About this Specialization
What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training? This course teaches you how to build Vertex AI AutoML models without writing a single line of code; build BigQuery ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using containers (with little knowledge of Docker); use Feature Store for data management and governance; use feature engineering for model improvement; determine the appropriate data preprocessing options for your use case; use Vertex Vizier hyperparameter tuning to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems, write distributed ML models that scale in TensorFlow; and leverage best practices to implement machine learning on Google Cloud. > By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <
| From | Saint Petersburg State University, Google Cloud, National Research Tomsk State University via Coursera |
|---|---|
| Hours | 153 |
| Instructors | Alla L Lapidus, Павел Добрынин, Екатерина Черняева, Михаил Райко, Николай Вяххи, Google Cloud Training, Mikhail Rayko, Нина Александровна Агапова (Nina A. Agapova), Нина Александровна Агапова |
| Language | Russian, English |
| Subjects | Science Data Science Programming IT & Networking Languages |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
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Jan |
Введение в биоинформатику (Introduction to Bioinformatics) Курс «Введение в биоинформатику» адресован тем, кто хочет получить расширенное представление о том, что такое биоинформатика и как она помогает биологам и медикам в их... Coursera | Saint Petersburg State University, Google Cloud |
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Feb |
Русский язык как инструмент успешной коммуникации (You were viewing this course) Русский язык изменяется постоянно; это совершенно естественный процесс, ведь не меняются только мёртвые языки. Сегодня на изменение языковой системы влияют различные факторы:... Coursera | National Research Tomsk State University, Google Cloud |
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Jun |
How Google does Machine Learning This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a... Coursera | Google Cloud |
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Jun |
Launching into Machine Learning The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy... Coursera | Google Cloud |
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Jul |
This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models... Coursera | Google Cloud |
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Jul |
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features.... Coursera | Google Cloud |
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Jun |
Machine Learning in the Enterprise This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the... Coursera | Google Cloud |
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| From | Saint Petersburg State University, Google Cloud, National Research Tomsk State University via Coursera |
|---|---|
| Hours | 153 |
| Instructors | Alla L Lapidus, Павел Добрынин, Екатерина Черняева, Михаил Райко, Николай Вяххи, Google Cloud Training, Mikhail Rayko, Нина Александровна Агапова (Nina A. Agapova), Нина Александровна Агапова |
| Language | Russian, English |
| Subjects | Science Data Science Programming IT & Networking Languages |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance
