Unlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
Unlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
We have deep experience delivering enterprise skills and corporate academies to all industries across all roles. Our portfolio features industry-leading education, programs, and services. We can help you design and deploy data-driven products that add real value to users and achieve measurable business outcomes.
The Fast Lane Group operates globally, across 60+ countries, in the delivery of technology, business, and sales training. We also provide a comprehensive consulting service in cloud, cybersecurity, digital transformation, and mobility.
Fast Lane is an authorized training partner of AWS, Aruba, Cisco, Fortinet, Gigamon, Google Cloud, KnowBe4, ISC2, Microsoft, Palo Alto, Splunk, and other leading vendors.
As a result, we can boast a large pool of subject matter experts to assist with helping organizations achieve their digital transformational goals, whatever they might be. Fast Lane also offers its own training programs around the latest technology trends.
NetSoft’s Cloud Engineer Program trains students in Machine Learning. It enables students to gain the proficiency needed to harness the power of these products and other cloud and DevOps tools.
Envision Learning provides data analyst courses in the field of data analysis, focusing on techniques and tools used to extract insights and make informed decisions based on data.
The machine learning course is the perfect one for data analysts, junior data scientist, and python engineers who want to develop ML project experience, learn various industry use cases, and become a data scientist.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
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