C# Programming Training Classes in Milpitas, California

Learn C# Programming in Milpitas, California 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 C# Programming related training offerings in Milpitas, California: C# Programming Training

We offer private customized training for groups of 3 or more attendees.
Milpitas  Upcoming Instructor Led Online and Public C# Programming Training Classes
20483: Programming in C# Training/Class 6 February, 2023 - 10 February, 2023 $2090
HSG Training Center
Milpitas, California
Hartmann Software Group Training Registration
Object-Oriented Programming in C# Rev. 6.1 Training/Class 6 February, 2023 - 10 February, 2023 $2090
HSG Training Center
Milpitas, California
Hartmann Software Group Training Registration

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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.

Planning on a little spring cleaning and getting rid of all those old electronics? With the way technology changes so quickly, it seems like we no sooner have one new electronic piece and there’s a new one on the market that we absolutely have to have. The result is a ton of used electronics stored away. Now it’s time to get rid of everything, here are some tips on what to do with all that old tech stuff and how to do it safely.

Save on Landfill Waste

Few people really realize where their electronics wind up when they throw them in the trash or dumpster. They assume they’re getting taken care of and just forget about them. According to the Environmental Protection Agency, one of the fastest growing components of landfill waste is electronics. The unfortunate part of this is that these electronics are filled with lead, mercury and other toxic chemicals – chemicals that find their way into our soil and water.

This results in the contamination of our lakes, streams and soil. The best way to avoid this is by knowing where your electronics are going and to dispose of them safely. Contact the recycling center in your area and ask for the best place to dispose of your old electronics.

Think of Security

Our lives are filled with electronic technology, whether it’s in the form of computers, tablets, smart phones or video games. Most of these electronics allow network sharing with people all over the world. With identity theft such a growing concern, much of our private lives and personal information is entered in the hard drives of these items.

Before you dispose of any electronics, make sure the hard drives are wiped clean of all personal information. This requires more than just “deleting” files. If you’re not sure how to correctly get rid of the information, contact a professional to do this for you. Even if you have to pay to have it done, it’s a minimal expense compared to having your private information stolen.

Find New Homes for Your Electronics

Once you’ve cleaned out your electronics of personal information, they may still be worth something to other individuals. You may know of a child or elderly person who would really appreciate a “new” computer or a tablet. Someone who has never owned a smart phone or laptop may be thrilled to suddenly own one, even if they are obsolete to you.

If you can’t find anyone that wants them, consider selling them on places like eBay, Craigslist or one of the many other online auction sites. The old saying, “one man’s junk is another man’s gold” is especially true when it comes to electronics. Many people like building computers using their own parts.

Students in computer-related programs also utilize used electronics as a form of hands-on training. Most schools also take in donated computers, televisions and cell phones. Contact your electric company or school district to get information on where you can take your old electronics. You’ll be not only cleaning out your house but also helping the environment.

 

Related:

Cloud Computing: What It Means and How It Could Threaten the Traditional Outsourcing Model

I will begin our blog on Java Tutorial with an incredibly important aspect of java development:  memory management.  The importance of this topic should not be minimized as an application's performance and footprint size are at stake.

From the outset, the Java Virtual Machine (JVM) manages memory via a mechanism known as Garbage Collection (GC).  The Garbage collector

  • Manages the heap memory.   All obects are stored on the heap; therefore, all objects are managed.  The keyword, new, allocates the requisite memory to instantiate an object and places the newly allocated memory on the heap.  This object is marked as live until it is no longer being reference.
  • Deallocates or reclaims those objects that are no longer being referened. 
  • Traditionally, employs a Mark and Sweep algorithm.  In the mark phase, the collector identifies which objects are still alive.  The sweep phase identifies objects that are no longer alive.
  • Deallocates the memory of objects that are not marked as live.
  • Is automatically run by the JVM and not explicitely called by the Java developer.  Unlike languages such as C++, the Java developer has no explict control over memory management.
  • Does not manage the stack.  Local primitive types and local object references are not managed by the GC.

So if the Java developer has no control over memory management, why even worry about the GC?  It turns out that memory management is an integral part of an application's performance, all things being equal.  The more memory that is required for the application to run, the greater the likelihood that computational efficiency suffers. To that end, the developer has to take into account the amount of memory being allocated when writing code.  This translates into the amount of heap memory being consumed.

