Machine Learning Training Classes in Mc Kinney, Texas

Learn Machine Learning in Mc Kinney, Texas 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 Mc Kinney, Texas: Machine Learning Training

We offer private customized training for groups of 3 or more attendees.

Machine Learning Training Catalog

cost: $ 2090length: 2.5 day(s)
cost: $ 2090length: 3 day(s)
cost: $ 3170length: 6 day(s)
cost: $ 1800length: 2 day(s)

Azure Classes

Business Analysis Classes

cost: $ 1200length: 3 day(s)

Python Programming Classes

cost: $ 1190length: 3 day(s)
cost: $ 1790length: 3 day(s)

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

The World Wide Web is a fun place to connect with old friends, make new ones, and stay involved in social media. It can also be a dangerous place for those who don’t know how to be safe on the web. Children, teenagers, and young adults with Asperger’s syndrome are especially vulnerable to fraud, sexual predators, and other online dangers.

What is Asperger’s Syndrome?

Asperger’s syndrome is a pervasive developmental disorder on the autistic spectrum. Children, teenagers, and adults with this developmental disorder are not sick. They’re brains are wired differently from people who are not on the spectrum. In the autistic community, people who are not on the spectrum are referred to as neurotypical.

The reason Internet dangers are so much more of a risk for people with Asperger’s syndrome is because of the symptoms associated with it. The best way to describe Asperger’s to someone who is not familiar with it is to call it a social learning disability. The parts of the brain responsible for reading facial expressions, body language, and other social cues do not function properly.

Python and Ruby, each with roots going back into the 1990s, are two of the most popular interpreted programming languages today. Ruby is most widely known as the language in which the ubiquitous Ruby on Rails web application framework is written, but it also has legions of fans that use it for things that have nothing to do with the web. Python is a big hit in the numerical and scientific computing communities at the present time, rapidly displacing such longtime stalwarts as R when it comes to these applications. It too, however, is also put to a myriad of other uses, and the two languages probably vie for the title when it comes to how flexible their users find them.

A Matter of Personality...


That isn't to say that there aren't some major, immediately noticeable, differences between the two programming tongues. Ruby is famous for its flexibility and eagerness to please; it is seen by many as a cleaned-up continuation of Perl's "Do What I Mean" philosophy, whereby the interpreter does its best to figure out the meaning of evening non-canonical syntactic constructs. In fact, the language's creator, Yukihiro Matsumoto, chose his brainchild's name in homage to that earlier language's gemstone-inspired moniker.

Python, on the other hand, takes a very different tact. In a famous Python Enhancement Proposal called "The Zen of Python," longtime Pythonista Tim Peters declared it to be preferable that there should only be a single obvious way to do anything. Python enthusiasts and programmers, then, generally prize unanimity of style over syntactic flexibility compared to those who choose Ruby, and this shows in the code they create. Even Python's whitespace-sensitive parsing has a feel of lending clarity through syntactical enforcement that is very much at odds with the much fuzzier style of typical Ruby code.

For example, Python's much-admired list comprehension feature serves as the most obvious way to build up certain kinds of lists according to initial conditions:

a = [x**3 for x in range(10,20)]
b = [y for y in a if y % 2 == 0]

first builds up a list of the cubes of all of the numbers between 10 and 19 (yes, 19), assigning the result to 'a'. A second list of those elements in 'a' which are even is then stored in 'b'. One natural way to do this in Ruby is probably:

a = (10..19).map {|x| x ** 3}
b = a.select {|y| y.even?}

but there are a number of obvious alternatives, such as:

a = (10..19).collect do |x|
x ** 3
end

b = a.find_all do |y|
y % 2 == 0
end

It tends to be a little easier to come up with equally viable, but syntactically distinct, solutions in Ruby compared to Python, even for relatively simple tasks like the above. That is not to say that Ruby is a messy language, either; it is merely that it is somewhat freer and more forgiving than Python is, and many consider Python's relative purity in this regard a real advantage when it comes to writing clear, easily understandable code.

