JUnit, TDD, CPTC, Web Penetration Training Classes in Fort Lauderdale, Florida
Learn JUnit, TDD, CPTC, Web Penetration in Fort Lauderdale, Florida 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 JUnit, TDD, CPTC, Web Penetration related training offerings in Fort Lauderdale, Florida: JUnit, TDD, CPTC, Web Penetration Training
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12 August, 2024 - 16 August, 2024 - Introduction to C++ for Absolute Beginners
20 May, 2024 - 21 May, 2024 - RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION
1 April, 2024 - 4 April, 2024 - VMware vSphere 8.0 with ESXi and vCenter
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Blog Entries publications that: entertain, make you think, offer insight
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
The mainstay of a corporation is the data that it possesses. By data, I mean its customer base, information about the use of its products, employee roles and responsibilities, the development and maintenance of its product lines, demographics of supporters and naysayers, financial records, projected sales ... It is in the organization of this data that advancements to the bottom line are often realized i.e. the nuggets of gold are found. Defining what is important, properly cataloging the information, developing a comprehensive protocol to access and update this information and discerning how this data fits into the corporate venacular is basis of this data organization and may be the difference between moving ahead of the competition or being the one to fall behind.
Whenever we attempt to develop an Enterprise Rule Application, we must begin by harvesting the data upon which those rules are built. This is by no means an easy feat as it requires a thorough understanding of the business, industry, the players and their respective roles and the intent of the application. Depending upon the scope of this undertaking, it is almost always safe to say that no one individual is completely knowledgeable to all facets needed to comprise the entire application.
The intial stage of this endeavor is, obviously, to decide upon the intent of the application. This requires knowledge of what is essential, what is an add-on and which of all these requirements/options can be successfully implemented in the allotted period of time. The importance of this stage cannot be stressed enough; if the vision/goal cannot be articulated in a manner that all can understand, the knowledge tap will be opened to become the money drain. Different departments may compete for the same financial resources; management may be jockeying for their day in the sun; consulting corporations, eager to win the bid, may exaggerate their level of competency. These types of endeavors require those special skills of an individual or a team of very competent members to be/have a software architect, subject matter expert and business analyst.
Once the decision has been made and the application development stages have been defined, the next step is to determine which software development tools to employ. For the sake of this article, we will assume that the team has chosen an object oriented language such as Java and a variety of J EE components, a relationsional database and a vendor specific BRMS such as Blaze Advisor. Now, onto the point of this article.
Many individuals are looking to break into a video game designing career, and it's no surprise. A $9 billion industry, the video game designing business has appeal to gamers and non-gamers alike. High salaries and high rates of job satisfaction are typical in the field.
In order to design video games, however, you need a certain skill set. Computer programming is first on the list. While games are made using almost all languages, the most popular programming language for video games is C++, because of its object-oriented nature and because it compiles to binary. The next most popular languages for games are C and Java, but others such as C# and assembly language are also used. A strong background in math is usually required to learn these languages. Individuals wishing to design games should also have an extensive knowledge of both PCs and Macs.
There are many colleges and universities that offer classes not only in programming but also classes specifically on game design. Some of these schools have alliances with game developing companies, leading to jobs for students upon graduation. Programming video games can be lucrative. The average game designer's salary is $62,500, with $55,000 at the low end and $85,000 at the high end.
Programmers are not the only individuals needed to make a video game, however. There are multiple career paths within the gaming industry, including specialists in audio, design, production, visual arts and business.
Designing a video game can be an long, expensive process. The average budget for a modern multiplatform video game is $18-$28 million, with some high-profile games costing as much as $40 million. Making the game, from conception to sale, can take several months to several years. Some games have taken a notoriously long time to make; for example, 3D Realms' Duke Nukem Forever was announced in April 1997 and did not make it to shelves until July 2011.
Video game programmers have a high level of job satisfaction. In a March 2013 survey conducted by Game Developer magazine, 29 percent of game programmers were very satisfied with their jobs, and 39 percent were somewhat satisfied.
If you're interested in a game development career, now's the time to get moving. Take advantage of the many online resources available regarding these careers and start learning right away.
