Machine Learning Training Classes in Bloomington, Minnesota
Learn Machine Learning in Bloomington, Minnesota 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 Bloomington, Minnesota: Machine Learning Training
Machine Learning Training Catalog
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5 December, 2024 - 6 December, 2024 - Linux Fundaments GL120
9 December, 2024 - 13 December, 2024 - VMware vSphere 8.0 Boot Camp
9 December, 2024 - 13 December, 2024 - Ruby Programming
2 December, 2024 - 4 December, 2024 - Fast Track to Java 17 and OO Development
9 December, 2024 - 13 December, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Applications are becoming more and more sophisticated as languages such as Python open the doors to the world of programming for people who have the creative vision but always felt actually writing code was beyond their grasp.
A large part of any programs success is based on how well it can react to the events which it has been programmed to understand and listen for.
A good example of an event would be when the user clicks a button on the applications window. What happens when that button is clicked?
Well, the first thing that happens is the operating system sends out a message to let any listening software know that the button was clicked. Next, your application needs to do something in response to that event.
With the rise of the smart phone, many people who have long seen themselves as non-gamers have began to download and play to occupy themselves throughout the day. If you're a game developer who has a history of writing your code in C#, then perhaps this still emerging market is something you should consider taking advantage of. This, however, will require the familiarization with other programming languages.
One option for moving away from the C# language is to learn Java. Java is the programming used for apps on the android platform, billions of phones run on this programming language.
If you want to break into the android market, then learning Java is an absolute must.
There are both some pros and some cons to learning java. Firstly, if you already know C# or other languages and understand how they work, then java will be relatively easy to learn due to having similar, but quite simplified, syntax to C-based languages, the class library is large and standardized, but also very well written, and you might find that it will improve the performance and portability of your creations. Not to mention, learning java opens you up to the entirety of the android app and game market, a very large and still growing market that would otherwise stay closed off to you. That's too much ad and sale money to risk missing out on.
The few cons that come with learning the language is that, when coming from other languages, the syntax may take some getting used to. This is true for most languages. The other problem is that you must be careful with the specifics of how you write your code. While java can be written in a very streamlined fashion, it's also possible to write working, but bulky, code that will slow down your programs. Practice makes perfect, and the knowledge to avoid such pitfalls within the language.
If you wish to develop for the iOS on the other hand, knowledge of Objective C is required. The most compelling reason to learn Objective C is the market that it will open you up to. According to the website AndroidAuthority.com, in the article "Google play vs. Apple app store", users of iPhones and other iOS devices are much more likely to spend money on apps rather than downloading free ones.
Though learning Objective C might be a far jump from someone who currently writes in C#, it's certainly learn-able with a little bit of practice.
What are a few unique pieces of career advice that nobody ever mentions?
Good non-programmer jobs for people with software developer experience
Cloud computing is the recent rage in the IT industry. According to the report by Forbes, the estimated global market for cloud computing is expected to reach $35.6 billion in 2015, from the $12.1 billion market of 2010.
How it began
The idea of cloud computing was inspired by the concept of “utility computing” which introduced the idea of computing using the virtual servers. These virtual servers do not actually exist anywhere physically and can be moved anywhere without causing any disturbance to the end users. Thus it minimizes the cost involved on the devices to a great extent and provides innumerable benefits to the companies that adopt this system.
Cloud Computing Types
The interpreted programming language Python has surged in popularity in recent years. Long beloved by system administrators and others who had good use for the way it made routine tasks easy to automate, it has gained traction in other sectors as well. In particular, it has become one of the most-used tools in the discipline of numerical computing and analysis. Being put to use for such heavy lifting has endowed the language with a great selection of powerful libraries and other tools that make it even more flexible. One upshot of this development has been that sophisticated business analysts have also come to see the language as a valuable tool for those own data analysis needs.
