Take a well-balanced mixture of theory and practice to start building and applying deep neural networks and ML models (with Keras, TensorFlow) from the 1st training day.
A group from 5 engineers, flexible price, preferable time, and location.
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This is an introduction to the Deep Learning methods for Machine Learning tasks. During this day, we’ll look at surprisingly strong machine learning techniques that have become really popular recently and will cover the following topics:
Image processing benefitted drastically from Deep Learning. The main architecture for these tasks is Convolutional Neural Network. Topics for the day will include:
This day is dedicated to the architecture of neural networks that allow to work with sequential data, most notably, texts. During this day we will cover:
This day is dedicated to establishing a theoretical base of Reinforcement Learning methods. We’ll also look at the most common solutions for Reinforcement Learning that could be used to address NIWC tasks:
Deep Reinforcement Learning combines principles from Reinforcement Learning with Deep Learning. Resulting combination is allowing us to build algorithms that solve complex tasks in different environments.
Minimum group size - 5 persons. Also available for large groups.
This course assumes that you have some basic knowledge of Machine Learning concepts. That's not obligatory, but useful to get familiarised with calculus, linear algebra and applied statistics to understand the theory behind the algorithms.
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When
Number of participants
Total price
${{commonPriceString}}
The price rises closer to the type of training. Have time to buy now!From - To
Number of Delegates
The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.
Price
${{privatePriceString}}
${{privatePriceStringPerson}} per person
Special price
From - To
Number of Delegates
The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.
Price
${{privatePriceString}}
${{privatePriceStringPerson}} per person
Special price
Machine Learning Architect
Vladimir Starostenkov is a skillful ML/AI Architect with a strong expertise in machine learning and artificial intelligence and solid knowledge about distributed computing and embedded software engineering.
Vladimir’s main competencies encompass:
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Did not find the answer to your question? Drop us a line at training@altoros.com
At least minimum experience in programming is enough to proceed!
You can pay via all major credit cards (including Visa, American Express, MasterCard, Discover, and more) or PayPal. If you would like to get an invoice for your company to pay for this training, please email to training@altoros.com and provide us with the following info: Name of your Company/Division which you would like to be invoiced; Name of the person the invoice should be addressed to; Mailing address; Purchase order # to put on the invoice (if required by your company).
Yes, we also offer a discount for groups of 5 or more people who register together.
Please, email to training@altoros.com. Our team will provide you information about the nearest date to your location.
We'd be glad to provide you with: Post-training support from our trainers to cover the questions that you or your team might have; Advanced training options or classes on a different domain to widen your expertise and technical skillset (Kubernetes, Cloud Foundry, Artificial Intelligence / Machine Learning); Customized consulting services for project delivery.
Yes! Once you have completed our training, you will be issued a certificate that you can print or add to your LinkedIn profile for others to see. Note: the certificate does not represent official academic credit.
Yes, we offer discounts of up to 10% off for early birds who register for the training in advance. Each discount tier has a limited number of seats and all of our discounts are available in limited quantities. Once we sell out of our discounted seats, we move to full price.
The standard group size is 8-10 people. Small class sizes provide students unparalleled access to instructors, who are seasoned industry veterans with experience building and deploying full-scale AI solutions. Note: The class is contingent upon having 7+ attendees. If there aren’t enough students, we will offer you to attend the class in a different location or date. That is also the reason why we ask not to buy flight tickets before the class is confirmed.
We do not participate in the process of application for visa. However, you can use a confirmation that you have registered for our class and bought the ticket for it. This should support your visa application. If your application is declined, we will refund the ticket.
Being a Google Gold Partner and AI Builder Partner Altoros delivers AI projects to the organizations that operate in various markets, like banking and finance, insurance, manufacturing, and others. An experienced AI team already helped 14 companies with machine learning adoption and delivering competitive advantage by utilizing the benefits of the technology. More than 500 people all over the world were trained and adopted the knowledge of our experts.
Looking for a top-notch training course to enhance your team's tech skills, Altoros experts can help. Level up your tech skills with the latest tools and frameworks!
Siarhei Sukhadolski
Artificial Intelligence Practice Head
siarhei.s@altoros.com650 265-2266830 Stewart Dr., Suite 119 Sunnyvale, CA 94085
