Get yourself trained on Tensorflow and Keras with this Online Training Tensorflow and Keras For Neural Networks and Deep Learning.
Online Training Tensorflow and Keras For Neural Networks and Deep Learning
THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON!It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using two of the most important Deep Learning frameworks- Tensorflow and Keras. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the Tensorflow & Keras framework in Python.. This means, this course covers the important aspects of Keras and Tensorflow (Google’s powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow and Keras is revolutionizing Deep Learning… By gaining proficiency in Keras and and Tensorflow, you can give your company a competitive edge and boost your career to the next level.THISISMYPROMISETOYOU: COMPLETETHISONECOURSE&BECOMEAPROINPRACTICALKERAS &TENSORFLOW BASEDDATASCIENCE!But first things first.My name isMinerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.Over the course of my research I realized almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.. This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework. Unlike other Python courses, we dig deep into the statistical modeling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks! DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED TENSORFLOW DATA SCIENCE: A full introduction to Python Data Science andpowerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniquesin Python A comprehensive presentation about Tensorflow & Keras installation and a brief introduction to the other Python data science packages Brief introduction to the working of Pandas and Numpy The basics of the Tensorflow syntax and graphing environment The basics of the Keras syntax Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow & Keras frameworks Youll even discover how to create artificial neural networks and deep learning structures with Tensorflow & KerasBUT, WAIT! THIS ISN’T JUST ANY OTHER DATA SCIENCE COURSE:Youll start by absorbing the most valuable Python Tensorflow and Keras basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course willhelp you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real -life.After taking this course, youll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow and Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, andimpressyour potential employers with actual examples of your data science abilities.This course will take students without a prior Python and/or statistics backgroundbackground from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooksIt is apractical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results.. After each video you will learn a new concept or technique which you mayapply to your own projects!JOIN THE COURSE NOW!
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.