Master Machine learning at Scale with Apache Spark and MLlib
From Google to Netflix, leading businesses around the world are sincerely pressed handling vast datasets. That’s where apache spark and machine learning superset comes handy. StackRute promises the best B2B learning experience to hone Spark ML skill for your employees.
Who is this course for :
Programmers and Developers
Program Format
Online and Masterclasses
What Does Scalable Machine Learning with Apache Spark and MLlib Course Means For Your Business?
As a dedicated Apache Spark and Machine Learning course, this is your cue to introduce your employees to a comprehensive and flexible learning experience. Starting with the fundamentals, this course guides learners into developing a deep understanding of Spark Machine Learning, along with essential big data manipulation skills. In turn, it checks significant boxes to empower your company from close quarters.
Leverage Spark Machine Learning for constructing Machine Learning Model- Master the fundamentals of predictive analysis
- Process effective data pipelines
- Uniquely work and transform structured data using SparkSQL and DataFrames
Overview of Tools Covered in StackRoute's Machine Learning with Apache Spark and MLlib Course
StackRoute's Machine Learning with Apache Spark and MLlib course is an excellent window to master in-demand tools and technologies for executing core machine learning tasks.
Apache Spark: A powerful distributed computing framework for processing large-scale data sets.
MLlib: Machine Learning Library is a scalable machine learning library provided by Apache Spark. It includes different algorithms and tools for performing machine learning tasks, like classification, regression, clustering, and collaborative filtering.
Python: The course includes training in Python programming language that is widely used for data analysis, machine learning, and artificial intelligence projects
Scala: Scala is another useful programming language for building scalable applications on the Apache Spark platform.
Data Frame-based APIs: The course focuses on using high-level Data Frame-based APIs in Apache Spark for efficient data processing and manipulation.
Algorithms: Various machine learning algorithms and techniques are taught as part of the course, including regression, classification, clustering, collaborative filtering, and more.
Tools Covered
Data Science & Machine Learning Courses Mentors
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Why Choose Our Scalable Machine Learning with Spark and MLlib Course
As a B2B learning platform, StackRoute’s singular goal is to design a flexible and comprehensive learning experience. With our Machine Learning with Spark and MLlib course, we seek to empower forward-thinking businesses and help them achieve more with their advanced data science and machine learning goals. Here’s what makes us a preferred knowledge transformation partner for leading brands in india.
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A Cue to master leading and in-demand technologies: Our learners are trained on the latest tools and technologies, including Apache Spark and MLlib. This helps them handle big datasets and implement scalable machine learning algorithms.
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Practical Application:: Your team will work on projects and case studies that mirror industry challenges, giving them the much needed exposure to understand the demands of a data science role.
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Expert Guidance: Our instructors are industry experts with vast experience in data science, machine learning, and Apache Spark. They provide personalized guidance and mentorship throughout the course, ensuring that your team gains valuable insights and skill.
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Unmatched Scalability:This is where your team learns how to leverage Apache Spark's scalability and performance capabilities for seamless data processing and analysis.
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Industry Recognition: Stackroute is known for its comprehensive and industry-aligned training programs. Completing our course adds credibility to your team's skill set and enhances their marketability in the data science and machine learning domain.
Who Should Attend This Apache Spark and Machine Learning Course
- Any beginner Apache Spark Developer
- Bigdata Engineers
- Programmers and Developers
- Software Developers
- Machine Learning Engineers
- Data Scientists
Client Testimonials
"At Sony, we invest heavily to ensure that fresh graduates who join our organization are equipped with the right skills and join their project engagements with the required technical confidence. Traditionally, we used to provide class room based training for "
Anu Thomas, Sony India.
"As CGI partners with clients across industries and geographies to support their digital transformation agenda, we are pleased to be working with StackRoute to continually deep skill our consultants as part of our commitment to help our clients in their ."
George Mattackal, President, CGI.
"StackRoute is a key partner for us in building a first-of-its-kind training program to meet the digital transformation needs of our customers. Through this program, we are creating a cadre of world-class full-stack programmers able to join multi-disciplinary teams in our Bangalore pod."
Reynolds Alex, Wipro Digital.
“Through StackRoute’s immersive learning programme, our graduates have been able to easily integrate into CGI’s product development initiatives. The coaches were very skilled, creating an environment to learn, challenge boundaries, and excel.”
Jennifer Mecherippady, VP - Asia Pacific Solutions Delivery Center, CGI.
As consumers change digital behaviors faster than companies can adapt, our clients look to Wipro to provide agility, speed and scale to their digital transformation efforts. For us, building the right mix of people with the right skills is critical. In particular, we look for Pi-Shaped people who can work on multiple platforms,
Rajan Kohli, Wipro Digital.
Trusted By The Best In The Business
Frequently Asked Questions about StackRoute's Machine Learning with Apache Spark and MLlib Training Program
1. Who will benefit from StackRoute's Machine Learning with Spark and MLlib training? 
2. What prerequisites are required for Machine Learning with Spark and MLlib?
3. What is the duration of Machine Learning with Spark and MLlib?
4. Can StackRoute's Machine Learning with Spark and MLlib be customized for corporate training programs?
5. How can Machine Learning with Spark and MLlib benefit our organization's data science team?
5. What support and resources are available for corporate clients during and after Machine Learning with Spark and MLlib?
Reach out to us!
Got a question about our programs? Interested in partnering with us? Got suggestions or just want to say hi? Contact us below:
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