Thank you for all your videos. Please do keep up with them. I am learning a lot. I am completing my bachelors as a statistics specialisation student in data science and machine learning. And I am slightly clueless about proceeding and cracking the entry level data science interviews. Please do make video on that.
I am in my final year of Masters in Computer Application. Just last year I realized that I don't want to go in software development jobs, but I want to go for research. I have worked on some ML projects that involved image processing. Then I also completed some deep learning certifications from courtsera. How do you suggest I should move forward?
Deep learning is hot. I guess do some project of decent complexity and get a job/internship in a similar space where your strengths lie. Job or internship make sure you are paid a decent pay. Read a lot. The video gives a glimpse of breadth you can choose from. Read research papers in some area of your interest. It's also a demanding space, you have to add value to your company and be updated as well. Simpler things will be automated soon. Also no one pays you to study. That makes it tricky prioritisation.
Follow this channel. I will create more content when I can find time. I have a playlist on fundamentals called yet another tutorial on linear regression. Don't be confused by the simplicity of the name.
If you are serious about ML this is not the only book you will ever read. Just get started. ESL is also a good book. Keep learning new algorithms and paradigms this book or other books. Explore more topics by whatever resources you find good for yourself.
Sir, I am learning data science from simplilearn. It is a master program. I do not have a bachelor's degree. I am only 12th pass with science (math) and working as a medical transcriptionist for the last 12 years. I am from India and my aim is to get job in USA. Plz guide me.
This is not something I am good at. I might know how to do it for someone in my situation but I don't know how to do it in general. One way might be get into a top technology company. But I don't know if big companies will hire someone with your credentials for tech role. I have heard Google doesn't need a degree. That said and assuming you get a job there then work for few years there. Gain experience. Internal transfers in companies like Amazon or Google is easy. That can enable you to move to US. Directly getting a job there and someone sponsoring your visa might be difficult.
Usually a PhD is more than enough but which field or which group also matters. But ofcourse there are specific groups in companies like deepmind which have their own requirements. A PhD doesn't guarantee anything and it's easier task to get a job in industry. You need to polish or aquire skills needed in industry. A PhD in machine learning and related field will usually give you the skills but you should not forget practical aspects because PhD can also be very theoretical.
@@theCuriousCuratorML People said that You need Phd to get Research scientist role in big tech....What are the maths require to become Research scientist in computer vision? What would be your roadmap of doing computer vision?
@@convolutionalnn2582 if you want to be research scientist at let's say Google or microsoft research. You need stellar publication record. And with publication in top tier conference you will also learn the background needed while on your PhD journey. Tensor algebra and linear algebra. Analysis and optimization. Machine learning. Probability and statistics. Computer vision, multiple view geometry. Calculus. These are few of the subjects you need to be familiar with. Depending on research you might also get expertise in certain subfields. Also i am an applied scientist and that requires more practical skills and knowledge. It's ok not to have research papers in applied science position in industry.
@@TheCuriousCurator-Hindi I am gonna do integrated phd in 4 years.....Any advice on my 1st years(Master) or 2 or 3 or 4? In each year what should i focus on?