Memory is split into two types:  stack and heap.  Stack memory is memory set aside for a thread of execution e.g. a function.  When a function is called, a block of memory is reserved for those variables local to the function, provided that they are either a type of Java primitive or an object reference.  Upon runtime completion of the function call, the reserved memory block is now available for the next thread of execution.  Heap memory, on the otherhand, is dynamically allocated.  That is, there is no set pattern for allocating or deallocating this memory.  Therefore, keeping track or managing this type of memory is a complicated process. In Java, such memory is allocated when instantiating an object:

String s = new String();  // new operator being employed
String m = "A String";    /* object instantiated by the JVM and then being set to a value.  The JVM
calls the new operator */

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

Tech Life in California

Largely influenced by several immigrant populations California has experienced several technological, entertainment and economic booms over the years. As for technology, Silicon Valley, in the southern part of San Francisco is an integral part of the world?s innovators, high-tech businesses and a myriad of techie start-ups. It also accounts for 1/3rd of all venture capital investments.
Nothing that is worth knowing can be taught. ~ Oscar Wilde
other Learning Options
Software developers near Milpitas 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 California that offer opportunities for C# Programming developers
Company Name City Industry Secondary Industry
Mattel, Inc. El Segundo Retail Sporting Goods, Hobby, Book, and Music Stores
Spectrum Group International, Inc. Irvine Retail Retail Other
Chevron Corp San Ramon Energy and Utilities Gasoline and Oil Refineries
Jacobs Engineering Group, Inc. Pasadena Real Estate and Construction Construction and Remodeling
eBay Inc. San Jose Software and Internet E-commerce and Internet Businesses
Broadcom Corporation Irvine Computers and Electronics Semiconductor and Microchip Manufacturing
Franklin Templeton Investments San Mateo Financial Services Investment Banking and Venture Capital
Pacific Life Insurance Company Newport Beach Financial Services Insurance and Risk Management
Tutor Perini Corporation Sylmar Real Estate and Construction Construction and Remodeling
SYNNEX Corporation Fremont Software and Internet Data Analytics, Management and Storage
Core-Mark International Inc South San Francisco Manufacturing Food and Dairy Product Manufacturing and Packaging
Occidental Petroleum Corporation Los Angeles Manufacturing Chemicals and Petrochemicals
Yahoo!, Inc. Sunnyvale Software and Internet Software and Internet Other
Edison International Rosemead Energy and Utilities Gas and Electric Utilities
Ingram Micro, Inc. Santa Ana Computers and Electronics Consumer Electronics, Parts and Repair
Safeway, Inc. Pleasanton Retail Grocery and Specialty Food Stores
Gilead Sciences, Inc. San Mateo Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
AECOM Technology Corporation Los Angeles Real Estate and Construction Architecture,Engineering and Design
Reliance Steel and Aluminum Los Angeles Manufacturing Metals Manufacturing
Live Nation, Inc. Beverly Hills Media and Entertainment Performing Arts
Advanced Micro Devices, Inc. Sunnyvale Computers and Electronics Semiconductor and Microchip Manufacturing
Pacific Gas and Electric Corp San Francisco Energy and Utilities Gas and Electric Utilities
Electronic Arts Inc. Redwood City Software and Internet Games and Gaming
Oracle Corporation Redwood City Software and Internet Software and Internet Other
Symantec Corporation Mountain View Software and Internet Data Analytics, Management and Storage
Dole Food Company, Inc. Thousand Oaks Manufacturing Food and Dairy Product Manufacturing and Packaging
CBRE Group, Inc. Los Angeles Real Estate and Construction Real Estate Investment and Development
First American Financial Corporation Santa Ana Financial Services Financial Services Other
The Gap, Inc. San Francisco Retail Clothing and Shoes Stores
Ross Stores, Inc. Pleasanton Retail Clothing and Shoes Stores
Qualcomm Incorporated San Diego Telecommunications Wireless and Mobile
Charles Schwab Corporation San Francisco Financial Services Securities Agents and Brokers
Sempra Energy San Diego Energy and Utilities Gas and Electric Utilities
Western Digital Corporation Irvine Computers and Electronics Consumer Electronics, Parts and Repair
Health Net, Inc. Woodland Hills Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Allergan, Inc. Irvine Healthcare, Pharmaceuticals and Biotech Biotechnology
The Walt Disney Company Burbank Media and Entertainment Motion Picture and Recording Producers
Hewlett-Packard Company Palo Alto Computers and Electronics Consumer Electronics, Parts and Repair
URS Corporation San Francisco Real Estate and Construction Architecture,Engineering and Design
Cisco Systems, Inc. San Jose Computers and Electronics Networking Equipment and Systems
Wells Fargo and Company San Francisco Financial Services Banks
Intel Corporation Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Applied Materials, Inc. Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Sanmina Corporation San Jose Computers and Electronics Semiconductor and Microchip Manufacturing
Agilent Technologies, Inc. Santa Clara Telecommunications Telecommunications Equipment and Accessories
Avery Dennison Corporation Pasadena Manufacturing Paper and Paper Products
The Clorox Company Oakland Manufacturing Chemicals and Petrochemicals
Apple Inc. Cupertino Computers and Electronics Consumer Electronics, Parts and Repair
Amgen Inc Thousand Oaks Healthcare, Pharmaceuticals and Biotech Biotechnology
McKesson Corporation San Francisco Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
DIRECTV El Segundo Telecommunications Cable Television Providers
Visa, Inc. San Mateo Financial Services Credit Cards and Related Services
Google, Inc. Mountain View Software and Internet E-commerce and Internet Businesses

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 California 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 C# Programming programming
  • Get your questions answered by easy to follow, organized C# Programming experts
  • Get up to speed with vital C# Programming 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.