AI & Machine Learning - Nano Degree. Sebastian
AI prepared by Amazon ALexa & IBM Watson
Data Analytics course - Facebook
Machine Learning - Cagil
Full Stack
Free courses and Nano degree.
Nano degree - One on One, Career service, Project reviews, Mentor support.
Each course is divided into modules, and exams.
After 2-3 modules, you will complete a project.
Reviews, are done by people across the globe.
After you finish your Project modules,
How to build your linkedin profile.
What the pre-requsites
1. General CS knowledge
2. How to use Google
3. How to use Text/editor
4. Determination.
What are the projects covered?
1. Movie Trailer website
2. Analyze a perceptual phenomenon.
3. Explore a dataset.
4. Forecast prices.
Time for some Q&A.
1. Placements - connect to top technology companies.
2. 14k - 3 months.
3. Machine Learning Nano degree foundation is for people
who have no programming knowledge.
4. AI - take action from external sources, Deep blue - a program by IBM.
Deep Learning is a subset of Data.
5. Data analytics & Machine learning.
Data Analytics - Visualizing of Data..
Machine Learning - Models which can take action on it.
eg. a Spam model in Gmail, if enough people assign it at Spam in Gmail, it
will assigned as a spam.
6. One project with programming experience is enough to know, that you are
good in programming language.
7. No specific language to know. Basic programming language,
8. Introduction of Tutors - Vardhan. (1 to 1 classroom chats).
9. Data Scientist - A person who can visualize data.
10. Intermediate level Nano degree.
11. If you want to become a Data scientist - Machine Learning Nano degree is the
right option.
12. Projects - Movie Trailer website, basic programming in Python,
How Python works, how to use classes from Python, we will create a website
to gather videos from Youtube.
13. Project 2 - Analyze a perception phenomenon, descriptive statistics,
to compute data, we will dive deeper into the dataset. Create a report or
forecasting prices. We will take a single dataset, we manage a dataset,
we will predict the data with the 2nd half, we will mark an accuracy.
14. Are there Machine learning jobs in India, Flipkart, Amazon,
Bookmyshow,
15. IT Professional.
16. Do I need to have prior knowledge of statistics course. Statistics
knowledge will be good for you to study better.
17. We need to complete this in 3 months.
18. There are free courses to Python, Machine Learning, AI.
19. Self Driving engineer,
20. Swift key - predicts your writing, it predicts what you will type further.
21. Tensorflow, Network effectively, Learning perspective from different people.
Udacity course is more hands on, You want to develop a algorithm or an App from
scratch, you are reviewed from Humans.
22. Classroom mentorship, eg, Facebook chat, there are weekly checkpoints,
where your mentor can help you on that, weekly once you can have a call with
mentor to clarify your doubts, and we connect you with our hiring partners.
23. There is no separate charge for 1 to 1 mentoring.
24. You will be learning - Intro to Python.
25. For more details contact - india@udacity.com.
26. Google's conference - from Mobile first to Machine Learning first.
27. Apple - from Mobile to ML SDK. Ther is a lot of scope for Machine Learning.
There is lot of scope in this market.
28. Udacity has a very big community on ML and AI, and Robotics.
29. Guidance system for Boeing planes - Autopilot option.
https://www.youtube.com/watch?v=ura57XPzXbQ
AI prepared by Amazon ALexa & IBM Watson
Data Analytics course - Facebook
Machine Learning - Cagil
Full Stack
Free courses and Nano degree.
Nano degree - One on One, Career service, Project reviews, Mentor support.
Each course is divided into modules, and exams.
After 2-3 modules, you will complete a project.
Reviews, are done by people across the globe.
After you finish your Project modules,
How to build your linkedin profile.
What the pre-requsites
1. General CS knowledge
2. How to use Google
3. How to use Text/editor
4. Determination.
What are the projects covered?
1. Movie Trailer website
2. Analyze a perceptual phenomenon.
3. Explore a dataset.
4. Forecast prices.
Time for some Q&A.
1. Placements - connect to top technology companies.
2. 14k - 3 months.
3. Machine Learning Nano degree foundation is for people
who have no programming knowledge.
4. AI - take action from external sources, Deep blue - a program by IBM.
Deep Learning is a subset of Data.
5. Data analytics & Machine learning.
Data Analytics - Visualizing of Data..
Machine Learning - Models which can take action on it.
eg. a Spam model in Gmail, if enough people assign it at Spam in Gmail, it
will assigned as a spam.
6. One project with programming experience is enough to know, that you are
good in programming language.
7. No specific language to know. Basic programming language,
8. Introduction of Tutors - Vardhan. (1 to 1 classroom chats).
9. Data Scientist - A person who can visualize data.
10. Intermediate level Nano degree.
11. If you want to become a Data scientist - Machine Learning Nano degree is the
right option.
12. Projects - Movie Trailer website, basic programming in Python,
How Python works, how to use classes from Python, we will create a website
to gather videos from Youtube.
13. Project 2 - Analyze a perception phenomenon, descriptive statistics,
to compute data, we will dive deeper into the dataset. Create a report or
forecasting prices. We will take a single dataset, we manage a dataset,
we will predict the data with the 2nd half, we will mark an accuracy.
14. Are there Machine learning jobs in India, Flipkart, Amazon,
Bookmyshow,
15. IT Professional.
16. Do I need to have prior knowledge of statistics course. Statistics
knowledge will be good for you to study better.
17. We need to complete this in 3 months.
18. There are free courses to Python, Machine Learning, AI.
19. Self Driving engineer,
20. Swift key - predicts your writing, it predicts what you will type further.
21. Tensorflow, Network effectively, Learning perspective from different people.
Udacity course is more hands on, You want to develop a algorithm or an App from
scratch, you are reviewed from Humans.
22. Classroom mentorship, eg, Facebook chat, there are weekly checkpoints,
where your mentor can help you on that, weekly once you can have a call with
mentor to clarify your doubts, and we connect you with our hiring partners.
23. There is no separate charge for 1 to 1 mentoring.
24. You will be learning - Intro to Python.
25. For more details contact - india@udacity.com.
26. Google's conference - from Mobile first to Machine Learning first.
27. Apple - from Mobile to ML SDK. Ther is a lot of scope for Machine Learning.
There is lot of scope in this market.
28. Udacity has a very big community on ML and AI, and Robotics.
29. Guidance system for Boeing planes - Autopilot option.
https://www.youtube.com/watch?v=ura57XPzXbQ
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