Machine Learning Training Classes in Mount Vernon, New York
Learn Machine Learning in Mount Vernon, NewYork 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 Mount Vernon, New York: Machine Learning Training
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17 November, 2025 - 21 November, 2025 - Fast Track to Java 17 and OO Development
8 December, 2025 - 12 December, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II
8 December, 2025 - 11 December, 2025 - Python for Scientists
8 December, 2025 - 12 December, 2025 - ASP.NET Core MVC (VS2022)
24 November, 2025 - 25 November, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
There are normally two sides to the story when it comes to employment. On one hand, employers hold the view that the right candidate is a hard find; while on the other, job hunters think that it’s a tasking affair to land a decent job out there.
Regardless of which side of the divide you lay, landing good work or workers is a tedious endeavor. For those looking to hire, a single job opening could attract hundreds or thousands of applicants. Sifting through the lot in hope of finding the right fit is no doubt time consuming. Conversely, a job seeker may hold the opinion that he or she is submitting resumes into the big black hole of the Internet, never really anticipating a response, but nevertheless sending them out rather than sit back doing nothing.
A recruitment agency normally keeps an internal database of applicants and resumes for current and future opportunities. They first do a database search to try and identify qualified and screened candidates from their existing crop of talent. Most often the case, they’ll also post open positions online through industry websites and job boards so as to net other possible applicants.
When it comes to IT staffing needs, HR managers even find a more challenging process in their hands. This is because the IT department is one of the most sensitive in any given organization where a single slip-up could be disastrous for the company (think data security, think finances when the IT guys are working in tandem with accounts). You get the picture, right?
One of the most recent additions to the iPhone is the Photo Editor, directly in the iPhone. Added in the update that came from Apple over the summer, this new photo editor brings efficiency, and simplicity to photo editing, right in your phone. If you have a photo that you just took a moment ago of you with your friends, and you want to edit some features before posting it on a social networking site, it becomes simpler with this new addition, right in the Photos Application.
Open up the Photos application, and tap on a picture you would like to edit. Once your picture comes up, tap in the top right on the button named “Edit.” A user interface that deals with editing will show up, and you are ready to rock and roll. First off, many times we take pictures at weird angles, we take them sideways, upside down, to the right, to the left, and our phone doesn’t recognize them. In the bottom left, you will see an arrow that is pointing counter clockwise; this is the button that you want to press if you want to flip your picture around to the correct orientation. Keep in mind that this flips counter clockwise, and it doesn’t matter if you pass the orientation that you wanted. Just keep flipping!
Next up is the simple enhance tool. Sometimes colors get drowned out if we don’t have the right lighting in our pictures, and makes the photo look dull, and dreary. You don’t want your colors to look dull and dreary while you are celebrating your trip to New York and seeing Times Square! Tapping on the button that looks similar to a magic wand, your picture will begin to look brighter and fuller. With the tap of a button, the iPhone detects what points in the picture is, as we said earlier, “dull, and dreary” and enhances those colors to their predicted colors, if the light was in the correct intensity. However, if you are dissatisfied with the outcome of the enhance tool, if your picture is not handled well by the phone, you are able to tap on the wand again, and remove your auto enhance.
In the rare case of red eye in your picture, the new photo editor has a solution. Moreover, a one-tap solution. With a simple tap on the red eye correction tool, between the crop tool, and the auto-enhance tool, you bring up a screen where you are now able to tap anywhere on your photo where red eye exists, and remove it. As simple as that. Remember when you had to do crazy dragging, selection, and odd stunts to remove red eye? Not any more.
.NET is a highly popular programming language from Microsoft that continues to rock the IT industry since its inception almost twelve years ago. Simply stated, it is a development framework comprising of multiple modules that helps in creating Web Applications, Windows Applications as well as Mobile Applications. The demand for .NET programmers saw a definite surge in the last decade - thanks to the evolution of the smart phones.
Listed below are some of the recent and prevalent aspects of .Net
ASP .NET - Web API
Microsoft considers Web AP I as the future of ASP .NET. The world of web is heading towards a simpler, lightweight, REST based services. Web API makes it possible with the ASP.NET MVC without the heavy lifting that WCF requires. jQuery could be utilized for displaying results in front end of the page as shown in the example in Microsoft site.
Big data is now in an incredibly important part of how many major businesses function. Data analysis, or the finding of facts from large volumes of data, helps businesses make many of their important decisions. Companies that conduct business on a national or international scale rely on big data in order to plot the general direction of their business. The concept of big data can be very confusing due to the sheer scale of information involved. By following a few simple guidelines, even the layman can understand big data and its impacts on everyday life.
What Exactly is Big Data?
Just about everyone can understand the concept of data. Data is information, and information is everywhere in the modern world. Anytime you use any piece of technology you are making use of data. Anytime you read a book, skim the newspaper or listen to music you are also making use of data. Your brain interprets and organizes data constantly from your senses and your thoughts.
Big data, much like its name infers, simply describes this same data on a large sale. The internet allowed the streaming, sharing and collecting of data on a scale never before imaginable and storage technology has allowed ever increasing hoards of data to be accumulated. In order for something to be considered “big data” it must be at least 10 terabytes or more of information. To put that in perspective, consider that 10 terabytes represents the entire printed collection of material in the Library of Congress. What’s even more remarkable is that many businesses work with far more than the minimum 10 terabytes of data. UPS stores over 16 petabytes of data about its packages and customers. That’s 16,000 terabytes or the equivalent to 1,600 printed libraries of congress. The sheer amount of that data is nearly impossible for a human to comprehend, and analysis of this data is only possible with computers.
How do Big Data Companies Emerge?
