Machine Learning Training in Chemnitz, Germany

The importance of variables in any programming language can’t be emphasised enough. Even if you are a novice, the chances are good that you will have been using variables for quite a while now.

They are the cornerstone of any language and without them we would not be able to accomplish much of anything. However, most of you up until this point have probably only been working with standard variables, variables which can hold single values such as an integer, a single character, or a string of text.

In this tutorial we are going to take a look at a more special type of variable called an array. Arrays can seem quite daunting at first glance but once you get used to working with them you will wonder how you ever managed to program without them.

The reason arrays are special is because they can hold more than one value. Think about this: say you create a variable which contains a line of text like the code below:

Smart Project Management: Best Practices of Good Managers

[Apr, 23, 2014] |
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Smart Project Management –Best Practices of Good Managers

Project management could be one of the easiest jobs on the planet, and could also be the worst nightmare. The difference between the two extremes depends on smart management of a project. According to the project management institute, there are five phases in project management - Initiating, Planning, Executing, Monitoring & Controlling, and Closing.

Every manager has his own style of project management. But there are a lot of contributing factors that result in a successfully managed project. These factors vary from project to project, but they all contain some common elements.

1. Setting SMART Goals

The Templatization of Business Rules

[Jul, 05, 2012] |
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A business rule is the basic unit of rule processing in a Business Rule Management System (BRMS) and, as such, requires a fundamental understanding. Rules consist of a set of actions and a set of conditions whereby actions are the consequences of each condition statement being satisfied or true. With rare exception, conditions test the property values of objects taken from an object model which itself is gleaned from a Data Dictionary and UML diagrams. See my article on Data Dictionaries for a better understanding on this subject matter.

A simple rule takes the form:

if condition(s)

then actions.

An alternative form includes an else statement where alternate actions are executed in the event that the conditions in the if statement are not satisfied:

if condition(s)

then actions

else alternate_actions

It is not considered a best prectice to write rules via nested if-then-else statements as they tend to be difficult to understand, hard to maintain and even harder to extend as the depth of these statements increases; in other words, adding if statements within a then clause makes it especially hard to determine which if statement was executed when looking at a bucket of rules. Moreoever, how can we determine whether the if or the else statement was satisfied without having to read the rule itself. Rules such as these are often organized into simple rule statements and provided with a name so that when reviewing rule execution logs one can determine which rule fired and not worry about whether the if or else statement was satisfied. Another limitation of this type of rule processing is that it does not take full advantage of rule inferencing and may have a negative performance impact on the Rete engine execution. Take a class with HSG and find out why.

Rule Conditions

How to add an item to a dictionary

[Mar, 29, 2014] |
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To add to a python dictionary is very easy. First create a dictionary, and then associate a key with a value.

a = {'cat',"furry thing"}
a['dog']="typically likes to run and is very loyal"
print a

Here is what is printed:

{'cat':'furry thing', 'dog':'typically likes to run and is very loyal'}


    
    
        
            
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                        with the hartmann software group?
                    
                    
                        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.  
                                
                                    We have provided software development and other IT related training 
                                        to many major corporations in  Germany 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
                            
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                                training locations 
                                 Germany cities where we offer Machine Learning Training Classes
                            
                                                    
                            
                                        
                                            
                                                        ·Dusseldorf
                                                    
                                                        · Frankfurt
                                                    
                                                        · Chemnitz
                                                    
                                                        · Saarbrucken
                                                    
                                                        ·Koblenz
                                                    
                                                        · Duisburg
                                                    
                                                        ·Heidelberg
                                                    
                                                        · Leipzig
                                                    
                                                        · Hannover
                                                    
                                                        · Furth
                                                    
                                                        ·Bremen
                                                    
                                                        · Cologne
                                                    
                                                        ·Kassel
                                                    
                                                        · Osnabruck
                                                    
                                                        · Stuttgart
                                                    
                                                        · Potsdam
                                                    
                                                        ·Augsburg
                                                    
                                                        · Braunschweig
                                                    
                                                        ·Dortmund
                                                    
                                                        · Bonn
                                                    
                                                        · Munster
                                                    
                                                        · Hamburg
                                                    
                                                        ·Rostock
                                                    
                                                        · Lubeck
                                                    
                                                        ·Bielefeld
                                                    
                                                        · Nurnberg
                                                    
                                                        · Essen
                                                    
                                                        · Freiburg
                                                    
                                                        ·Wiesbaden
                                                    
                                                        · Magdeburg
                                                    
                                                        ·Munich
                                                    
                                                        · Kiel
                                                    
                                                        · Wuppertal
                                                    
                                                        · Karlsruhe
                                                    
                                                        ·Dresden
                                                    
                                                        · Mannheim
                                                    
                                                        ·Berlin
                                                    
                                                        · Erfurt
                                                                                  
                                    
                                
                        
                    
        
    
    
        
            
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