I’ll get straight to the point. Why should companies invest more in management training? Here are 10 simple reasons.
1) An employee’s relationship with his or her direct manager is the most important single factor in employee engagement.
2) Engaged employees are happier and more productive. Disengaged employees are frustrated and more disruptive.
3) Because there’s no widely agreed-on skillset for management (good managers come in all shapes and sizes), there’s an assumption everyone knows how to do it. This is akin to someone who’s never driven before being given keys to a car and told: “Drive.” (Many many years ago, this is how I first learned to manage. I blundered my way through it. Trial and error. It wasn’t pretty.)
Tech Life in Florida
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Lender Processing Services, Inc. (LPS) | Jacksonville | Software and Internet | Data Analytics, Management and Storage |
World Fuel Services Corporation | Miami | Energy and Utilities | Gasoline and Oil Refineries |
SEACOR Holdings Inc. | Fort Lauderdale | Transportation and Storage | Marine and Inland Shipping |
MasTec, Inc. | Miami | Business Services | Security Services |
Health Management Associates, Inc. | Naples | Healthcare, Pharmaceuticals and Biotech | Hospitals |
B/E Aerospace, Inc. | Wellington | Manufacturing | Aerospace and Defense |
Roper Industries, Inc. | Sarasota | Manufacturing | Manufacturing Other |
AutoNation | Fort Lauderdale | Retail | Automobile Dealers |
Watsco, Inc. | Miami | Wholesale and Distribution | Wholesale and Distribution Other |
SFN Group | Fort Lauderdale | Business Services | HR and Recruiting Services |
Tupperware Corporation | Orlando | Manufacturing | Plastics and Rubber Manufacturing |
AirTran Holdings, Inc. | Orlando | Travel, Recreation and Leisure | Passenger Airlines |
WellCare Health Plans, Inc. | Tampa | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Lennar Corporation | Miami | Real Estate and Construction | Real Estate Agents and Appraisers |
HSN, Inc. | Saint Petersburg | Retail | Retail Other |
Certegy | Saint Petersburg | Business Services | Business Services Other |
Raymond James Financial, Inc. | Saint Petersburg | Financial Services | Trust, Fiduciary, and Custody Activities |
Winn-Dixie Stores, Inc. | Jacksonville | Retail | Grocery and Specialty Food Stores |
Jabil Circuit, Inc. | Saint Petersburg | Computers and Electronics | Semiconductor and Microchip Manufacturing |
CSX Corporation | Jacksonville | Transportation and Storage | Freight Hauling (Rail and Truck) |
Fidelity National Financial, Inc. | Jacksonville | Financial Services | Insurance and Risk Management |
Tech Data Corporation | Clearwater | Consumer Services | Automotive Repair & Maintenance |
TECO Energy, Inc. | Tampa | Manufacturing | Chemicals and Petrochemicals |
Lincare Holdings Inc | Clearwater | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Chico's FAS Inc. | Fort Myers | Retail | Clothing and Shoes Stores |
Burger King Corporation LLC | Miami | Retail | Restaurants and Bars |
Publix Super Markets, Inc. | Lakeland | Retail | Grocery and Specialty Food Stores |
Florida Power and Light Company | Juno Beach | Energy and Utilities | Gas and Electric Utilities |
Ryder System, Inc. | Miami | Transportation and Storage | Freight Hauling (Rail and Truck) |
Citrix Systems, Inc. | Fort Lauderdale | Software and Internet | Software and Internet Other |
Harris Corporation | Melbourne | Telecommunications | Wireless and Mobile |
Office Depot, Inc. | Boca Raton | Computers and Electronics | Audio, Video and Photography |
Landstar System, Inc. | Jacksonville | Transportation and Storage | Freight Hauling (Rail and Truck) |
Darden Restaurants, Inc. | Orlando | Retail | Restaurants and Bars |
PSS World Medical, Inc. | Jacksonville | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
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 Florida 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 JUnit, TDD, CPTC, Web Penetration programming
- Get your questions answered by easy to follow, organized JUnit, TDD, CPTC, Web Penetration experts
- Get up to speed with vital JUnit, TDD, CPTC, Web Penetration 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…