Then this course is for you! This course is designed in a very simple and easily understandable content. You might have seen lots of buzz on deep learning and you want to figure out where to start and explore. This course is designed exactly for people like you! If basics are strong, we can do bigger things with ease.

Learning the theoretical background for data science or machine learning can be a daunting experience, as it involves multiple fields of mathematics, and a long list of online resources. In this piece, my goal is to suggest resources to build the mathematical background necessary to get up and running in data science practical/research work. These suggestions are derived from my own experience in the data science field, and following up with the latest resources suggested by the community. However, if you are a beginner in machine learning and looking to get a job in industry, I don't recommend studying all the math before starting to do actual practical work, this bottom up approach is counter-productive and you'll get discouraged, as you started with the theory (dull?) before the practice (fun!). My advice is to do it the other way around (top down approach), learn how to code, learn how to use the PyData stack (Pandas, sklearn, Keras, etc..), get your hands dirty building real world projects, use libraries documentations and YouTube/Medium tutorials.

Chatbots are making their way into HR. At the beginning of this wave of change, we predict chatbots will change the relationship people have with HR technology. As the application of this technology matures, it will fundamentally alter the relationships people have with each other. Chatbots are software robots that enable technology to interact with humans on human terms. With a well-trained bot, users can say or type what they need, and the bot will locate and provide information, answer questions, and take any action you train them to do.

This course has been designed by two master degree students who are specialized in Data Science and Machine Learning and having 2 years of experience in IT industry so that we can share our knowledge and experience to help you learn complex theory, algorithms and coding libraries in a layman's way. This course has been design in such a way that anyone who has basic knowledge of math can understand the concepts and implement them. We will do all the coding from scratch, so that a person with zero knowledge of programming language will also be able to mastery in this field. The course will not only give you grip over the concepts but it also contains some very interesting and real-life coding excercise which gives great flavour to the course. This Course will also be helpful for those who are having machine learning in their course.

There's a passage in Ernest Hemingway's novel The Sun Also Rises in which a character named Mike is asked how he went bankrupt. Technological change happens much the same way. Small changes accumulate, and suddenly the world is a different place. Throughout my career at O'Reilly Media, we've tracked and fostered a lot of "gradually, then suddenly" movements: the World Wide Web, open source software, big data, cloud computing, sensors and ubiquitous computing, and now the pervasive effects of AI and algorithmic systems on society and the economy. What are some of the things that are in the middle of their "gradually, then suddenly" transition right now?

Aileen Owens is director of technology and innovation at South Fayette School District in McDonald, Pa. She talks about the district's goal of preparing students to solve the world's most vexing problems by teaching them how to think.

Artificial Intelligence (AI) and Chatbots are changing the world in more ways we can ever imagine. Completing a diversified range of tasks, AI and Chatbots have become a normal element in our everyday life. The technology has played an important role in the development of varied fields including education and online tutoring. Through artificial intelligence, educators and educational institutes have been able to offer a personalized learning environment to students. AI-driven tools not only improve student interaction and collaboration but also act as a game changer in the innovative ed-tech world.

Deep learning is a buzzword that has been hyped by the business and technical press for years, often with relatively meager results that failed to live up to expectations. But over the past 18 months, according to a new report from Tractica, the true power of deep learning has been realized, thanks to advances in hardware and algorithms that use pattern recognition applied in a continuous learning loop, enabling them to train themselves to perform tasks without requiring explicit programming code. The sheer power of deep learning, however, is likely to lead to the development of more powerful and disruptive applications of tomorrow, such as driverless cars, personalized education, and preventative healthcare. Tractica forecasts that, with this expanding set of applications, the worldwide deep learning software market will grow from $3 billion in 2017 to $67.2 billion by 2025. "Deep learning has been a key point of focus for many companies, given its potential to transform entire industries," says principal analyst Keith Kirkpatrick.

Based on input from talent acquisition, development and compensation experts from across the globe, Korn Ferry has identified emerging global talent trends for 2019. "Several factors, including an incredibly tight labour market and the massive influx of data are impacting the way HR professionals and talent acquisition leaders are doing their jobs," said Pip Eastman, Managing Director, Asia Pacific Regional Solutions for Korn Ferry's RPO and Professional Search Business. "For small economies like Singapore, these issues will become even more poignant in the face of the looming talent crunch and resulting salary surge. To succeed in attracting, developing and retaining top talent as we head into another year, companies will need to stay ahead of the rising importance of artificial intelligence and talent analytics while being agile and forward thinking in their talent management strategy." Traditionally, employers raised eyebrows when candidates had employment gaps in their resumes for reasons such as caring for children or aging loved ones, or simply learning a new skill or travelling.

The viral video that seemed to show a white teenager in a MAGA hat harassing a Native American elder near the Lincoln Memorial turns out to have captured a more complicated conflict. The clip, which drew widespread condemnation over the holiday weekend, appeared to depict a then-unidentified teenager silently leering in the face of a Native American man who was beating a traditional drum. The teenager was surrounded by dozens of rowdy peers from the all-male Covington Catholic High School in Kentucky, who were in town to attend the anti-abortion March for Life; the man was participating in the annual Indigenous People's March the same day. In a post I wrote on Saturday, I described the boy's serene, smug facial expression as "both punchable and untouchable." In the days that followed, new accounts and new angles on the confrontation began to emerge.