Created by Lazy Programmer Inc. English [Auto-generated], German [Auto-generated], 3 more Created by Lazy Programmer Inc. In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE. After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff.
Artificial intelligence (AI) is playing an increasingly important part in our daily lives, whether it is providing our personalised social media feeds, online shopping or streaming movie suggestions, or even the mapping apps that route us around traffic jams. On a bigger scale, AI is already having a major impact on healthcare, finance, farming and many other sectors and its influence is predicted to expand rapidly in the coming years. One area where there is considerable untapped potential for AI is in the field of Earth observation, where it can be used to help manage large datasets, find new insights in data and generate new products and services. With this in mind, EUMETSAT, ECMWF, Mercator Ocean International and the EEA have joined up to develop a new massive open online course (MOOC) on AI and Earth monitoring. The idea for the course is to introduce participants to the wealth of Copernicus Earth observation data and the AI and machine learning techniques that can be used to work with it.
Last March, Zoom, the ubiquitous online conferencing platform, became a staple of daily life for many students and educators as learning shifted online. Millions downloaded it--and first learned of it--back in early 2020, when lockdowns forced billions of students online, and at least 100,000 schools onto Zoom. But as the company itself will tell you, it didn't spring up overnight. Zoom is actually a decade old, and the first conferences launched in 2012, limited to a mere 15 participants. While post-pandemic growth has slowed as schools resume in-person learning, the company is still flush with cash, reporting over $1 billion in revenue in the second quarter of 2021.
A Complete Guide on TensorFlow 2.0 using Keras API, Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0 Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka AnicinPreview this Course - GET COUPON CODE Welcome to Tensorflow 2.0! TensorFlow 2.0 has just been released, and it introduced many features that simplify the model development and maintenance processes. From the educational side, it boosts people's understanding by simplifying many complex concepts. From the industry point of view, models are much easier to understand, maintain, and develop. Deep Learning is one of the fastest growing areas of Artificial Intelligence.
Free Coupon Discount - Deep Learning: Advanced Computer Vision (GANs, SSD, More!), VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs More in Tensorflow, Keras, and Python Created by Lazy Programmer Inc. English [Auto], Italian [Auto] Students also bought Deep Learning: Advanced NLP and RNNs Deep Learning: Convolutional Neural Networks in Python Recommender Systems and Deep Learning in Python Deep Learning: Recurrent Neural Networks in Python PyTorch: Deep Learning and Artificial Intelligence Preview this Udemy Course - GET COUPON CODE Latest update: Instead of SSD, I show you how to use RetinaNet, which is better and more modern. I show you both how to use a pretrained model and how to train one yourself with a custom dataset on Google Colab. This is one of the most exciting courses I've done and it really shows how fast and how far deep learning has come over the years. When I first started my deep learning series, I didn't ever consider that I'd make two courses on convolutional neural networks. I think what you'll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.
Artificial Intelligence A-Z: Learn How To Build An AI - Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! Your CCNA start Deep Learning A-Z: Hands-On Artificial Neural Networks Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs Artificial Intelligence for Business ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects Comment Policy: Please write your comments that match the topic of this page post. Comments containing links will not be displayed until they are approved.
I recently started to follow an exciting and mind-bending philosophy online course at MIT called Minds and Machines. The course is a thorough, rigorous 12 Weeks Learning Path introduction to contemporary philosophy of mind, exploring consciousness, reality, artificial intelligence (AI), and more. It is definitively one of the most in-depth philosophy courses available online that I ever frequented. The first effect of starting study philosophy at Massachusetts Institute of Technology is that I'm asking more challenging questions… the second effect is that I'm writing more about those questions. I'm in this moment, exploring the relationship between the mind and the body, the capacity of computers to think, the way we perceive reality, and the perspective of the existence of a science of consciousness. As a first result, I've started to pay particular attention to one specific question that definitively has a lot to relate to my daily work as an AI expert: what is intelligence?
The field of data science is growing with increasing demand. Data science is not limited to only consumer goods or tech or healthcare. There is a high demand to optimize business processes using data science from banking, transport to manufacturing. Organizations are now hiring data science professionals to deal with complex data. To become an expert in data science read the article and check out the list of top-rated data science courses on Coursera.
Become a complete Python developer! Join a live online community of over 330,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched for 2020 (updated this month)! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python).
Data Science, which is also known as the sexiest job of the century, has become a dream job for many of us. But for some, it looks like a challenging maze and they don't know where to start. If you are one of them, then continue reading. In this post, I'll discuss how you can start your journey of Data Science from scratch. I'll explain the following steps in detail.