Tensorflow is an open source numerical computing library for implementing production-ready…
Using data science in the banking industry is more than a trend, it has become a necessity…
The Idea of Neural Networks was first introduced way back in the 1950s, but it wasn’t until 2012 that they come to action. Even application of Optimization Algorithm(Gradient Descent) in 2006 by Hinton, wasn’t giving…
Recommendation systems describe the techniques used to predict ratings and opinions in which a user might have a propensity to express. As an example, think of the recommended content shown to users on Netflix or perhaps the products a user may…
By- Rachit Kumar Agrawal
Machine Learning’s theoretical foundation dates to 1763 when Bayes Theorem was discovered. The first learning machine was also discovered as early as year 1950 by…
Find an update to this article here: How Generative AI helps improve your business
With the exponential growth of computation power and the adoption of the Artificial neural network…
The concept of multi-GPU model on Keras divide the input’s model and the model into each GPU then use the CPU to combine…
Correct use of the Big Data analytics and ML algorithms helps boost the customer satisfaction, secure the bottom line and increase the ROI. Quite opposite, the Big Data misuse results will be awful.
This is a comparison of CalorieMama.ai API against the review at https://bytes.grubhub.com/https-medium-com-rohan-kulkarni-comparison-of-image-recognition-apis-on-food-images-cddc9105fc33
สวัสดีไดอารี่ กลับมาอีกครั้งหลังจากห่างหายไป 1 เดือน หวังว่านายคงจะจำเราได้นะ
Nowadays, many products start to adapt machine learning in their development process. Machine learning is good at processing data to provide suggestions/predictions, but how does…
We’re super excited to have the applications going for this 2nd edition of the Academy. It’s been quite a…
The artificial intelligence revolution is changing the future, much like the industrial revolution before it. The…
Introduction
This article is to primarily express the beginning of my Journey through the world of ML/Deep Learning
The Beginnings
The hype and anxiety on the rise and use of AI and it’s possible ill effects on…
In this series of posts, I will try to build a recommendation engine to recommend…
In Part 1, we created some helper functions to perform IO using TensorFlow’s tf.python_io APIs. Specifically, we created a function to load example data from a binary file as a collection…
tf.python_io
For anyone following our weekly AI posts, last week we trained a deep network for country of origin. With all of our models we do something we call deep indexing where after the model is trained we can index the training set, and cluster it by label. Doing…
16th of March 2018
In the last post I talked about some of the basics of structural biology. I’m focusing on these annoying loops that form part of the antibody — the bits that do the work. My theory is maybe neural networks…
Something quite interesting is happening where the worlds of tech and business collide and it’s a little thing called…
Inteligência Artificial é a ciência de construir coisas inteligentes.
Though I have implemented my fair share of machine learning models, from neural…
Regression models (both linear and non-linear) are used for predicting a real value, like salary for example…
I present BazingaBot: a simple but effective Knowledge Chatbot
Amazon.com owes its early success to book recommendations. Today, American adults read on average five books per year, heavily weighted toward recent books. But interesting books have been published for centuries. Gutenberg…
Even as nearly every major industry embraces AI, many companies remain wary. Their concern? Well, as Tom Cruise famously put it in Jerry Maguire, “Show me the money!”
Photo of the Week
On a trip up to Aberystwyth this week (see below), we took a wander along the…
“In 10 years, AI will be as exciting as electricity is to us today. You walk into a room right now and you don’t even have to switch the lights on. AI will be like that. AI will be an obvious part of our business processes. You wouldn’t want to run a business without it” Michael Natusch, Prudential
Hai Evan
Thank you for clean and clear explanation of boosting and lucky to read this article.Could you explain the parameters tuning in XGBoost model for more understanding.What are the consecutive effects of parameters.
Thank you.
El pasado 8 de marzo asístí al evento Google Cloud Onboard Training, celebrado en Barcelona.
When I started in Zalando Tech, I hadn’t worked with a product manager before, and I had probably never seen a UX…
以 tensorflow 來說，有很多種方式可以實作一個兩層 neural network。以比較 low-level 的 api 來說，plain tensorflow 和 tf.layers.dense 都是直覺可以想到的方式。
def neuron_layer(X, n_neurons, name, activation=None): with…
At TellusLabs, we combine decades of satellite imagery with machine learning to answer…
In the early days of Animusoft (2012) there were days where I would try to get my mind off the chaos. Part of making a tech start up is exploring things a bit and seeing how those things can become a part of your business. Some of…
I helped out someone on StackExchange with their sentiment analysis model (https://stackoverflow.com/questions/49286496/keras-text-classification-validation-accuracy-doesnt-change/49287201#49287201). This problem demonstrates that tokenization, model…
Today, Machine Learning (ML) is a hot topic. Broadly speaking, it is part of Artificial intelligence (AI) which is a topic that dates back to 1950's. Although the concepts of AI were founded in 1950’s it’s adoption and benefits were restricted to…
2018 Trends in Artificial Intelligence
The worlds of data science, artificial intelligence and machine learning are moving so fast that it can make your…
I completed my last course in Deep learning on Coursera today, which concludes my specialization in Deep Learning.
IntroductionAs a Machine Learning engineer, practitioner and enthusiast, I am always thrilled to…
“How much effort are you willing to put in to correcting your past sins and atoning for those before you move up the sophistication ladder. I would argue it would be a good practice to do…
I don’t know about the love life one, sounds like a bit of a stretch even if you get the guys at Google progammming it on what to say, do, or learn. And I sure don’t want a Samantha from that movie Her.
Techvantage Analytics, the provider of Analytics, Machine Learning and Artificial Intelligence operating in Technopark, the IT HUB of Kerala, India.
TechVantage, which has its Sales Offices in USA and Germany, participated in…
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can be understood by people with no statistics background…
Diaceutics, an Irish-based company helping patients to receive potentially lifesaving medicine through better diagnostic…
Today, 03/16/2018, St.Patrick’s Day Eve (coincidence?), I found a GitHub repository from from Niek J. Sanders with a project that’s almost the same as mine. There I read that for his project, the number of tweets that was necessary to train an NLP algorithm was much…
Want to know more about machine learning? Pavel Konovalov, Machine Learning Engineer at Sigma Software, tells about the stages of analytics evolution, what is proactive analytics, and what types of machine learning are used in business…
A survey by LivePerson in 2017 found that more people globally found chatbots positive rather than negative (38% to 11%) although the majority (51%) were indifferent.
“Avoiding potholes is primary, however, if you spend all your time fixing potholes; you know, debugging the app, then you actually never get to build peak experiences. You never get to build a delightful moment — and it’s a moment.” — Kent White
Hey Baum Schule, I glad that you also started writing thoughts like these down.
I woul like to comment on the first point. While experimenting with neural networks in TensorFlow I stumbled onto the fact that ANNs are initialized in a way that every input basically produces the same output, i.e. everything is the same for the…
Sam Charrington, host of Machine Learning & Artificial Intelligence (TWiML & AI) podcast and Evan Wright Principal Data Scientist at Anomali discuss a number of topics surrounding the use of machine learning in cybersecurity.
Machine Learning, an essential pillar of Data Science is the key to making robots to do the actions. It does the learning mechanism for robots and computers which make them understand to make the decisions independently.
