Advanced Data Modelling for Deep Neural Network fitting

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Price: 49.99$

Why this course The course teaches from scratch, the correct process for fitting a Deep Learning model. The code is written in Python and is fully downloadable. At the end of the course, you will confidently feel able to fit such a model from scratch. Employment: You can work as a Data Scientist/Data Engineer/Software Engineer / ML engineer in a firm/company (e. g. Mc Kinsey, JP Morgan, Blackrock etc). Or you may want to start your own business. Or you can even work your way towards Deep Learning research and become a researcher or pursue a Ph D or an MSc course in the field. Most importantly: You will have built a correct and strong foundation. What makes this course so different from others: You save time because you learn the code that is truly needed to fit a DL model. You will not learn any unnecessary theories or abstract mathematics. You will learn only what is truly needed! Also: you will not get stuck! Because the code is fully tested, and recently updated, and the instructors are always responsive! You can even connect with us live on a chat! No hiding behind excuses I am busy. Join fellow Machine Learning experts in learning to fit a Deep Learning Model! You will be guided through every step of coding the model, which has been already used in the real world, in a real-world case study. By the end of this course, you’ll be able to: Code your own Deep Learning model in Python. Receive your official certificate. The course is suitable for you even if you have no background in Deep Learning. In this Deep Learning course you will learn: How to formulate the model and implement it in Python  All the jargon and concepts that are important to know such as training dataset and others. How to code efficiently, and get familiarised with the techniques that will make you build a model appropriate for real-world case studies.  For your convenience, the course is broken down into 3 sections: The Data Pre-processing Stage, which involves downloading the Data from a reliable source ( World Bank in our case ) and processing them so that they are brought into a form required by the model. The Development of the Data Structures needed for the model development, including dataframes, splitting the datasets and scaling the data; all these concepts and methodologies are explained in great detail. The Development of the models themselves, which involves definition, compilation and fitting/training of the models all these concepts are explained in great detail and coded in Python. All commands are explained line by line. By finishing this course, you will have the confidence to develop a powerful machine ready to be used. If you think that this Deep Learning coding is complicated, it’s not. If you think watching this course won’t make a difference in your professional career. think again.  If you think that you will get stuck because you do not have experience or knowledge: NO you will NOT get stuck because we are here to always reply to your questions and help you understand every detail! We are instructors who truly care about your success. We are not hiding. You can even find us live on a chat!  Enrol today and enjoy: Lifetime access to the course and all future updates. High-quality, up-to-date video lectures. With subtitles that are carefully written and accurate. Instructors who TRULY care and REPLY as fast as possible! You can even connect us live on the website www datasciencedatabase com. Literally, live: you send a message, we read it on our phone and reply!30-day, no questions asked, money-back guarantee. Fully responsive feedback: If you do not like something, we are happy to record it again or make a new video with more explanations! High average student rating. With the 30-day 100% money-back guarantee, there’s no reason to hesitate. Your investment in this course will quickly be paid back.  Instead of struggling and trying to do everything yourself, just learn from someone who has already figured it out. This course is not teaching generic knowledge. Unfortunately, many courses are many hours long and teach all sorts of knowledge – but this is not productive! You end up wasting months on a course (this is the true cost you are paying!) only to remember 5% of what you learnt after a month! We CAN’T WAIT TO SEE YOUR SUCCESSSee you inside! Who: We are four senior research scientists (Lecturers, Associate Professors, Fellows) leading a Team of Researchers in Academia and Industry.  At least one of us is live on the following website, for any question you may have: www datasciencedatabase com