And Somewhat One of Performance

The Zen of Python, by Tim Peters has been adopted by many as a model summary manual of python's philosophy.  Though these statements should be considered more as guideline and not mandatory rules, developers worldwide find the poem to be on a solid guiding ground.


Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

Another blanket article about the pros and cons of Direct to Consumer (D2C) isn’t needed, I know. By now, we all know the rules for how this model enters a market: its disruption fights any given sector’s established sales model, a fuzzy compromise is temporarily met, and the lean innovator always wins out in the end.

That’s exactly how it played out in the music industry when Apple and record companies created a digital storefront in iTunes to usher music sales into the online era. What now appears to have been a stopgap compromise, iTunes was the standard model for 5-6 years until consumers realized there was no point in purchasing and owning digital media when internet speeds increased and they could listen to it for free through a music streaming service.  In 2013, streaming models are the new music consumption standard. Netflix is nearly parallel in the film and TV world, though they’ve done a better job keeping it all under one roof. Apple mastered retail sales so well that the majority of Apple products, when bought in-person, are bought at an Apple store. That’s even more impressive when you consider how few Apple stores there are in the U.S. (253) compared to big box electronics stores that sell Apple products like Best Buy (1,100) Yet while some industries have implemented a D2C approach to great success, others haven’t even dipped a toe in the D2C pool, most notably the auto industry.

What got me thinking about this topic is the recent flurry of attention Tesla Motors has received for its D2C model. It all came to a head at the beginning of July when a petition on whitehouse.gov to allow Tesla to sell directly to consumers in all 50 states reached the 100,000 signatures required for administration comment. As you might imagine, many powerful car dealership owners armed with lobbyists have made a big stink about Elon Musk, Tesla’s CEO and Product Architect, choosing to sidestep the traditional supply chain and instead opting to sell directly to their customers through their website. These dealership owners say that they’re against the idea because they want to protect consumers, but the real motive is that they want to defend their right to exist (and who wouldn’t?). They essentially have a monopoly at their position in the sales process, and they want to keep it that way. More frightening for the dealerships is the possibility that once Tesla starts selling directly to consumers, so will the big three automakers, and they fear that would be the end of the road for their business. Interestingly enough, the big three flirted with the idea of D2C in the early 90’s before they were met with fierce backlash from dealerships. I’m sure the dealership community has no interest in mounting a fight like that again. 

To say that the laws preventing Tesla from selling online are peripherally relevant would be a compliment. By and large, the laws the dealerships point to fall under the umbrella of “Franchise Laws” that were put in place at the dawn of car sales to protect franchisees against manufacturers opening their own stores and undercutting the franchise that had invested so much to sell the manufacturer’s cars.  There’s certainly a need for those laws to exist, because no owner of a dealership selling Jeeps wants Chrysler to open their own dealership next door and sell them for substantially less. However, because Tesla is independently owned and isn’t currently selling their cars through any third party dealership, this law doesn’t really apply to them. Until their cars are sold through independent dealerships, they’re incapable of undercutting anyone by implementing D2C structure.

