Scaler Neovarsity aims to provide industry-relevant and academically rigorous programs to help learners better prepare for careers in cutting edge sub-fields of engineering, science, applied math and management. Our core tenets are:
Scaler Neovarsity is founded by industry experts and academia with decades of experience teaching and building cutting edge products for some of the world's largest companies and institutions.
You can find more about us at https://www.scaler.com and AppliedAICourse.com.
The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting-edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is the case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problem solving from first principles.
The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research-level topics, which cover state-of-the-art methods. The program also has a capstone project at the end, wherein students can either work on building end-to-end solutions to real-world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud and Full Stack Development, etc.
The overall course objectives of the programme are:
Knowledge
Skills
Competences
The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting-edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is the case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problem solving from first principles.
The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research-level topics, which cover state-of-the-art methods. The program also has a capstone project at the end, wherein students can either work on building end-to-end solutions to real-world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud and Full Stack Development, etc.
The overall course objectives of the programme are:
Knowledge
Skills
Competences
I am a Machine Learning Scientist by training and work-experience, and an educator with passion. I have been fortunate to have studied at Indian Institute of Science and worked at some of the best tech companies like Amazon and Yahoo! on a wide variety of real world ML and AI problems.
I am a lifelong learner, tinkerer and team-builder.
LinkedIn: https://www.linkedin.com/in/cskvarma/
Research:
My primary research interest is in applications of Machine Learning tools for Signal Processing. Other areas of interest include Pattern Recognition, Statistical Learning, Biomedical Signal Processing, Statistical Signal Processing, Compressed Sensing and Optimization.
Teaching:
Machine Learning, Neural Networks, Statistics, Stochastic Processes, Fourier Analysis, Image Processing
I'm the founder of Woolf, which is building online infrastructure for the future of higher education. Previously, at Oxford, I was a member of the Faculty of Philosophy, a member of Wolfson College, and a member of the governing Congregation of the University. I also held a Humboldt Fellowship, during which I worked on the definition and measure of human progress. I was especially interested in how modern universities were created to support progress.
I am involved in building the best Data Science and ML programs in the world.
I help to bring out the best in others.
Linkedln : https://www.linkedin.com/in/ritwikmalla/
LinkedIn : https://www.linkedin.com/in/hinasharma19/
Medium: https://medium.com/@hinasharma19se
Highly motivated corporate trainer with experience in training small and large groups across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training programs and integrate instructional technology to provide onsite and virtual training.
I am a full stack engineer with more than 3 years of professional experience. I love solving complex problems through code and developing software.
Specialties: C/C++/C#/Java/Perl/Oracle/SQLplus/ R/ Oracle R/ Hadoop/ HIVE/ BigData/SPARK/Machine Learning/Data mining
Preparing a generation of coders who will change a country.
An engineer who helped build Facebook chat and messages, along with the new Messenger. Committed and devoted to creating 1M+ world-class engineers by giving them the right learning outcomes. If you'd like to join me in the mission, send a "Hi". Quality trumps Quantity.
Setup a one-on-one session with me at https://topmate.io/sumit_jain
I am a curious and passionate individual, with a grit to explore new tech to disrupt varied domains.Being a good learner and a hard worker, I have devoted my interests in learning and contributing to a lot of things over the course of my life until now and these will just keep growing.
Building end to end large scale enterprise grade Artificial Intelligence/Machine learning applications and products is something which I absolutely love to do and made it my full time(Industry) and, part time mentoring and volunteering, continuing from the past few years.
I help build data science careers of lot of aspirants. Up until now, I personally mentored 50+ aspirants (significant % with total work ex more than mine) and my lectures/courses/sessions have helped minimum 1000+ learners and counting. I have taken technical sessions for audience strength of 130-150 data science learners at a time. I also take mock interviews and actuals to help prepare aspirants for interviews of competitive companies.
With an entrepreneurial mindset, I have a sharp interest in building high potential projects that might turn into startups. I love attending conferences and meetups to build relationships with like minded passionate personalities and discuss potential ideas. I aspire to be an inspirational entrepreneur and, an expert generalist which i consider as my infinite goals.
Professionally, I love challenges and opportunities that keeps me on my toes all the time. You can know about my experiences through my profile, below.
Personally, when I am outside work, I travel and explore the world, play tournament cricket, go for treks, experience stuff i never did before, get to know people, make friends and learn from their experiences.
I love making new professional acquaintances and, hey, they usually turn into amazing friendships. Reach out to me and let's have a nice conversation.
Ping me on Hangouts/mail @ sumitjain.bits@gmail.com
One of my ML lectures: https://youtu.be/i06byQMdAzo