Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
According to a Hackernoon report, 74% of decision-makers, corporate owners and IT executives believe machine learning has the ability to transform their work and sector. Companies that use machine learning to enhance organizational performance and improve the decision-making process have clear benefits over those that do not. The Machine Learning online course aims to provide candidates with the knowledge and skills needed to comprehend the effect of machine learning and effectively articulate its integration.
It has never been simpler for businesses of all sizes to leverage the value of data. Introduction open-source and free Artificial intelligence and machine learning technologies. Embedding machine learning technologies into an organisation effectively necessitates a practical grasp of its concepts. The Machine Learning training teaches about the various types of modelling concepts used in machine learning. The Machine Learning syllabus focuses on determining the models, methodologies, and ethical implications of machine learning techniques, as well as presenting an economic case for using them in the firm.
The Highlights
- Course provider Getsmarter
- UC Berkeley I School offering
- Self-paced learning
- 6 weeks duration
- 7-10 hours per week
- Shareable certificate
- Downloadable resources
- Online learning
- Projects and assessments
Programme Offerings
- online learning
- video lectures
- Offline resources
- quizzes
- Infographics
- Live polls
- Self-paced learning
- Case Studies
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | I School Berkeley |
Eligibility Criteria
Certification Qualifying Details
To qualify for the Machine Learning certification, candidates must finish all the online learning modules and submit all the assigned projects and assignments. Candidates will have to take part in online activities like surveys, quizzes, live polls and more. A sequence of assignments and projects are used to assess the progress of students. All the requirements must be satisfied to qualify for the certification.
What you will learn
Upon the completion of the Machine Learning course for beginners by UC Berkeley, Candidates will obtain an understanding of machine learning techniques as well as knowledge of how to properly apply them inside their business. Students will learn how to establish and lead high-performance groups in order to ensure long-term deep learning practices. Students will also learn how to articulate a machine learning approach to clients.
Who it is for
- Managers in their mid-to senior-level positions who want to boost workplace efficiency and discover new advantages.
- Both Data scientists and corporate leaders want to learn about evidence-based strategy and expert-led modules.
- Those in data-centric or technical roles who want to learn about crucial tools for using and managing machine learning algorithms.
- Business leaders who wish to learn how to communicate and interact with marketing and financial teams.
Admission Details
To get admission to the Machine Learning online certification course, follow the steps mentioned below:
Step 1. Go through the given link to open the official course page (https://www.getsmarter.com/products/uc-berkeley-machine-learning-online-short-course)
Step 2. Locate the ‘Register Now’ button and tap to start the enrolment
Step 3. Read and agree with the getsmarter T&C to further continue
Step 4. Generate a profile on the provider website by filling in personal information
Step 5. Fill in the billing address and optional sponsor information
Step 6. Pay the fee amount using a preferred method and start learning
The Syllabus
Use machine learning to solve problems in your organization.
Identify the ethical implications of using data to solve business problems.
Determine the performance of machine learning models.
Consider the appropriate applications of deep learning in business.
Examine the factors affecting a model’s readiness for deployment.
Communicate a machine learning approach to a wider audience.
I School Berkeley Frequently Asked Questions (FAQ's)
Python is one of the best programming languages for machine learning.
Un-supervised, supervised, reinforcement learning and semi-supervised learning are the 4 types of machine learning.
Machine learning is a sort of AI that uses previous data to help software programs become more effective at predicting events.
The machine learning online course offered by the University of Cambridge Berkeley is the best short course for machine learning.
Just enrol in the course via Getsmarter and start studying machine learning online.
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