Machine Learning Training Classes in Hartford, Connecticut
Learn Machine Learning in Hartford, Connecticut 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 Hartford, Connecticut: Machine Learning Training
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9 December, 2024 - 13 December, 2024 - Introduction to Spring 5 (2022)
16 December, 2024 - 18 December, 2024 - VMware vSphere 8.0 Boot Camp
9 December, 2024 - 13 December, 2024 - Fast Track to Java 17 and OO Development
9 December, 2024 - 13 December, 2024 - Introduction to C++ for Absolute Beginners
16 December, 2024 - 17 December, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Sometimes we have to repeat ourselves before we are heard. Then again there are times where we have to perform a certain action the same way several times before we can carry on with what we want to do.
Repetition is the keyword here and for humans that is something we generally try to avoid. Yet our digital friends love repetition. They never get tired and they never get bored of doing the same thing over and over again countless times.
So it’s little wonder then that all modern programming languages give us various ways in which we can perform a certain action as many times as we need.
In python we have the for statement which gives us the power to loop over large collections of data very quickly and efficiently.
Memory management is always a priority in pretty much any programming language you would want to use. In the lower level languages such as C, there are a number of functions which help you manage the memory your application uses, but they are not the easiest to use. Some of the more modern programming languages such as Python, Ruby, Perl, and of course the subject of this article, Javascript all have a built in feature called garbage collection.
Garbage collection essentially means that the languages compiler will automatically free the memory being occupied by unused variables and objects, but there is no telling when this could occur. It is purely down to the compiler to decide when the garbage collection process should be initiated.
In Python, the following list is considered False:
False, None, 0, 0.0, "",'',(),{},[]
It is said that spoken languages shape thoughts by their inclusion and exclusion of concepts, and by structuring them in different ways. Similarly, programming languages shape solutions by making some tasks easier and others less aesthetic. Using F# instead of C# reshapes software projects in ways that prefer certain development styles and outcomes, changing what is possible and how it is achieved.
F# is a functional language from Microsoft's research division. While once relegated to the land of impractical academia, the principles espoused by functional programming are beginning to garner mainstream appeal.
As its name implies, functions are first-class citizens in functional programming. Blocks of code can be stored in variables, passed to other functions, and infinitely composed into higher-order functions, encouraging cleaner abstractions and easier testing. While it has long been possible to store and pass code, F#'s clean syntax for higher-order functions encourages them as a solution to any problem seeking an abstraction.
F# also encourages immutability. Instead of maintaining state in variables, functional programming with F# models programs as a series of functions converting inputs to outputs. While this introduces complications for those used to imperative styles, the benefits of immutability mesh well with many current developments best practices.
For instance, if functions are pure, handling only immutable data and exhibiting no side effects, then testing is vastly simplified. It is very easy to test that a specific block of code always returns the same value given the same inputs, and by modeling code as a series of immutable functions, it becomes possible to gain a deep and highly precise set of guarantees that software will behave exactly as written.
Further, if execution flow is exclusively a matter of routing function inputs to outputs, then concurrency is vastly simplified. By shifting away from mutable state to immutable functions, the need for locks and semaphores is vastly reduced if not entirely eliminated, and multi-processor development is almost effortless in many cases.
Type inference is another powerful feature of many functional languages. It is often unnecessary to specify argument and return types, since any modern compiler can infer them automatically. F# brings this feature to most areas of the language, making F# feel less like a statically-typed language and more like Ruby or Python. F# also eliminates noise like braces, explicit returns, and other bits of ceremony that make languages feel cumbersome.
Functional programming with F# makes it possible to write concise, easily testable code that is simpler to parallelize and reason about. However, strict functional styles often require imperative developers to learn new ways of thinking that are not as intuitive. Fortunately, F# makes it possible to incrementally change habits over time. Thanks to its hybrid object-oriented and functional nature, and its clean interoperability with the .net platform, F# developers can gradually shift to a more functional mindset while still using the algorithms and libraries with which they are most familiar.
Related F# Resources:
Tech Life in Connecticut
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Stanley Black and Decker, Inc. | New Britain | Manufacturing | Tools, Hardware and Light Machinery |
EMCOR Group, Inc. | Norwalk | Energy and Utilities | Energy and Utilities Other |
The Hartford Financial Services Group Inc. | Hartford | Financial Services | Insurance and Risk Management |
Crane Co. | Stamford | Manufacturing | Tools, Hardware and Light Machinery |
Cenveo. Inc. | Stamford | Business Services | Business Services Other |
Amphenol Corporation | Wallingford | Computers and Electronics | Semiconductor and Microchip Manufacturing |
W. R. Berkley Corporation | Greenwich | Financial Services | Insurance and Risk Management |
Silgan Holdings Inc. | Stamford | Manufacturing | Manufacturing Other |
Hubbell Incorporated | Shelton | Manufacturing | Concrete, Glass, and Building Materials |
IMS Health Incorporated | Danbury | Business Services | Management Consulting |
CIGNA Corporation | Hartford | Financial Services | Insurance and Risk Management |
Chemtura Corp. | Middlebury | Manufacturing | Chemicals and Petrochemicals |
Harman International Industries, Inc | Stamford | Computers and Electronics | Audio, Video and Photography |
United Rentals, Inc. | Greenwich | Real Estate and Construction | Construction Equipment and Supplies |
The Phoenix Companies, Inc. | Hartford | Financial Services | Investment Banking and Venture Capital |
Magellan Health Services, Inc. | Avon | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Terex Corporation | Westport | Manufacturing | Heavy Machinery |
Praxair, Inc. | Danbury | Manufacturing | Chemicals and Petrochemicals |
Knights of Columbus | New Haven | Non-Profit | Social and Membership Organizations |
Xerox Corporation | Norwalk | Computers and Electronics | Office Machinery and Equipment |
Starwood Hotels and Resorts Worldwide, Inc. | Stamford | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
United Technologies Corporation | Hartford | Manufacturing | Aerospace and Defense |
General Electric Company | Fairfield | Computers and Electronics | Consumer Electronics, Parts and Repair |
Pitney Bowes, Inc. | Stamford | Manufacturing | Tools, Hardware and Light Machinery |
Charter Communications, Inc. | Stamford | Telecommunications | Cable Television Providers |
Aetna Inc. | Hartford | Financial Services | Insurance and Risk Management |
Priceline.com | Norwalk | Travel, Recreation and Leisure | Travel, Recreation, and Leisure Other |
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 Connecticut 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…