Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence. Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning. Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems.

An online course with an AI tutor achieves a significantly higher completion rate than traditional online courses thanks to a personalized learning experience. Does Artificial Intelligence enable quality education for everyone? Artificial Intelligence can revolutionize education: Instead of mass teaching, AI tutors could provide personalized, active and hands-on learning experiences. This can be a useful complement to the crowded classroom, the dry lecture, and especially in combination with online courses, which are used by millions of people around the world to learn every day. The latter scenario in particular plays a central role in the plans of learning platform startup Korbit, as only a small portion of humanity has access to quality education.

An online course with an AI tutor achieves a significantly higher completion rate than traditional online courses thanks to a personalized learning experience. Does Artificial Intelligence enable quality education for everyone? Artificial Intelligence can revolutionize education: Instead of mass teaching, AI tutors could provide personalized, active and hands-on learning experiences. This can be a useful complement to the crowded classroom, the dry lecture, and especially in combination with online courses, which are used by millions of people around the world to learn every day. The latter scenario in particular plays a central role in the plans of learning platform startup Korbit, as only a small portion of humanity has access to quality education.

This course also covers essential topics like linear algebra and neural networks which help you develop reliable AI models. So why are you waiting?

Take a step into the future: AI, Machine Learning and Data Science. Do you know what the success of the biggest giants of the web like Google, Amazon and Facebook have in common? The use they made of machine learning. Do you want to change your career?

Complete course for Data Science and Machine Learning with R From beginner to expert in Data Science techniques with R: machine learning, neural networks, text mining What you'll learn Description This course on Data Science with R was created to be a complete path on how data analysis has evolved in recent years starting from classical algebra and statistics. The goal is to accompany a student who has some basic R on a journey through the various souls of Data Science. We will start with a review of the basics of R, starting with downloading and installing, setting up the work environment, going through structures, creating functions, using operators and some important functions. We will then move on to see how to manipulate and manage a dataset, extract cases or variables, generate random datasets, calculate basic statistical measures, create graphs with the Matplotlib and Seaborn packages. In the following sections we begin to enter the heart of Data Science with R, starting with preprocessing: we see how to clean up and normalize a dataset, and how to manage missing data.

This course on Data Science with Python was created to be a complete path on how data analysis has evolved in recent years starting from classical algebra and statistics. The goal is to accompany a student who has some basic Python on a journey through the various souls of Data Science. We will start with a review of the basics of Python, starting from downloading and installing, setting up the work environment, going through structures, creating functions, using operators and some important functions. We will then move on to see how to manipulate and manage a dataset, extract cases or variables, generate random datasets, calculate basic statistical measures, create graphs with the Matplotlib and Seaborn packages. In the following sections we begin to enter the heart of Data Science with Python, starting with preprocessing: we see how to clean up and normalize a dataset, and how to manage missing data.

Tim has a passion for teaching and loves to teach about the world of machine learning and artificial intelligence.

"I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful." "By taking this course my perception has changed and now data science for me is more about data wrangling. Welcome to The Complete Course for Machine Learning Engineers.

Welcome to the course on "Simple Linear Regression Analysis ( A Complete Course)" This course covers running and evaluating linear regression models (simple linear regression) including assessing the overall quality of models and interpreting individual predictors for significance with PDF files and complete exercises that consists of examples and concepts . We also explore R-Square in depth, including how to interpret R-Square for significance. Together with in-depth coverage of simple regression, we'll also explore correlation, which is closely related to regression analysis. By the end of this course you will be skilled in running and interpreting your own linear regression analyses, as well as critically evaluating the work of others. Lectures provided in HD video .While you can be confident that you are getting accurate information with Quantitative Specialists, Be confused by regression no longer -- Enroll Today!