking works inside these new environments.  Explore all the new technologies, software, and strategies for implementing and segmenting critical applications in the “cloud native” age and add value to the application projects.”
 
Community resources: 
GitHub’s, PYPL Popularity of Programming Language lists Python as having grown 13.2% in demand in the last 5 years. 
Python in the  June 2018 TIOBE Index ranks as the fourth most popular language behind Java, C and C++. 
 
Despite the learning curve, having Python in your tool belt is without a question a must have tool.

Tech Life in Oregon

In 1876 the University of Oregon opened in Eugene. Deady Hall, which is still in existence today, was the first campus building. Fast forward to the 1970’s, high technology industries and services have become primary employers in the state of Oregon. Tektronix was the largest private employer in Oregon until the late 1980s. Intel, the state's largest for-profit private employer, still operates four large facilities in town. The combination of these two companies started a tech haven called the, Silicon Forest. The tech attraction to the beaver State brought in Linus Torvalds, the developer of the Linux kernel, who opened a $400-million facility in Hillsboro to expand its production capabilities. Other newcomers like Google, Facebook and Amazon built large data centers throughout the state.
We learn to do by doing. Spencer W. Kimball
other Learning Options
Software developers near Salem have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Oregon that offer opportunities for Machine Learning developers
Company Name City Industry Secondary Industry
Precision Castparts Corp. Portland Manufacturing Tools, Hardware and Light Machinery
Nike Inc. Beaverton Manufacturing Textiles, Apparel and Accessories

training details locations, tags and why hsg

the hartmann software group advantage
why take Machine Learning Training with the hartmann software group?
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in Oregon since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about Machine Learning programming
  • Get your questions answered by easy to follow, organized Machine Learning experts
  • Get up to speed with vital Machine Learning programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
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