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Bank Central Asia, Cloudera partner for data and machine learning


The banks hopes to streamline processes and protect clients from fraud. Indonesia's Bank Central Asia (BCA) will utilise data cloud firm Cloudera to boost operational efficiency and customer engagement, according to an announcement. The bank hopes that Cloudera will help them aggregate structured and unstructured data from emails, social media and call centres, as well as shorten the time taken for queries. Cloudera's data platform has also enabled BCA to implement machine learning processes for automation. As a result, the bank's business units have gained a holistic view of their customers and are using near real-time insights to provide personalised offerings based on customer profiles.

Supervised The Complete Supervised Machine Learning Models in Python


The Complete Supervised Machine Learning Models in Python 4.6 (46 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. In this course, you are going to learn all types of Supervised Machine Learning Models implemented in Python. The Math behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in the intuition part of each Model.

Google to invest Rs 75,000 cr to to boost Digital India drive - Express Computer


Google and Alphabet CEO Sundar Pichai has announced a Google for India Digitisation Fund through which the company will invest Rs 75,000 crore, or approximately $10 billion, over the next five to seven years to drive digital transformation in the country. "We'll do this through a mix of equity investments, partnership investments, and operational, infrastructure and ecosystem investments. This is a reflection of our confidence in the future of India and its digital economy," Pichai said during the Google for India virtual conference. The fund will focus on four areas that are important to India's digitisation. These include enabling affordable access to the internet and to information for every Indian in their own language and building new products and services that are deeply relevant to India's unique needs including consumer tech, education, health and agriculture.

Recent Study Identifies how Automation and Employment are Linked


It is not surprising that Automation will change the industry landscape while impacting the employment percentage of the common man. Robots have been replacing humans over the past decades in several countries. While some experts believe that it will lead to a future without work, others are unconvinced of this forecast. A study co-authored by Daron Acemoglu, an MIT economist and Pascual Restrepo, an assistant professor of economics at Boston University, states the statistics on this trend and how the impact of robots differs by industry and region and may play a notable role in exacerbating income inequality in the USA. According to the study, from the period of 1990 to 2007, the addition of one robot per 1000 workers reduced the national employment-to-population ratio by an average of 0.2 percent.

Facebook creates robot to wrap fibre over live power lines


Facebook Connectivity, in league with ULC Robotics, has developed a robot capable of winding optical fibre on live medium voltage (MV) power lines that typically serve residential areas in much of the world, at a claimed cost three to five times cheaper than traditional aerial fibre construction. Karthik Yogeeswaran, wireless systems engineer at Facebook Connectivity, said in a blog post the idea for the project came after travelling through rural Africa and noticing the ubiquity of power line infrastructure, which is far "more pervasive than the total fibre footprint of the country". In order to keep costs down, Facebook needed to lower the preparatory and manual work needed to wind fibre around power lines, and to minimise disruption of electrical services, the robot needed to able to do its job on a live line and be able to avoid and cross obstacles it encountered. Keeping the weight of the robot within the limits that a medium voltage power line could handle was a key challenge because it would limit the amount of fibre it could carry, so the size of the cable needed to be reduced. "Using the MV power line as a support adds a number of additional challenges. The first is the voltage stress. MV conductors can have a voltage as high as 35kV which can cause degradation phenomena such as tracking, partial discharge, and dry band arcing," Yogeeswaran said.

Robots are supposed to steal our jobs – so why haven't they during the coronavirus crisis?


Robots are supposed to steal our jobs – so why haven't they during the coronavirus crisis? Robots are already making some progress in healthcare settings, but they need more support if they're to make a real difference

Alma Marketeer


Google will invest $10 billion in India over the next five to seven ...years. Google will use this investment to buy stakes in large Indian companies as well as niche digital service providers. . . Robotic Process Automation (RPA) company, UiPath, announced the closure of its Series E investment round, raising $225 million at a post-money valuation of $10.2 billion led by Alkeon Capital Management. . . ITC Hotels has partnered with online food delivery platform Zomato to offer contactless deliveries on all pre-paid orders from the hotel chain's takeaway menu which will be available on the food delivery platform. . . The recently launched butterscotch flavoured Haldi Milk by Mother Dairy has already received huge positive response.

7 Ways to Make Your Data Scientists Happy


Ever ask your data scientists how they are feeling? More than a quarter (27%) of data experts report feeling unfulfilled or very unfulfilled in their roles, according to a survey released last month by Sigma Computing. Low-value ad hoc reporting requests drain most data experts because they take up half of their time, researchers found. Those reports grow and "spiral into never-ending projects," with more than half (53%) saying they get up to four follow-up questions for each fulfilled data request. Heck, some of their work never even gets finished.

Machine Learning: What Does The Future Look Like?


Machine learning (ML) is the process which enables a computer to perform something that it has not been explicitly told to do. Hence, ML assumes the central role in making sentient machines a reality. With the launch of Sophia, an AI robot developed by Hanson robotics, we wonder how close we are to be outclassed by these smart fellows.

Neural Networks Part 2: Building Neural Networks & Understanding Gradient Descent.


From the previous article, we learnt how a single neuron or perceptron works by taking the dot product of input vectors and weights,adding bias and then applying non-linear activation function to produce output.Now let's take that information and see how these neurons build up to a neural network. Now z W0 xj*wj denotes the dot product of input vectors and weights and our final output y is just activation function applied on z. Now,if we want a multi output neural network(from the diagram above),we can simply add one of these perceptrons & we have two outputs with a different set of weights and inputs.Since all the inputs are densely connected to all the outputs,these layers are also called as Dense layers.To implement this layer, we can use many libraries such keras,tensorflow,pytorch,etc. Here it shows the tensorflow implementation of this 2 perceptron network where units 2 indicate we have two outputs in this layer.We can customize this layer by adding activation function,bias constraint etc. Now,let's take a step further and let's understand how a single layer neural network works where we have a single hidden layer which feeds into the output layer. We call this a hidden layer because unlike our input and output layer which we can see or observe them.Our hidden layers are not directly observable,we can probe inside the network and see them using tools such as Netron but we can't enforce it as these are learned .