All of this information comes from everywhere on the internet. The majority of the useful data includes customer information, search engine logs, and entries on social media networks to name a few. This data is constantly generated by the internet at insane rates. Specified computers and software programs are created and operated by big data companies that collect and sort this information. These programs and hardware are so sophisticated and so specialized that entire companies can be dedicated to analyzing this data and then selling it to other companies. The raw data is distilled down into manageable reports that company executives can make use of when handling business decisions.
The Top Five:
These are the five biggest companies, according to Forbes, in the business of selling either raw data reports or analytics programs that help companies to compile their own reports.
1. Splunk
Splunk is currently valued at $186 million. It is essentially a program service that allows companies to turn their own raw data collections into usable information.
2. Opera Solutions
Opera Solutions is valued at $118 million. It serves as a data science service that helps other companies to manage the raw data that pertains to them. They can offer either direct consultation or cloud-based service.
3. Mu Sigma
Mu Sigma is valued at $114 million. It is a slightly smaller version of Opera Solutions, offering essentially the same types of services.
4. Palantir
Palantir is valued at $78 million. It offers data analysis software to companies so they can manage their own raw data analysis.
5. Cloudera
Cloudera is valued at $61 million. It offers services, software and training specifically related to the Apahce Hadoop-based programs.
The software and services provided by these companies impact nearly all major businesses, industries and products. They impact what business offer, where they offer them and how they advertise them to consumers. Every advertisement, new store opening or creation of a new product is at least somewhat related to big data analysis. It is the directional force of modern business.
Sources:
http://www.sas.com/en_us/insights/big-data/what-is-big-data.html
http://www.forbes.com/sites/gilpress/2013/02/22/top-ten-big-data-pure-plays/
http://www.whatsabyte.com/
Related:
Top Innovative Open Source Projects Making Waves in The Technology World
Is the U.S. the Leading Software Development Country?
How to Keep On Top Of the Latest Trends in Information Technology
Tech Life in New York
| Company Name | City | Industry | Secondary Industry |
|---|---|---|---|
| NYSE Euronext, Inc. | New York | Financial Services | Securities Agents and Brokers |
| Anderson Instrument Company Inc. | Fultonville | Manufacturing | Tools, Hardware and Light Machinery |
| News Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
| Philip Morris International Inc | New York | Manufacturing | Manufacturing Other |
| Loews Corporation | New York | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
| The Guardian Life Insurance Company of America | New York | Financial Services | Insurance and Risk Management |
| Jarden Corporation | Rye | Manufacturing | Manufacturing Other |
| Ralph Lauren Corporation | New York | Retail | Clothing and Shoes Stores |
| Icahn Enterprises, LP | New York | Financial Services | Investment Banking and Venture Capital |
| Viacom Inc. | New York | Media and Entertainment | Media and Entertainment Other |
| Omnicom Group Inc. | New York | Business Services | Advertising, Marketing and PR |
| Henry Schein, Inc. | Melville | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
| Pfizer Incorporated | New York | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
| Eastman Kodak Company | Rochester | Computers and Electronics | Audio, Video and Photography |
| Assurant Inc. | New York | Business Services | Data and Records Management |
| PepsiCo, Inc. | Purchase | Manufacturing | Nonalcoholic Beverages |
| Foot Locker, Inc. | New York | Retail | Department Stores |
| Barnes and Noble, Inc. | New York | Retail | Sporting Goods, Hobby, Book, and Music Stores |
| Alcoa | New York | Manufacturing | Metals Manufacturing |
| The Estee Lauder Companies Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
| Avon Products, Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
| The Bank of New York Mellon Corporation | New York | Financial Services | Banks |
| Marsh and McLennan Companies | New York | Financial Services | Insurance and Risk Management |
| Corning Incorporated | Corning | Manufacturing | Concrete, Glass, and Building Materials |
| CBS Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
| Bristol Myers Squibb Company | New York | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
| Citigroup Incorporated | New York | Financial Services | Banks |
| Goldman Sachs | New York | Financial Services | Personal Financial Planning and Private Banking |
| American International Group (AIG) | New York | Financial Services | Insurance and Risk Management |
| Interpublic Group of Companies, Inc. | New York | Business Services | Advertising, Marketing and PR |
| BlackRock, Inc. | New York | Financial Services | Securities Agents and Brokers |
| MetLife Inc. | New York | Financial Services | Insurance and Risk Management |
| Consolidated Edison Company Of New York, Inc. | New York | Energy and Utilities | Gas and Electric Utilities |
| Time Warner Cable | New York | Telecommunications | Cable Television Providers |
| Morgan Stanley | New York | Financial Services | Investment Banking and Venture Capital |
| American Express Company | New York | Financial Services | Credit Cards and Related Services |
| International Business Machines Corporation | Armonk | Computers and Electronics | Computers, Parts and Repair |
| TIAA-CREF | New York | Financial Services | Securities Agents and Brokers |
| JPMorgan Chase and Co. | New York | Financial Services | Investment Banking and Venture Capital |
| The McGraw-Hill Companies, Inc. | New York | Media and Entertainment | Newspapers, Books and Periodicals |
| L-3 Communications Inc. | New York | Manufacturing | Aerospace and Defense |
| Colgate-Palmolive Company | New York | Consumer Services | Personal Care |
| New York Life Insurance Company | New York | Financial Services | Insurance and Risk Management |
| Time Warner Inc. | New York | Media and Entertainment | Media and Entertainment Other |
| Cablevision Systems Corp. | Bethpage | Media and Entertainment | Radio and Television Broadcasting |
| CA Technologies, Inc. | Islandia | Software and Internet | Software |
| Verizon Communications Inc. | New York | Telecommunications | Telephone Service Providers and Carriers |
| Hess Corporation | New York | Energy and Utilities | Gasoline and Oil Refineries |
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 New York 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…














