Oracle, MySQL, Cassandra, Hadoop Database Training Classes in Sarasota, Florida
Learn Oracle, MySQL, Cassandra, Hadoop Database in Sarasota, 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 Oracle, MySQL, Cassandra, Hadoop Database related training offerings in Sarasota, Florida: Oracle, MySQL, Cassandra, Hadoop Database Training
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20 May, 2024 - 21 May, 2024 - Ruby Programming
19 August, 2024 - 21 August, 2024 - OpenShift Fundamentals
24 June, 2024 - 26 June, 2024 - Object-Oriented Programming in C# Rev. 6.1
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24 June, 2024 - 27 June, 2024 - See our complete public course listing
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.
Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied. For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.
In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.
Panelist, Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”
Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”
Once again Java tops C as the number one sought after programming language on the internet. According TIOBE Programming Community Index for February 2013 and five search engines: Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu, Java regained its position after being bumped by C in May 2012.
Despite the recent urging by the U.S. Department of Homeland Security of computer users to disable or uninstall Java due to a flaw in Runtime Environment (JRE) 7, Java, has increased its market share of all languages by (+2.03%) in the past six months. The jump in Java’s popularity does not come as a surprise as the Android OS claims massive success in the mobile space. The top twelve programming languages listed in the index are:
- Java
- C
- Objective-C
- C++
- C#
- PHP
- Python
- (Visual) Basic
- Perl
- Ruby
- Java Script
- Visual Basic.NET
Also rising, Python and PHP which are competing to becoming the most popular interpreted language.
Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.
Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.
Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.
Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.
Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.
Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).
Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.
Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.
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 Oracle, MySQL, Cassandra, Hadoop Database programming
- Get your questions answered by easy to follow, organized Oracle, MySQL, Cassandra, Hadoop Database experts
- Get up to speed with vital Oracle, MySQL, Cassandra, Hadoop Database 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…