Private Training: Machine Learning at Scale

We help businesses achieve more using Machine Learning and Data Science. Leverage the practical expertise of expert instructors to accelerate your projects.

Internet of Everything—things, people, and processes—drives data complexity, while introducing new forms and sources of information. Big data implies huge and diverse sets of structured, semi-structured, or unstructured data that traditional relational databases are no longer able to capture, manage, and process.
Big data analysis enables researchers and businesses to make smart decisions. By applying such advanced analytics techniques—machine learning and data mining, natural language processing and computer vision, as well as predictive analytics and statistics—businesses can gain new insights and automate existing processes. Our course will help you to incorporate data-driven decision making into your business.
Hands-on
Hands-on

Each theoretical block is followed by a relevant set of practical labs

Instructor-led
Instructor-led

You'll be guided by an experienced instructor during all training days

On-site
On-site

The training is delivered at your premises and on suitable dates

Hands-On Training Course: Machine Learning at Scale

Big data for new business insight and better decision making
Core Concepts and Techniques
Theory
  • An introduction to machine learning tasks and definitions
  • Core principles of building machine learning algorithms
  • A diversity of machine learning algorithms: from linear regression to random forest
  • Core Python packages for machine learning
Practice
  • Linear and logistic regressions
  • k-nearest neighbors and k-means
  • Decision trees and random forest
  • Core Python packages for machine learning
Packages of choice are Pandas/NumPy/scikit-learn
Machine Learning at Big Data Scale
In this module, you will learn:
  • Basic knowledge and principles of Hadoop (Yarn, HDFS)
  • Main concepts of Spark, such as RDD, shared variables, persistency, as well as the solution's architecture and internals
  • Сore principles of Spark SQL
  • Basic principles of Spark MLlib
Real-time Data Analytics
This module covers data real-time processing using such engines as:
  • Spark Stream
  • Spark Structured Stream
  • Apache Kafka
Additionally, you will get knowledgeable about integrating Kafka with:
  • Spark Streaming
  • Spark Structured Streaming

This program doesn't meet your requirements? Combine your own training program!

Combine

What Attendees Say

Here's what attendees say about our events
Modern Applications of Machine Learning
ML-01
DL-01
Workshop
I enjoyed the class and learned a lot even though there was so much content jammed into a very small time. The most enjoyable was deep neural nets and seeing some of the largest example. The most valuable thing professionally will probably be the classification clustering that I have learned K-NN probably
Mark, Machine Learning training in Washington DC
Deep Learning for Advanced Analytics
ML-01
ML-03
DL-01
DL-02
DL-03
Great experience. Very knowledgeable and friendly trainers. Practical examples/issues the trainers provided based on their experience.
Ramesh Balasubramanian, Machine and Deep Learning training in San Diego
Neural Networks and Deep Learning
ML-01
DL-01
DL-02
DL-03
DL-04
Combination of conceptual and practical contents. Also, shared personal experiences and views were particularly valuable.
Arpad Rozsas, Neural Networks and Deep Learning course in Madrid

Contact us

Share your training requirements or ask questions and we will contact you shortly!

Alexandra Mironova

Alexandra Mironova

Training Coordinator

Headquarters

location icon830 Stewart Dr., Suite 119Sunnyvale, CA 94085
First Name*
Last Name*
Email*
Phone*
Your company name*
How can we help you?