Master Essential Math Skills for Data Science & Machine Learning 📊

Mathematics for Data Science | Mathematics for Machine Learning | Essential Math for Data Science Hi learners, welcome back to our new video. In this video, we will discuss the essential Mathematics for Data Science. We will be discussing Probability and statistics, Machine Learning, Deep Learning & Model Performance Optimization. Topics Covered: 0:00:54 Agenda 0:02:02 What is Data Science? 0:03:30 Skills required to become a Data Scientist 0:08:50 Case Study: Predict House Prices 0:20:30 Case Study: Lockdown Impact on COVID-19 Spread 0:28:54 Case study: COVID-19 Positive Rate Analysis 0:38:15 Case Study: COVID-19 Detction 0:44:25 Important steps in Data Science 0:45:42 Probability & Statistics 0:47:40 Machine Learning 0:48:55 Deep Learning 0:49:28 Model Performance Optimization 0:49:50 Summary Data science is not complete without mathematics. Anyone working as a data scientist or planning to pursue a career in the area has to have a solid foundation in a variety of quantitative disciplines. Although there are other requirements for your degree and employment in data science, math is frequently one of the most crucial. One of the most crucial elements in a data scientist's workflow is locating and comprehending business difficulties before transforming them into quantitative ones. Since machine learning is mostly based on mathematical concepts, people will find it more intriguing if you can comprehend why arithmetic is applied. You will comprehend why we choose one machine learning algorithm over another and how it impacts the effectiveness of the machine learning model as a result. Commonly Asked Questions: What role does Maths play in DS? - How much Mathematical depth is needed for DS? Does DS need Statistics? How important is Mathematical modeling for data scientists? How good do you have to be in Maths to be a good data scientist? How can | learn DS with no Maths background? As a beginner in DS, should I learn the Maths behind ML algorithms or just how to use them? How do | become a data scientist as a Maths major? How do | develop the Maths background necessary for DS? Visit Great Learning Academy to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, and many more. These are supplemented with free projects, assignments, datasets, and quizzes. You can earn a certificate of completion at the end of the course for free. https://www.mygreatlearning.com/academy?ambassador_code=GLYT_GLYT_AIML_GUESTLIV_170822_ENG&utm_source=GLYT&utm_campaign=GLYT_GLYT_AIML_GUESTLIV_170822_ENG Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high-growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - For more interesting tutorials, don't forget to subscribe to our channel: https://bit.ly/2s92TDX - Learn More at https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Telegram: https://t.me/GreatLearningAcademy - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube