But where should I start? These questions are answered by the following list - proven profitable one-person startups. It's time to arm yourself with ideas that will enable you to start selling.

Neural Network has been a hot topic from past two decades. It is used by every company or business one or the other way. It is used to recommend posts in medium or recommend videos in YouTube. Used by Tesla to provide Self-driving services in their cars. A neural network is a type of machine learning algorithm that mimics the Human brain.

A few months ago I saw an interesting post on social media. It was in an entrepreneurship forum. A blog writer was asking for help because he/she suddenly had a hard time finding customers. I now suspect that writer's occupation is being disrupted by A.I. Since the 1950s, Artificial Intelligence (A.I.) has been a topic of intense research and speculation. With recent advances in machine learning, A.I. is now becoming a reality, with applications that will touch almost every part of our lives.

Current text classification methods typically encode the text merely into embedding before a naive or complicated classifier, which ignores the suggestive information contained in the label text. As a matter of fact, humans classify documents primarily based on the semantic meaning of the subcategories. We propose a novel model structure via siamese BERT and interactive double attentions named IDEA ( Interactive DoublE Attentions) to capture the information exchange of text and label names. Interactive double attentions enable the model to exploit the inter-class and intra-class information from coarse to fine, which involves distinguishing among all labels and matching the semantical subclasses of ground truth labels. Our proposed method outperforms the state-of-the-art methods using label texts significantly with more stable results.

At the bottom of this post, you can review the recommendations I was given on how to further evolve this Sunday report. For the details, please scroll down to the very end.

Alan Kent from Google revealed a video on search engine optimisation ideas for e-commerce websites, this consists of 8 ideas. You possibly can watch the video embedded beneath or simply learn my abstract of these ideas. Be sure your web page titles together with the model title, colour and sort of product is vital to have in your title. And ensure so as to add structured knowledge to your product web page. Additionally take into consideration your out of inventory merchandise.

The architecture list is down below.

How to implement Generative AI models. Recently, we have seen a shift in AI that wasn't very obvious. Generative Artificial Intelligence (GAI) - the part of AI that can generate all kinds of data - started to yield acceptable results, getting better and better. As GAI models get better, questions arise e.g. Or, how to utilize data generation for your own projects?

Training big networks on large datasets is expensive considering computational equipment, engineers working on the problem in terms of human resources is also very demanding; trials and errors in training models from the scratch can be time consuming, inefficient and unproductive. Imagine the simple problem of classification on unstructured data in medical domain like sorting the X-rays and training the network to identify if there's broken bone or not. To reach any decent accuracy model has to learn what a broken bone looks like based on images in dataset, it has to make sense of pixels, edges and shapes. This is where the idea of Transfer Learning kicks in: model that is trained on similar data is now taken for the new purpose, weights are frozen and non-trainable layers will be incorporated into a new model that is capable of solving similar problem on smaller dataset. Similarly to Computer Vision type of problem, NLP tasks can also be managed with Transfer Learning methods: for example if we are building a model that takes descriptions of patient symptoms where aim is to predict the possible conditions associated with symptoms; in such case model is required to learn language semantics and how the sequence of words creates the meaning.

The world has always been a lopsided, unfair mess--a statement that holds true regardless of whatever business sector you talk about or whichever country you visit. The rich, despite constituting less than 5% of the global population, always seem to wield an unfair influence over the rest--in a relative sense, the have-nots. Giant corporations trample over local businesses when they set up shop in a new country. Issues such as racism, sexism and unfair economic divide have been prevalent for what feels like an eternity. Technologies such as AI, computer vision and NLP were supposed to bridge this gap.