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Mahout Training
This Mahout Training includes 1 Course with 4+ hours of video tutorials and Lifetime access. You get to learn how to expand data organization & utilization, uncover patterns and trends behind large data sets and isolate clusters and also classify them into categories.
* One Time Payment & Get Lifetime Access
What you get in this Mahout Training?
4+ Hours
1 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About Mahout Training Certification
| Courses | You get access to the 1 course, Projects for the lifetime |
| Hours | 4+ Video Hours |
| Core Coverage | Learn how to expand data organization & utilization and understand how to uncover patterns and trends behind large data sets, isolate clusters and classify them into categories. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning Mahout and wants to make a career in this data and analytics field |
| Pre-Requisites | Basic knowledge about Data and analytics would be preferable |
| What do you get? | Certificate of Completion for the Mahout Training |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
Mahout Training Curriculum
In this section, each module of the Mahout Certification Course is explained.
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Mahout Training
Courses No. of Hours Certificates Details Mahout 3h 51m ✔
| S No | Course Name | Course Description |
| 1 | Mahout | Apache Mahout is well known for supporting and building users as well as the contributors in a way that the code survives any inventor or contributor apart from the funding which is used to offer the sustenance to the larger group. In this Mahout Training, you will learn about Collaborative Filtering, clusters, and categories. You will know that even though Mahout maybe still new in the tech world, still it has gained quite a significant amount of functional and operational significance especially concerning the clustering, collaboration, and collaborative filtering. A mahout has an added advantage that it is widely used for user-based recommendations and is therefore much more than what an e-commerce API has to offer. You will also learn about the 5 key components namely items, preferences, and user, data model, item similarity, user similarity, recommender, etc. You will also understand the architecture of Mahout which seems to be quite simpler. A recommender is a basic abstraction unit that is used to provide a recommendation based on the data model which in turn refers to the interface about user-based preference data with the source being databases for it. For the clustering part, you will understand that it provides support for various clustering algorithm problems which is further composed of Mapreduce with independent concerns and aims. Some popular techniques include k-means, canopy, Dirichlet, and mean shift. Canopy refers to the algorithm which is used to establish the basis of numerous clustering algorithms. K means and fuzzy means are used to distinguish the items into K clusters which are based on the distance from the centroid. You will learn in detail about the clustering mechanism being followed. In the case of categorization using Mahout, it supports both classification and categorization of content namely the Naïve Bayes Classifier which is simply an advanced approach of the map-reduce. You will, therefore, learn everything essential for you to start working with Mahout in Mahout Training certification. |
Mahout Training – Certificate of Completion
What is Apache Mahout?
Mahout is the product of the open-source community Apache which demonstrates the use of machine learning to cluster documents, filtering samples, classification use cases, and collaboration. This was co-founded by Grant Ingersoll who was also effective in tagging the online content and can be used to organize recommendations. It has a wide community of support for data structures and linear algebra along with statistical operations for support. Mahout Samsara helps in providing a whole new mathematical world with the never before seen algorithms. Samsara is a basic reconceptualization of tailor-made scalable algorithms for machine learning. Mahout provides distributed operations on Spark modes thereby providing more ease to customize and use algorithms besides making task submission easier.
It is a perfect solution for all those who wish to hitch a ride with all the commercial-friendly ML algorithms useful for building apps that are intelligent enough. The new math ecosystem called Samsara which is for renewal, a universal renewal. It provides a base for linear algebra as well as data structures along with statistical operations for supporting. Apache Mahout is required to build an intelligent app ecosystem along with the ease and rapidity. The machine learning methods such as categorization, collaborative filtering, and clustering ensure that simplicity is found among the larger group of people or self-tagging of online content. The main thing which creates a difference in what is seen today and what has been the scenario earlier is how quickly data transfers and translates into actionable information. Enhancing and organization of data is the premise formed of a machine learning algorithm.
Industry Growth Trend
The hadoop big data analytics market is projected to grow from USD 6.71 Billion in 2016 to USD 40.69 Billion by 2021, at a CAGR of 43.4% between 2016 and 2021.[Source - MarketsandMarkets]
Which tangible skills you will learn in this Course?
The Mahout Training Certification is aimed to provide you skills related to machine learning and its algorithms. Other techniques include clustering, collaborative filtering, classification, etc. techniques that are used to build a machine learning model more effective and efficient. Other skills include development, analytical skills, mathematics skills such as calculating vectors such as sparse and dense vectors, indexing the content into Lucene, and thereby creating vectors from the index provided is how you go about it. The algorithm of clustering again takes into consideration features vectors. Data crunching comes automatically when you talk about handling big data or anything related to data science and machine learning, so data crunching, interpolation, cleansing, analysis, etc. becomes the skillset that this Mahout Training intends to provide you. Another skillset will be related to k means clustering algorithm which makes use of the calculation of the distance from the centroid nodes and provides an efficient output.
Pre-requisites
- The prerequisites of Mahout Certification Course includes:
- You should have a strong knowledge of coding and development.
- You should have an analytical skillset apart from technical skillset as this makes use of data science algorithms and analysis of data, therefore, it becomes a mandate.
- Knowledge of Hadoop and data science and machine learning-based ecosystem as to know the functioning and the placement of the mahout in this realm.
- Knowledge of machine learning internals such as how and why do we require algorithms, what is the real use case, etc.
- A JDK should be installed along with a build tool such as Maven or Ant.
- Any real-time processing tool should be present such as a spark, Flink, Kafka, etc.
- A zeal and an enthusiasm to learn the Mahout Training Certification and a basic computer science knowledge.
Target Audience
- The right target audience for Mahout Training is the ones who have been trying to work their way through learning and deploying tasks and also analyzing them such as those of developers, analysts, web developers, big data engineers, software engineers, consultants, professionals, data scientists, big data scientists, etc. Apart from the professional people, the students can also be formed as an ideal audience as they might be interested in giving machine learning a try, and especially by learning Mahout Training they will be successfully able to do a hands-on upon Mahout. Other professionals from different domains who are planning to device their structure or a product such as entrepreneurs form the part of an ideal audience for Mahout Certification. Anybody who is looking to apply for mahout based jobs such as those related to meteorology or geology comes in the category of the ideal audience.
Mahout Certification – FAQs
Is it tough for somebody to learn Mahout who has working experience in some other domain?
The mahout certification course is designed in such a way that anybody who adheres and follows the above-mentioned prerequisites will be able to do well in this Mahout Training. You don’t need to belong from a mahout background to learn this technology but the zeal and the right attitude are what matters more to learn this.
Do I need to keep practicing or a one-time course completion is enough?
One time course completion should be enough for you if you are targeting the knowledge of theoretical concepts only. By skimming through the Mahout Training content the first time, you will get a good fair amount of idea about what exactly is expected and asked, where you stand right now and how much practice is required. Accordingly, regular practice is always a good option so that you do not lose the touch of the technology and this also helps in revising your skillset.
Why should we learn Mahout?
This is an era of digitalization and in this era, apart from software developers who used to work on traditional technologies like backend, frontend, middleware, it’s more and more becoming about data. Especially the growing field of analytics talks only about these new end technologies, such as big data, Mahout, etc. When you learn Mahout certification course you ensure to be up in the ladder in the competition among your fellow mates who are looking forward to their way to enter the field of analytics. Mahout will give your career a good boost which you have possibly always wanted. At eduCBA you are getting this Mahout Training for a very minimal price. It is an opportunity that is not worth missing.
Sample Preview
Career Benefits
- Mahout Training has many facets. It is well suited for data engineers, developers, analysts, and possibly anyone who is looking forward to getting benefit from this course. This enhances technical skillset, programming, coding, analytical skillset, etc. so the career benefits of this Mahout Training are huge as it only talks about all the new things which are being used in the market today. Every technology which is being talked about is a niche technology that has a higher demand as compared to the people filling in for those positions. In a nutshell, going for these technologies, high demanding technologies, hot technologies by doing Mahout certification course will surely add a nice tag in your resume and a great skillset in your professional career.
Reviews
Apache Mahout – Machine Learning with Mahout Training
This is the most complex and complete set of lectures of the full package I bought. In this one there are lots of examples and things to practice, and it is much longer than the rest. A Mahout setup is really necessary, whether it is AWS service as recommended or it is got in some other way. That’s the only way to get the gist on this knowledge. And the best thing is all the things are covered in this course.
Linked
Francisco Lopez Gil
Very clear!
This is very well structured and easy to understand.
It contains lots of content as structure, reading, and writing an algorithm and first steps in programming some small Programm which reads and counts out words in sentences to make the Hadoop function visible. Thanks.
Dominik
Fun learning Mahout
Excellent, even though at the beginning it is not the easiest to understand, once one gets familiarized everything is smooth. Mahout Training inspired me to study more about programming and languages. I am just beginning so I think I will come back to it again anytime I want help while working on it at my workplace.
Mahfoudh Akbar
