- Regression
- Decision Trees
- Perceptron Algorithms
- Training and Tuning Models
- Ensemble of Learners
- Naive Bayes
- Support Vector Machines
- Evaluation Metrics
Intermediate
Online
3 Months
Quick facts
particular | details | |||
---|---|---|---|---|
Collaborators
Amazon Web Services,
+1 more
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
This Introduction to Machine Learning with TensorFlow certification course is to engage the candidate in the techniques of Machine learning with the information related to algorithms in TensorFlow. It helps the learners to understand the concept of Machine learning and its techniques. Jobs related to machine learning are the most emerging and much in-demand jobs in the professional world.
Such technologies are very much needed and Machine learning is the best way to get into the technology industry. Learners with skills related to this study can easily find themselves competing in this field. It's an easy and fun way to get all the necessary knowledge about this study.
This Introduction to Machine Learning with TensorFlow training course provides learners with various activities to test their skills and prove their knowledge. Machine learning and its skills can bring so many changes than what actually is available. Learners with active interest can easily find themselves completing this course easily.
The highlights
- 3-month programme
- 10-hour/week of dedicated study
- Collaboration with Kaggle and AWS
- Certificate by Udacity
Program offerings
- Project reviews
- Real-world projects
- Project feedback
- Students community
- Technical support
- Personal career coaching
Course and certificate fees
The Intro to Machine Learning with TensorFlow certification fees can be paid Upfront or with the Pay as you go structure.
Intro to Machine Learning with TensorFlow Fee Structure
Description | Amount in INR |
Intro to Machine Learning with TensorFlow | Rs. 20,500 |
certificate availability
certificate providing authority
Eligibility criteria
Work Experience
- Candidates must have a minimum experience of 40 hours in programming
- He/she must be able to work with lists and dictionaries
- He/she should hold an experience working on libraries such as Pandas and NumPy
Education
It is essential to have basic knowledge of statistics and probability in areas such as variance, mean, probability distribution, etc.
Certification Qualification Details
The programme comprises contents, curriculum and three projects which needs to be completed in 3 months’ time. These projects are submitted for review to Udacity’s reviewer network. Post passing these projects, the candidates are given the Introduction to Machine Learning with TensorFlow certificate by Udacity of qualification.
What you will learn
After completion of this Intro to Machine Learning with Tensorflow certification syllabus, the participants will be able to master the following:-
- Develop a good knowledge of Machine learning techniques
- Learn all about Tensorflow
- Great knowledge of python
- Become a feature engineer to improve their performance in this field
- Understanding of algorithms including metrics like accuracy and speed
- Learn building predictive models with the help of unsupervised and supervised machine learning techniques
- Work on SQL and Python to analyse and access data from other sources of data information
Who it is for
This course’s syllabus will only be suitable for those who have prior python programming understanding and would want to see them working as Python programmers or ML engineers.
Admission details
The candidate applying for Intro to Machine learning with TensorFlow classes admission need to follow the below mentioned steps:
Step 1: Click on: https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230
Step 2: There is an Enrol Now tab which needs to be clicked. Thereafter, the user needs to choose from two payment options - Pay Upfront and Pay as you go.
Step 3: Choose the plan as desired. The regular students will select the Returning student tab while the new users will go for Quick Checkout.
Step 4: Quick checkout option will need a sign up from Google or Facebook ID
Step 5: The fee payment page will appear wherein the programme fees and other details will be mentioned.
Step 6: The user needs to make the payment via desired payment mode post which he/she can easily access the entire programme.
The syllabus
Supervised Learning
Neutral Networks
- Introduction to Neural Networks
- Training Neural Networks
- Deep Learning with Tensorflow
- Implementing Gradient Descent
Unsupervised Learning
- Clustering
- Gaussian Mixture Models
- Hierarchical and Density-Based Clustering
- Dimensionality Reduction
Scholarship Details
Candidates enrolling for Intro to machine learning with TensorFlow programme can seek scholarship opportunities by visiting this page https://udacity.zendesk.com/hc/en-us/categories/360002443511-Scholarship-Programs.
After clicking the Notify Me tab, candidates can fill in their information and submit. The candidates will then receive notifications for scholarships about the respective programmes that are updated on the website.
How it helps
The programme Intro to Machine Learning with TensorFlow is undoubtedly the need of the hour. Companies/Organizations are lacking such talent that has pursued this programme. Hence, in case of a scenario, the ones working in this field are doing really well on the monetary front.
The Introduction to Machine Learning with TensorFlow certification benefits is a vast topic. The Candidates post completion of this programme will not only get a good job in terms of work profile but it will also fetch a good pay for them. Ensuring professional progress, the programme once added to the profile will welcome relevant and high paying job opportunities.
Since the subject is complex, the candidate can easily handle such problems in real-life scenario with ease. The programme creates and nurtures a strong and technical mindset to deal with any job requiring candidates for this profile.
Instructors
Ms Cezanne Camacho
Instructor
Freelancer
M.S, Other Masters
Mr Mat Leonard
Instructor
Freelancer
Ph.D
Mr Luis Serrano
Instructor
Freelancer
Ph.D
Mr Andrew Paster
Instructor
Udacity
Mr Michael Virgo
Manager
Udacity
Mr Dan Romuald Mbanga
Instructor
Amazon.com Inc.
Ms Jennifer Staab
Professor
Freelancer
Other Masters, Ph.D
Mr Sean Carrell
Instructor
Freelancer
Ph.D
Mr Josh Bernhard
Data Scientist
Freelancer
Mr Jay Alammar
Instructor
Freelancer
Other Bachelors
Mr Juan Delgado
Content Developer
Udacity
Other Masters, Ph.D
FAQs
Well, the total time of this programme is 3 months. Candidates need to dedicatedly impart 10 hours per week for attending the sessions.
While studying, you might come across questions/doubts. But do not worry. Our Technical Mentor support system, as well as Student Community, will help mutually in getting all the queries solved.
Post completion of Intro to Machine Learning with TensorFlow from Udacity, you can check out other programmes namely, Artificial Intelligence Nanodegree Programs, Self Driving Car Engineer and Machine Learning Engineer Nanodegree Programme.
The programme structure comprises 3 projects, course and curriculum to submit, pass and clear. In case, you clear all these, then you will be given a certificate of completion.
Udacity provides a 7-day free trial before making the payment. Hence, once everything is finalized, the payment cannot be refunded.
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