Greatly appreciated for its simplicity and elegance of syntax, Python makes an excellent first programming language for previously non-technical people. Many business analysts, in fact, have had success growing their skill sets in this way thanks to the language's tractability. Long beloved by specialized data scientists, the iPython interactive computing environment has also attracted great attention within the business analyst’s community. Its instant feedback and visualization options have made it easy for many analysts to become skilled Python programmers while doing valuable work along the way.
Using iPython and appropriate notebooks for it, for example, business analysts can easily make interactive use of such tools as cohort analysis and pivot tables. iPython makes it easy to benefit from real-time, interactive researches which produce immediately visible results, including charts and graphs suitable for use in other contexts. Through becoming familiar with this powerful interactive application, business analysts are also exposing themselves in a natural and productive way to the Python programming language itself.
Gaining proficiency with this language opens up further possibilities. While interactive analytic techniques are of great use to many business analysts, being able to create fully functioning, independent programs is of similar value. Becoming comfortable with Python allows analysts to tackle and plumb even larger data sets than would be possible through an interactive approach, as results can be allowed to accumulate over hours and days of processing time.
This ability can sometime allow business analysts to address the so-called "Big Data" questions that can otherwise seem the sole province of specialized data scientists. More important than this higher level of independence, perhaps, is the fact that this increased facility with data analysis and handling allows analysts to communicate more effectively with such stakeholders. Through learning a programming language which allows them to begin making independent inroads into such areas, business analysts gain a better perspective on these specialized domains, and this allows them to function as even more effective intermediaries.
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Tech Life in Minnesota
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
The Affluent Traveler | Saint Paul | Travel, Recreation and Leisure | Travel, Recreation, and Leisure Other |
Xcel Energy Inc. | Minneapolis | Energy and Utilities | Gas and Electric Utilities |
Thrivent Financial for Lutherans | Minneapolis | Financial Services | Personal Financial Planning and Private Banking |
CHS Inc. | Inver Grove Heights | Agriculture and Mining | Agriculture and Mining Other |
Hormel Foods Corporation | Austin | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
St. Jude Medical, Inc. | Saint Paul | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
The Mosaic Company | Minneapolis | Agriculture and Mining | Mining and Quarrying |
Ecolab Inc. | Saint Paul | Manufacturing | Chemicals and Petrochemicals |
Donaldson Company, Inc. | Minneapolis | Manufacturing | Tools, Hardware and Light Machinery |
Michael Foods, Inc. | Minnetonka | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Regis Corporation | Minneapolis | Retail | Retail Other |
Fastenal Company | Winona | Wholesale and Distribution | Wholesale and Distribution Other |
Securian Financial | Saint Paul | Financial Services | Insurance and Risk Management |
UnitedHealth Group | Minnetonka | Financial Services | Insurance and Risk Management |
The Travelers Companies, Inc. | Saint Paul | Financial Services | Insurance and Risk Management |
Imation Corp. | Saint Paul | Computers and Electronics | Networking Equipment and Systems |
C.H. Robinson Worldwide, Inc. | Eden Prairie | Transportation and Storage | Warehousing and Storage |
Ameriprise Financial, Inc. | Minneapolis | Financial Services | Securities Agents and Brokers |
Best Buy Co. Inc. | Minneapolis | Retail | Retail Other |
Nash Finch Company | Minneapolis | Wholesale and Distribution | Grocery and Food Wholesalers |
Medtronic, Inc. | Minneapolis | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
LAND O'LAKES, INC. | Saint Paul | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
General Mills, Inc. | Minneapolis | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Pentair, Inc. | Minneapolis | Manufacturing | Manufacturing Other |
Supervalu Inc. | Eden Prairie | Retail | Grocery and Specialty Food Stores |
U.S. Bancorp | Minneapolis | Financial Services | Banks |
Target Corporation, Inc. | Minneapolis | Retail | Department Stores |
3M Company | Saint Paul | Manufacturing | Chemicals and Petrochemicals |
training details locations, tags and why hsg
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.
- We have provided software development and other IT related training to many major corporations in Minnesota since 2002.
- 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…