9 Must-have skills you need to become a Data Scientist, updated

Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.

Source: HOB

Is Google Tensorflow Object Detection API the Easiest Way to Implement Image Recognition?

There are many different ways to do image recognition. Google recently released a new Tensorflow Object Detection API to give computer vision everywhere a boost.

Source: HOB

Today I Built a Neural Network During My Lunch Break with Keras

So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.

Source: HOB

50+ Useful Machine Learning & Prediction APIs, 2018 Edition

Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.

Source: HOB

How to Organize Data Labeling for Machine Learning: Approaches and Tools

The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.

Source: HOB

An Executive Primer to Deep Learning

Circa 1997, the reigning world chess champion Garry Kasparov was against an unknown opponent. The opponent was formidable. Garry was not playing a human. He was playing the game with IBM's behemoth supercomputer, Deep Blue.

Source: HOB

Artificial Intelligence vs. Machine Learning vs. Deep Learning

Clear up the confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning differ.

Source: HOB

Who Is Going To Make Money In AI?

We are in the midst of a gold rush in AI. But who will reap the economic benefits? The mass of startups who are all gold panning? The corporates who have massive gold mining operations? The technology giants who are supplying the picks and shovels? And which nations have the richest seams of gold?

Source: HOB

Benefits and Ethical Challenges in Data Science - COMPAS and Smart Meters

Recent advances in processing large amounts of data have generated a plethora of new opportunities to improve individual lives and the welfare of our societies. For example, smart meters monitoring domestic electricity consumption can help save electricity when not at home or suggest the cheapest electricity supplier depending on the consumption pattern.

Source: HOB

How to Boost your Sales using Data Analytics?

Analytics has become almost an integral part of any organisation process. It has wide scope in improving decision-making ability, efficiency and growth of the org. In marketing and sales, Some company use data analytics as a tool to enhance efficiency of sales team, increase customer base, generate more revenue and ensure Customer loyalty. However most of the company are still not actively involved with it.

Source: HOB

Impact of Technological Revolution on HR Practices

Technologies have changed the way we live, the way we do our business, the way we interact with each other.it has almost transformed the process of business as a whole. Earlier Human Resource management was only restricted to recruitment, selection, compensation and training. But the technologies have changed broaden the scope of Human Resource Manager.

Source: HOB

Three IIT graduates have created India's first robot buddy for kids

Around a decade ago at the Indian Institute of Technology Bombay (IIT-B), classmates Sneh Rajkumar Vaswani, Chintan Subhash Raikar, and Prashant Iyengar were involved in a project to build intelligent underwater vehicles for the India Navy and the oil and gas industry. In the process, they developed a knack for artificial intelligence (AI) and robotics.

Source: HOB

A Beginner's Manual to Data Science & Data Analytics

Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data has been a crucial part of our lives.

Source: HOB

Artificial Intelligence: A big boon for recruitment?

Artificial Intelligence is a buzz word. Heard about it many times? Experienced it? Artificial Intelligence is transforming our day-to-day tasks, business operations & much more. But, Humans are scared to use Artificial intelligence.

Source: HOB

Web Scraping Using Python for Beginner's

In the Big Data world, Web Scraping or Data Extraction services are the primary requisites for Big Data Analytics. Pulling up data from the web has become almost necessary for companies to stay in business.

Source: HOB

27 Incredible Examples Of AI And Machine Learning In Practice

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning.

Source: HOB

What should be focus areas for Machine Learning, AI in 2018?

This article looks at what are the recent trends in data science/ML/AI and suggests subareas DS groups need to focus on.

Source: HOB

Machine Learning Engineer, Researcher, Data Scientist have the highest job satisfaction

KDnuggets poll finds that Machine Learning Engineer, Researcher, and Data Scientist have the highest job satisfaction. Job satisfaction usually starts high, but drops significantly after 4 years on the job. Data professionals in Asia and Latin America are most unsatisfied.

Source: HOB