Tech Life in Texas

Austin may be considered the live music capital of the world but the field of technology is becoming the new norm in the The Lone Star State. Home to Dell and Compaq computers, there is a reason why central Texas is often referred to as the Silicon Valley of the south. It?s rated third on the charts of the top computer places in the United States with a social learning and training IT atmosphere. Adding the fact that Austin offers fairly inexpensive living costs for students, software developers may take note as they look to relocate.
It is important to do what you don't know how to do. It is important to see your skills as keeping you from learning what is deepest and most mysterious. If you know how to focus, unfocus. If your tendency is to make sense out of chaos, start chaos. Carlos Castaneda
other Learning Options
Software developers near Mc Kinney 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 Texas that offer opportunities for Machine Learning developers
Company Name City Industry Secondary Industry
Dr Pepper Snapple Group Plano Manufacturing Nonalcoholic Beverages
Western Refining, Inc. El Paso Energy and Utilities Gasoline and Oil Refineries
Frontier Oil Corporation Dallas Manufacturing Chemicals and Petrochemicals
ConocoPhillips Houston Energy and Utilities Gasoline and Oil Refineries
Dell Inc Round Rock Computers and Electronics Computers, Parts and Repair
Enbridge Energy Partners, L.P. Houston Transportation and Storage Transportation & Storage Other
GameStop Corp. Grapevine Retail Retail Other
Fluor Corporation Irving Business Services Management Consulting
Kimberly-Clark Corporation Irving Manufacturing Paper and Paper Products
Exxon Mobil Corporation Irving Energy and Utilities Gasoline and Oil Refineries
Plains All American Pipeline, L.P. Houston Energy and Utilities Gasoline and Oil Refineries
Cameron International Corporation Houston Energy and Utilities Energy and Utilities Other
Celanese Corporation Irving Manufacturing Chemicals and Petrochemicals
HollyFrontier Corporation Dallas Energy and Utilities Gasoline and Oil Refineries
Kinder Morgan, Inc. Houston Energy and Utilities Gas and Electric Utilities
Marathon Oil Corporation Houston Energy and Utilities Gasoline and Oil Refineries
United Services Automobile Association San Antonio Financial Services Personal Financial Planning and Private Banking
J. C. Penney Company, Inc. Plano Retail Department Stores
Energy Transfer Partners, L.P. Dallas Energy and Utilities Energy and Utilities Other
Atmos Energy Corporation Dallas Energy and Utilities Alternative Energy Sources
National Oilwell Varco Inc. Houston Manufacturing Manufacturing Other
Tesoro Corporation San Antonio Manufacturing Chemicals and Petrochemicals
Halliburton Company Houston Energy and Utilities Energy and Utilities Other
Flowserve Corporation Irving Manufacturing Tools, Hardware and Light Machinery
Commercial Metals Company Irving Manufacturing Metals Manufacturing
EOG Resources, Inc. Houston Energy and Utilities Gasoline and Oil Refineries
Whole Foods Market, Inc. Austin Retail Grocery and Specialty Food Stores
Waste Management, Inc. Houston Energy and Utilities Waste Management and Recycling
CenterPoint Energy, Inc. Houston Energy and Utilities Gas and Electric Utilities
Valero Energy Corporation San Antonio Manufacturing Chemicals and Petrochemicals
FMC Technologies, Inc. Houston Energy and Utilities Alternative Energy Sources
Calpine Corporation Houston Energy and Utilities Gas and Electric Utilities
Texas Instruments Incorporated Dallas Computers and Electronics Semiconductor and Microchip Manufacturing
SYSCO Corporation Houston Wholesale and Distribution Grocery and Food Wholesalers
BNSF Railway Company Fort Worth Transportation and Storage Freight Hauling (Rail and Truck)
Affiliated Computer Services, Incorporated (ACS), a Xerox Company Dallas Software and Internet E-commerce and Internet Businesses
Tenet Healthcare Corporation Dallas Healthcare, Pharmaceuticals and Biotech Hospitals
XTO Energy Inc. Fort Worth Energy and Utilities Gasoline and Oil Refineries
Group 1 Automotive Houston Retail Automobile Dealers
ATandT Dallas Telecommunications Telephone Service Providers and Carriers
Anadarko Petroleum Corporation Spring Energy and Utilities Gasoline and Oil Refineries
Apache Corporation Houston Energy and Utilities Gasoline and Oil Refineries
Dean Foods Company Dallas Manufacturing Food and Dairy Product Manufacturing and Packaging
American Airlines Fort Worth Travel, Recreation and Leisure Passenger Airlines
Baker Hughes Incorporated Houston Energy and Utilities Gasoline and Oil Refineries
Continental Airlines, Inc. Houston Travel, Recreation and Leisure Passenger Airlines
RadioShack Corporation Fort Worth Computers and Electronics Consumer Electronics, Parts and Repair
KBR, Inc. Houston Government International Bodies and Organizations
Spectra Energy Partners, L.P. Houston Energy and Utilities Gas and Electric Utilities
Energy Future Holdings Dallas Energy and Utilities Energy and Utilities Other
Southwest Airlines Corporation Dallas Transportation and Storage Air Couriers and Cargo Services

training details locations, tags and why hsg

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 Texas 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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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.