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Machine Learning courses

1795 Courses

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California Institute of Technology Independent

Introduction to AI in the Data Center

Welcome to our comprehensive course, "Introduction to AI in the Data Center"! Dive into the world where Artificial Intelligence (AI) is revolutionizing various sectors by offering enhanced compute power, innovative tools, and algorithms essential for breakthroughs across disciplines. This insightful course is designed to unfold the mysteries of AI.
provider Independent
sessions On-Demand
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California Institute of Technology Coursera  Specialization

AI for Good

Explore the transformative power of artificial intelligence in tackling global issues with the "AI for Good" specialization on Coursera. This comprehensive program illustrates the significant role AI can play in confronting challenges across public health, climate change, and disaster management. Under the guidance of Robert Monarch, an industry ve.
provider Coursera  Specialization
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California Institute of Technology edX

Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

Title: Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Description: In today's Cloud Computing era, data reigns supreme. Dive into the essentials of collecting, storing, and managing big data with our comprehensive course. Gain a clear understanding of Data Analysis frameworks and unleash the potential of Machine Learning and A.
provider edX
sessions On-Demand
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California Institute of Technology edX

Google AI for Anyone

Embark on a journey into the captivating world of AI with the "Google AI for Anyone" course. This enlightening program demystifies Artificial Intelligence, cutting through the myths to offer a clear understanding of AI and Machine Learning. Designed with everyone in mind, no prior knowledge of computer science, mathematics, AI, or programming is ne.
provider edX
sessions On-Demand
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California Institute of Technology Coursera

Advanced AI Techniques for the Supply Chain

Unlock the potential of advanced AI in optimizing your supply chain with our comprehensive course offered through Coursera. Delve into sophisticated machine learning methods designed to address complex challenges across supply chain operations. This course kicks off with a detailed exploration of ML paradigms, including regression and classificatio.
provider Coursera
sessions On-Demand
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California Institute of Technology Udacity

AI Fundamentals

Embark on your journey into the realm of artificial intelligence with AI Fundamentals, a course designed to offer beginners a comprehensive introduction to AI through Microsoft's innovative cloud-based technologies, including Azure Machine Learning and Azure Cognitive Services. Offered by Udacity, this program provides a unique opportunity to explo.
provider Udacity
sessions On-Demand
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California Institute of Technology Coursera  Specialization

Natural Language Processing

Delve into the transformative world of Natural Language Processing (NLP), a pivotal branch that merges linguistics, computer science, and artificial intelligence to process and understand human language through algorithms. This highly influential field stands at the forefront of machine learning applications, playing a critical role in analyzing va.
provider Coursera  Specialization
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California Institute of Technology Qwiklabs

Perform Foundational Data, ML, and AI Tasks in Google Cloud

Earn a prestigious skill badge with the "Perform Foundational Data, ML, and AI Tasks in Google Cloud" course offered by Qwiklabs. This unique learning opportunity allows you to delve into the basics of machine learning and AI technologies, including BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trif.
provider Qwiklabs
sessions On-Demand
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California Institute of Technology LinkedIn Learning  Path

Master the Fundamentals of AI and Machine Learning

Embark on a transformative journey with our comprehensive course, Master the Fundamentals of AI and Machine Learning, offered by LinkedIn Learning Path. Dive deep into the distinctions between AI and machine learning and uncover their profound implications on your career and the broader world. Through this meticulously curated learning path, gain u.
provider LinkedIn Learning  Path
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California Institute of Technology Coursera

Solve Business Problems with AI and Machine Learning

Embark on a transformative journey with our course, "Solve Business Problems with AI and Machine Learning," offered through Coursera. This essential program marks the beginning of your path towards becoming a Certified Artificial Intelligence Practitioner (CAIP), and it's designed to seamlessly introduce you to the dynamic world of AI and ML. Under.
provider Coursera
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!